diff --git a/.gitattributes b/.gitattributes index 03d7cd2e2d27cfe814ff012f1f8a4b4b3e5d255c..42e328c7004907085c7c9ca92c80eac98cfc91f5 100644 --- a/.gitattributes +++ b/.gitattributes @@ -71888,5 +71888,4 @@ HOI4D/shared-v1.1/data/ZY20210800003_H3_C12_N20_S173_s05_T1/ego/observation/dept HOI4D/shared-v1.1/data/ZY20210800003_H3_C12_N20_S173_s05_T1/ego/observation/depth_valid.mkv filter=lfs diff=lfs merge=lfs -text HOI4D/shared-v1.1/data/ZY20210800003_H3_C12_N20_S173_s05_T1/ego/observation/rgb.mkv filter=lfs diff=lfs merge=lfs -text HOI4D/shared-v1.1/data/ZY20210800003_H3_C12_N20_S206_s05_T2/ego/annotation/segment/mask.mkv filter=lfs diff=lfs merge=lfs -text -EgoHOS/shared-v1.0/**/*.mkv filter=lfs diff=lfs merge=lfs -text EgoHOS/shared-v1.1/**/*.mkv filter=lfs diff=lfs merge=lfs -text diff --git a/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000000/ego/annotation/segment/instances.jsonl b/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000000/ego/annotation/segment/instances.jsonl 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"outputs/EgoHOS-full/shared-v1.0/data/test_indomain_1440x1080_000000/ego/annotation/segment/mask.ffv1.mkv" - ] - } - ], - "failed_candidates": [], - "pixel_coverage": "ALL frames, count and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000000/ego/metainfo.json b/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000000/ego/metainfo.json deleted file mode 100644 index 41251e635b24934b89f401c039a031b40baa3a78..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000000/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "test_indomain_1440x1080_000000", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "test", - "sampling": { - "type": "independent", - 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"decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "rgb24", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "copy", - "stream_copy": true, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 1440, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000000/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000000/ego/observation/rgb.mkv deleted file mode 100644 index 6b257ebb56bda00a9b50cb03eb9a41d5727892ee..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000000/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:1f22311303f42ae9a9e701cf9693f03d59f287b0e261d420801de027f44262ba -size 21900992 diff --git a/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000000/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000000/ego/observation/rgb_valid.pt deleted file mode 100644 index 38897b6a890a2cd9be31dd6ca9c6644f597e145b..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000000/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:aa7fff018778d52c47e0824b1887b4cbff83ea2cb8242afd95a4ea76ee36bca0 -size 1719 diff --git a/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000001/ego/annotation/segment/instances.jsonl 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"-hide_banner", - "-loglevel", - "error", - "-y", - "-f", - "rawvideo", - "-pixel_format", - "gray16le", - "-video_size", - "1440x1080", - "-framerate", - "1", - "-i", - "pipe:0", - "-an", - "-c:v", - "ffv1", - "-level", - "3", - "-pix_fmt", - "gray16le", - "outputs/EgoHOS-full/shared-v1.0/data/test_indomain_1440x1080_000001/ego/annotation/segment/mask.ffv1.mkv" - ] - } - ], - "failed_candidates": [], - "pixel_coverage": "ALL frames, count and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000001/ego/metainfo.json b/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000001/ego/metainfo.json deleted file mode 100644 index 23405b82ba0ee0f729feefb534dc362395e0bcba..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000001/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "test_indomain_1440x1080_000001", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "test", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 1440, - 1080 - ] - }, - "components": { - "rgb": { - "available": true, - "schema_id": "rgb/uint8/v1", - "data_ref": "observation/rgb.mkv", - "axes": [ - "T", - "height", - "width", - "RGB" - ], - "valid_ref": "observation/rgb_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "exact source JPEG remux or exact RGB round-trip re-encoding" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", 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- } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 1440, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ 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}, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000001/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000001/ego/observation/rgb.mkv deleted file mode 100644 index 4bf0c5eed7af7f4a0d0be6a7053750fd04b062f5..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000001/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:458926aecd538072b1e4ca4962abd6c3b94fe8e1597566e94014ccd5671259e0 -size 21263558 diff --git a/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000001/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000001/ego/observation/rgb_valid.pt deleted file mode 100644 index 38897b6a890a2cd9be31dd6ca9c6644f597e145b..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000001/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:aa7fff018778d52c47e0824b1887b4cbff83ea2cb8242afd95a4ea76ee36bca0 -size 1719 diff --git a/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000002/ego/annotation/segment/instances.jsonl b/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000002/ego/annotation/segment/instances.jsonl deleted file mode 100644 index 8fd7efc0920f23a9c8249c843e4ed65dac4d5099..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000002/ego/annotation/segment/instances.jsonl +++ /dev/null @@ -1,126 +0,0 @@ -{"frame_index": 0, "labels": [{"mask_value": 9, "category_id": "background", "entity_id": null, "part_id": null, "source_instance_id": null, "source_attributes": {"source_class_id": 0}}, {"mask_value": 1, "category_id": "left_hand", "entity_id": "hand_left", "part_id": null, "source_instance_id": null, "source_attributes": {"source_class_id": 1}}, {"mask_value": 2, "category_id": "right_hand", "entity_id": "hand_right", "part_id": null, "source_instance_id": 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"7927e7d352587091f8ee209ea40e1a2a6cb93dd1f691b09dc830e0682b721911", - "324778103a77e54ff768f5d7c6550a937d3bcc8b339f123bc398ab9d57e11e94", - "c82b9e86d4230cedbb8f20087dae4689bb2b2bd7f39915dc125b0b1152484d35", - "d85acdc50df7200a961c5eeed2d129d5dbcfe5b0d9f11dfa2eb259988a5570d1", - "0f1302b0d192bdf71908587d8488da61bcded702c2ab7aebac23414c744e2ae4", - "0eb32139182a8886fea916f92fc634e267ea03546ef7c4c4da04c0952331e2cd", - "8366cb1c480090f3cac5e2bbfef8d47eef168015b80f56e080712ddb46b3727d", - "e614452c68b4546cea69eaabffe781ad6a81f786c0a603e6c4eae3516c41482b", - "ffa33b2f741b93ae23a348dee1f3df532623d7d4ba5648f7614c68a893508902" - ], - "decode_verify_seconds": 1.1600144300000466, - "command": [ - "ffmpeg", - "-hide_banner", - "-loglevel", - "error", - "-y", - "-f", - "rawvideo", - "-pixel_format", - "gray16le", - "-video_size", - "1440x1080", - "-framerate", - "1", - "-i", - "pipe:0", - "-an", - "-c:v", - "ffv1", - "-level", - "3", - "-pix_fmt", - "gray16le", - "outputs/EgoHOS-full/shared-v1.0/data/test_indomain_1440x1080_000002/ego/annotation/segment/mask.ffv1.mkv" - ] - } - ], - "failed_candidates": [], - "pixel_coverage": "ALL frames, count and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000002/ego/metainfo.json b/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000002/ego/metainfo.json deleted file mode 100644 index 1d136a03a2aeb8b74e90531445058229ffd0c23c..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000002/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "test_indomain_1440x1080_000002", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 126, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "test", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 1440, - 1080 - ] - }, - "components": { - "rgb": { - "available": true, - "schema_id": "rgb/uint8/v1", - "data_ref": "observation/rgb.mkv", - "axes": [ - "T", - "height", - "width", - "RGB" - ], - "valid_ref": "observation/rgb_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "exact source JPEG remux or exact RGB round-trip re-encoding" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - }, - "storage": { - "profile": "mkv/mjpeg_copy/v1", - "codec": "mjpeg", - "pixel_format": "yuvj420p", - "encoded_size": [ - 1440, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": true, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "rgb24", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "copy", - "stream_copy": true, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 1440, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000002/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/test_indomain_1440x1080_000002/ego/observation/rgb.mkv deleted file mode 100644 index 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b/EgoHOS/shared-v1.0/data/test_indomain_1920x1080_000000/ego/metainfo.json deleted file mode 100644 index ccd6eda5dc540eb35844709002546c90161122fa..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_indomain_1920x1080_000000/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "test_indomain_1920x1080_000000", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 96, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "test", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 1920, - 1080 - ] - }, - "components": { - "rgb": { - "available": true, - "schema_id": 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102 - ] - }, - "output": "rgb24", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "copy", - "stream_copy": true, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 1920, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/test_indomain_1920x1080_000000/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/test_indomain_1920x1080_000000/ego/observation/rgb.mkv deleted file mode 100644 index 364821746a2e7c9f2bfd1756763c24313585fd66..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_indomain_1920x1080_000000/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:e4496db6ca10f8e6ad60606eef5edc56a14d0fdaba5b1a03c20aff918e8a3b35 -size 17870974 diff --git a/EgoHOS/shared-v1.0/data/test_indomain_1920x1080_000000/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/test_indomain_1920x1080_000000/ego/observation/rgb_valid.pt deleted file mode 100644 index 4253622293069d597da04cde8a38b57999a0c952..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_indomain_1920x1080_000000/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:35458cfd9f8b4df4bb25cfd7af1defddf9d79955685c9d9a7713d2125ae7ab49 -size 1655 diff --git a/EgoHOS/shared-v1.0/data/test_indomain_1920x1440_000000/ego/annotation/segment/instances.jsonl b/EgoHOS/shared-v1.0/data/test_indomain_1920x1440_000000/ego/annotation/segment/instances.jsonl deleted file mode 100644 index 94ecf926c3bcbfde94fcd799ac34015363e7b2c4..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_indomain_1920x1440_000000/ego/annotation/segment/instances.jsonl +++ /dev/null @@ -1,128 +0,0 @@ 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"-pixel_format", - "gray16le", - "-video_size", - "1920x1440", - "-framerate", - "1", - "-i", - "pipe:0", - "-an", - "-c:v", - "ffv1", - "-level", - "3", - "-pix_fmt", - "gray16le", - "outputs/EgoHOS-full/shared-v1.0/data/test_indomain_1920x1440_000000/ego/annotation/segment/mask.ffv1.mkv" - ] - } - ], - "failed_candidates": [], - "pixel_coverage": "ALL frames, count and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/test_indomain_1920x1440_000000/ego/metainfo.json b/EgoHOS/shared-v1.0/data/test_indomain_1920x1440_000000/ego/metainfo.json deleted file mode 100644 index 1c282e73416b4b668016a515e1c89655e5f39064..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_indomain_1920x1440_000000/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "test_indomain_1920x1440_000000", - "camera_id": 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"segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 1920, - 1440 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - 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"codec": "mjpeg", - "pixel_format": "yuvj420p", - "encoded_size": [ - 456, - 256 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": true, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "rgb24", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "copy", - "stream_copy": true, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 456, - 256 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/test_indomain_456x256_000000/ego/observation/rgb.mkv 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d969f4a16e526bc64b516e2961d6d24847265594..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_indomain_456x256_000001/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "test_indomain_456x256_000001", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 87, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "test", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 456, - 256 - ] - }, - "components": { - "rgb": { - "available": true, - "schema_id": "rgb/uint8/v1", - "data_ref": "observation/rgb.mkv", - "axes": [ - "T", - "height", - "width", - "RGB" - ], - 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metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "copy", - "stream_copy": true, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 456, - 256 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/test_indomain_456x256_000001/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/test_indomain_456x256_000001/ego/observation/rgb.mkv deleted file mode 100644 index 91fb84214ba024ee7267245bd2642fca2d285960..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_indomain_456x256_000001/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:3eae06ac3c67da20fd3494271959736de59cd51ea131ffb1d4fad781bfc7d57c -size 1604557 diff --git a/EgoHOS/shared-v1.0/data/test_indomain_456x256_000001/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/test_indomain_456x256_000001/ego/observation/rgb_valid.pt deleted file mode 100644 index 041215e23fb593e09526a8035cda07d76d18523a..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_indomain_456x256_000001/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:13a0e2522704d43d6cbd1fcb0035e183c9c84e91983f15cbad4d366aaaece164 -size 1655 diff --git a/EgoHOS/shared-v1.0/data/test_indomain_640x480_000000/ego/annotation/segment/instances.jsonl b/EgoHOS/shared-v1.0/data/test_indomain_640x480_000000/ego/annotation/segment/instances.jsonl deleted file mode 100644 index 963aa0fcf163a98b74aaae8516eae167378dffad..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_indomain_640x480_000000/ego/annotation/segment/instances.jsonl +++ /dev/null @@ -1,88 +0,0 @@ -{"frame_index": 0, "labels": [{"mask_value": 9, "category_id": "background", "entity_id": null, "part_id": null, "source_instance_id": null, "source_attributes": {"source_class_id": 0}}, {"mask_value": 1, 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102 - ] - }, - "output": "rgb24", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "copy", - "stream_copy": true, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 640, - 480 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/test_indomain_640x480_000000/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/test_indomain_640x480_000000/ego/observation/rgb.mkv deleted file mode 100644 index 93e2821ca4264ac0fa0f7bcb7805412840c26f7d..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_indomain_640x480_000000/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:ed691b349f420fb1bab6d19bcb04ff31e86cc8f37b4cd2e49b1aeb8090097f4b -size 3724521 diff --git a/EgoHOS/shared-v1.0/data/test_indomain_640x480_000000/ego/observation/rgb_valid.pt 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frames, count and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/test_outdomain_1920x1080_000000/ego/metainfo.json b/EgoHOS/shared-v1.0/data/test_outdomain_1920x1080_000000/ego/metainfo.json deleted file mode 100644 index d89a008d3e9a37c1379b16c85aa20ed55b93eac7..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_outdomain_1920x1080_000000/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "test_outdomain_1920x1080_000000", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "test", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV 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a/EgoHOS/shared-v1.0/data/test_outdomain_1920x1080_000001/ego/metainfo.json b/EgoHOS/shared-v1.0/data/test_outdomain_1920x1080_000001/ego/metainfo.json deleted file mode 100644 index 4ea9f3a4f805da81cb3af21843b95e3176ee7db7..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_outdomain_1920x1080_000001/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "test_outdomain_1920x1080_000001", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "test", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 1920, - 1080 - ] - }, - "components": { - "rgb": { - "available": true, - "schema_id": "rgb/uint8/v1", - "data_ref": "observation/rgb.mkv", - "axes": [ - "T", - "height", - "width", - "RGB" - ], - "valid_ref": "observation/rgb_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "exact source JPEG remux or exact RGB round-trip re-encoding" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - }, - "storage": { - "profile": "mkv/mjpeg_copy/v1", - "codec": "mjpeg", - "pixel_format": "yuvj420p", - "encoded_size": [ - 1920, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": true, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "rgb24", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "copy", - "stream_copy": true, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 1920, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/test_outdomain_1920x1080_000001/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/test_outdomain_1920x1080_000001/ego/observation/rgb.mkv deleted file mode 100644 index 8fb228c9b56360b6b07f6cc228b154c9f0511750..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_outdomain_1920x1080_000001/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:2bbee92f02c83ff2a172d2a496640c46a662c0850a847308d410ffb203e4621d -size 21284438 diff --git a/EgoHOS/shared-v1.0/data/test_outdomain_1920x1080_000001/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/test_outdomain_1920x1080_000001/ego/observation/rgb_valid.pt deleted file mode 100644 index 38897b6a890a2cd9be31dd6ca9c6644f597e145b..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_outdomain_1920x1080_000001/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:aa7fff018778d52c47e0824b1887b4cbff83ea2cb8242afd95a4ea76ee36bca0 -size 1719 diff --git a/EgoHOS/shared-v1.0/data/test_outdomain_1920x1080_000002/ego/annotation/segment/instances.jsonl b/EgoHOS/shared-v1.0/data/test_outdomain_1920x1080_000002/ego/annotation/segment/instances.jsonl deleted file mode 100644 index 94ecf926c3bcbfde94fcd799ac34015363e7b2c4..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_outdomain_1920x1080_000002/ego/annotation/segment/instances.jsonl +++ /dev/null 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frames, count and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/test_outdomain_1920x1080_000002/ego/metainfo.json b/EgoHOS/shared-v1.0/data/test_outdomain_1920x1080_000002/ego/metainfo.json deleted file mode 100644 index a335e3bb4dd6768ca0d35c1a5dcb8f45ac309d1e..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/test_outdomain_1920x1080_000002/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "test_outdomain_1920x1080_000002", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "test", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 1920, - 1080 - ] - }, - "components": { - "rgb": { - "available": true, - "schema_id": "rgb/uint8/v1", - "data_ref": "observation/rgb.mkv", - "axes": [ - "T", - "height", - "width", - "RGB" - ], - "valid_ref": "observation/rgb_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "exact source JPEG remux or exact RGB round-trip re-encoding" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - }, - "storage": { - "profile": "mkv/mjpeg_copy/v1", - "codec": "mjpeg", - "pixel_format": "yuvj420p", - "encoded_size": [ - 1920, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": true, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "rgb24", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "copy", - "stream_copy": true, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 1920, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - 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metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "copy", - "stream_copy": true, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 1920, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - 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"reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000000/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_1440x1080_000000/ego/observation/rgb.mkv deleted file mode 100644 index af5589f62778bd9cc2e458c0890772ab2f5e77a7..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000000/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:5d758e3ce5ad89688b15a5597a88eaf256cb1fe9d883b19c289d3b82bae4f3e1 -size 24887072 diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000000/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/train_1440x1080_000000/ego/observation/rgb_valid.pt deleted file mode 100644 index 38897b6a890a2cd9be31dd6ca9c6644f597e145b..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000000/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid 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interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000001/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_1440x1080_000001/ego/observation/rgb.mkv deleted file mode 100644 index aaeb6d61893c10c4c18fe507d8c6d7bbb6bcd6a2..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000001/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:2ac46017ad1dd77e3eb05ad7e83ba59c77c4a9e70746df36598f60c7dfe14346 -size 20295596 diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000001/ego/observation/rgb_valid.pt 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"valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": 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"reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000003/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_1440x1080_000003/ego/observation/rgb.mkv deleted file mode 100644 index 47117fed4b854d310e6372084522b97588bf408f..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000003/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:d14f5f1f07ddfc843e3ba04e52ff5227902e57c2edb74e7db194eef024cdfe8a -size 28723784 diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000003/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/train_1440x1080_000003/ego/observation/rgb_valid.pt deleted file mode 100644 index 38897b6a890a2cd9be31dd6ca9c6644f597e145b..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000003/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid 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a/EgoHOS/shared-v1.0/data/train_1440x1080_000004/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_1440x1080_000004", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 1440, - 1080 - ] - }, - "components": { - "rgb": { - "available": true, - "schema_id": "rgb/uint8/v1", - "data_ref": "observation/rgb.mkv", - "axes": [ - "T", - "height", - "width", - "RGB" - ], - "valid_ref": "observation/rgb_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": 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"encoder_parameters": { - "name": "copy", - "stream_copy": true, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 1440, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 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categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000004/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_1440x1080_000004/ego/observation/rgb.mkv deleted file mode 100644 index 0353d220e5170b08635b3159187ff3c6332069d4..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000004/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:764ce715411bfa0831bbe694e50ecc4a6e2caf90ee75abfa30d13ac1503bfe14 -size 22140413 diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000004/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/train_1440x1080_000004/ego/observation/rgb_valid.pt deleted file mode 100644 index 38897b6a890a2cd9be31dd6ca9c6644f597e145b..0000000000000000000000000000000000000000 --- 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a/EgoHOS/shared-v1.0/data/train_1440x1080_000005/ego/metainfo.json b/EgoHOS/shared-v1.0/data/train_1440x1080_000005/ego/metainfo.json deleted file mode 100644 index 854716df8de0ffbbc6ef03d3a0a40c0ce656607e..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000005/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_1440x1080_000005", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 1440, - 1080 - ] - }, - "components": { - "rgb": 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- ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "rgb24", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "copy", - "stream_copy": true, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - 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"coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - 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"rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000006/ego/observation/rgb.mkv 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"decode_verify_seconds": 1.1604298660004133, - "command": [ - "ffmpeg", - "-hide_banner", - "-loglevel", - "error", - "-y", - "-f", - "rawvideo", - "-pixel_format", - "gray16le", - "-video_size", - "1440x1080", - "-framerate", - "1", - "-i", - "pipe:0", - "-an", - "-c:v", - "ffv1", - "-level", - "3", - "-pix_fmt", - "gray16le", - "outputs/EgoHOS-full/shared-v1.0/data/train_1440x1080_000007/ego/annotation/segment/mask.ffv1.mkv" - ] - } - ], - "failed_candidates": [], - "pixel_coverage": "ALL frames, count and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000007/ego/metainfo.json b/EgoHOS/shared-v1.0/data/train_1440x1080_000007/ego/metainfo.json deleted file mode 100644 index 06374480ab803ad072aafc549c18c116b1d34b4c..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000007/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_1440x1080_000007", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 1440, - 1080 - ] - }, - "components": { - "rgb": { - "available": true, - "schema_id": "rgb/uint8/v1", - "data_ref": "observation/rgb.mkv", - "axes": [ - "T", - "height", - "width", - "RGB" - ], - "valid_ref": "observation/rgb_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "exact source JPEG remux or exact RGB round-trip re-encoding" - }, - "source_locator": { - "file": 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FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 1440, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - 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sha256:aa7fff018778d52c47e0824b1887b4cbff83ea2cb8242afd95a4ea76ee36bca0 -size 1719 diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000008/ego/annotation/segment/instances.jsonl b/EgoHOS/shared-v1.0/data/train_1440x1080_000008/ego/annotation/segment/instances.jsonl deleted file mode 100644 index 94ecf926c3bcbfde94fcd799ac34015363e7b2c4..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000008/ego/annotation/segment/instances.jsonl +++ /dev/null @@ -1,128 +0,0 @@ -{"frame_index": 0, "labels": [{"mask_value": 9, "category_id": "background", "entity_id": null, "part_id": null, "source_instance_id": null, "source_attributes": {"source_class_id": 0}}, {"mask_value": 1, "category_id": "left_hand", "entity_id": "hand_left", "part_id": null, "source_instance_id": null, "source_attributes": {"source_class_id": 1}}, {"mask_value": 2, "category_id": "right_hand", "entity_id": "hand_right", "part_id": null, "source_instance_id": null, "source_attributes": 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"decode_verify_seconds": 1.1349012419996143, - "command": [ - "ffmpeg", - "-hide_banner", - "-loglevel", - "error", - "-y", - "-f", - "rawvideo", - "-pixel_format", - "gray16le", - "-video_size", - "1440x1080", - "-framerate", - "1", - "-i", - "pipe:0", - "-an", - "-c:v", - "ffv1", - "-level", - "3", - "-pix_fmt", - "gray16le", - "outputs/EgoHOS-full/shared-v1.0/data/train_1440x1080_000008/ego/annotation/segment/mask.ffv1.mkv" - ] - } - ], - "failed_candidates": [], - "pixel_coverage": "ALL frames, count and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000008/ego/metainfo.json b/EgoHOS/shared-v1.0/data/train_1440x1080_000008/ego/metainfo.json deleted file mode 100644 index 72a3b376f8a093d968665a2667ce33e6f15b6798..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000008/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - 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FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 1440, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000008/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_1440x1080_000008/ego/observation/rgb.mkv deleted file mode 100644 index 1bf5056e936aa09625347bacc3ac35beb0e7c72c..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000008/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:977829739820d54b3cb124a2cb2d25674ba197f12791712664219a7602552582 -size 21387314 diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000008/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/train_1440x1080_000008/ego/observation/rgb_valid.pt deleted file mode 100644 index 38897b6a890a2cd9be31dd6ca9c6644f597e145b..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000008/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:aa7fff018778d52c47e0824b1887b4cbff83ea2cb8242afd95a4ea76ee36bca0 -size 1719 diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000009/ego/annotation/segment/instances.jsonl b/EgoHOS/shared-v1.0/data/train_1440x1080_000009/ego/annotation/segment/instances.jsonl deleted file mode 100644 index 94ecf926c3bcbfde94fcd799ac34015363e7b2c4..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000009/ego/annotation/segment/instances.jsonl +++ /dev/null @@ -1,128 +0,0 @@ -{"frame_index": 0, "labels": [{"mask_value": 9, "category_id": "background", "entity_id": null, "part_id": null, "source_instance_id": null, "source_attributes": {"source_class_id": 0}}, {"mask_value": 1, "category_id": "left_hand", "entity_id": "hand_left", "part_id": null, "source_instance_id": null, "source_attributes": {"source_class_id": 1}}, {"mask_value": 2, "category_id": "right_hand", "entity_id": "hand_right", "part_id": null, "source_instance_id": null, "source_attributes": 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a/EgoHOS/shared-v1.0/data/train_1440x1080_000009/ego/metainfo.json b/EgoHOS/shared-v1.0/data/train_1440x1080_000009/ego/metainfo.json deleted file mode 100644 index 80f7f462d650477d51b9d5b5b1b749911b721f3d..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000009/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_1440x1080_000009", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 1440, - 1080 - ] - }, - "components": { - "rgb": 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- ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "rgb24", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "copy", - "stream_copy": true, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 1440, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - 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a/EgoHOS/shared-v1.0/data/train_1440x1080_000009/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/train_1440x1080_000009/ego/observation/rgb_valid.pt deleted file mode 100644 index 38897b6a890a2cd9be31dd6ca9c6644f597e145b..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000009/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:aa7fff018778d52c47e0824b1887b4cbff83ea2cb8242afd95a4ea76ee36bca0 -size 1719 diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000010/ego/annotation/segment/instances.jsonl b/EgoHOS/shared-v1.0/data/train_1440x1080_000010/ego/annotation/segment/instances.jsonl deleted file mode 100644 index 94ecf926c3bcbfde94fcd799ac34015363e7b2c4..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000010/ego/annotation/segment/instances.jsonl +++ /dev/null @@ -1,128 +0,0 @@ -{"frame_index": 0, "labels": [{"mask_value": 9, 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"coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - 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a/EgoHOS/shared-v1.0/data/train_1440x1080_000012/ego/metainfo.json b/EgoHOS/shared-v1.0/data/train_1440x1080_000012/ego/metainfo.json deleted file mode 100644 index 179827b20ddd6241089765437e227a69637e2e92..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000012/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_1440x1080_000012", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 1440, - 1080 - ] - }, - "components": { - "rgb": 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"coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000012/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_1440x1080_000012/ego/observation/rgb.mkv deleted file mode 100644 index 1b7a20ba49dd303906f946b478e3b7ccb47ad410..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000012/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:004cb606daaaf61a93ec00986822fc2e8e09e2f956bcca60cf54ffc61b2303f2 -size 19466505 diff --git 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} - ], - "failed_candidates": [], - "pixel_coverage": "ALL frames, count and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000013/ego/metainfo.json b/EgoHOS/shared-v1.0/data/train_1440x1080_000013/ego/metainfo.json deleted file mode 100644 index 68520a184de2adb101f649e67f47c8a47ec7cfae..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000013/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_1440x1080_000013", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred 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a/EgoHOS/shared-v1.0/data/train_1440x1080_000014/ego/metainfo.json b/EgoHOS/shared-v1.0/data/train_1440x1080_000014/ego/metainfo.json deleted file mode 100644 index faf5076511e25058b4aff95ede2c893ec081989f..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000014/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_1440x1080_000014", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 1440, - 1080 - ] - }, - "components": { - "rgb": 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"decode_verify_seconds": 1.1444291649995648, - "command": [ - "ffmpeg", - "-hide_banner", - "-loglevel", - "error", - "-y", - "-f", - "rawvideo", - "-pixel_format", - "gray16le", - "-video_size", - "1440x1080", - "-framerate", - "1", - "-i", - "pipe:0", - "-an", - "-c:v", - "ffv1", - "-level", - "3", - "-pix_fmt", - "gray16le", - "outputs/EgoHOS-full/shared-v1.0/data/train_1440x1080_000015/ego/annotation/segment/mask.ffv1.mkv" - ] - } - ], - "failed_candidates": [], - "pixel_coverage": "ALL frames, count and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000015/ego/metainfo.json b/EgoHOS/shared-v1.0/data/train_1440x1080_000015/ego/metainfo.json deleted file mode 100644 index 6d31dc2667720114ffac4ddbea671dfe6b330192..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000015/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - 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"libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000015/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_1440x1080_000015/ego/observation/rgb.mkv deleted file mode 100644 index 8a0298b02a40b48daaee23189e7a3605bcd810d7..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000015/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:6d8d3894a74729a6b56b74e6771c18f3aee75852cf1f11da086a05e0491b375f -size 21548414 diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000015/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/train_1440x1080_000015/ego/observation/rgb_valid.pt deleted file mode 100644 index 38897b6a890a2cd9be31dd6ca9c6644f597e145b..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000015/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid 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"outputs/EgoHOS-full/shared-v1.0/data/train_1440x1080_000016/ego/annotation/segment/mask.ffv1.mkv" - ] - } - ], - "failed_candidates": [], - "pixel_coverage": "ALL frames, count and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000016/ego/metainfo.json b/EgoHOS/shared-v1.0/data/train_1440x1080_000016/ego/metainfo.json deleted file mode 100644 index a16e1e9c7abb23a4c9b0c31743dad6f7fe9ce850..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000016/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_1440x1080_000016", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": 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FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 1440, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - 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a/EgoHOS/shared-v1.0/data/train_1440x1080_000018/ego/metainfo.json b/EgoHOS/shared-v1.0/data/train_1440x1080_000018/ego/metainfo.json deleted file mode 100644 index 00e53c4f711e81e53a5dca280891881f1cb89266..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000018/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_1440x1080_000018", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 1440, - 1080 - ] - }, - "components": { - "rgb": 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"pixel_format": "gray16le", - "encoded_size": [ - 1440, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - 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interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - 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{ - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000020/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_1440x1080_000020/ego/observation/rgb.mkv deleted file mode 100644 index fd8f1549dcef314605b9fb3611a8bd789e6af74a..0000000000000000000000000000000000000000 --- 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FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 1440, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - 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"reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000021/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_1440x1080_000021/ego/observation/rgb.mkv deleted file mode 100644 index 19937971c2683c6bf0e8e879ede0c344a76e3980..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000021/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:433b96715b97694b2b8fdd518c8fb3f287b8db655249d58dafd9e7b6613321ba -size 22614002 diff --git a/EgoHOS/shared-v1.0/data/train_1440x1080_000021/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/train_1440x1080_000021/ego/observation/rgb_valid.pt deleted file mode 100644 index 38897b6a890a2cd9be31dd6ca9c6644f597e145b..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1440x1080_000021/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid 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"pixel_format": "gray16le", - "encoded_size": [ - 1440, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - 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"output": "rgb24", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "copy", - "stream_copy": true, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 1920, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - 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"outputs/EgoHOS-full/shared-v1.0/data/train_1920x1080_000001/ego/annotation/segment/mask.ffv1.mkv" - ] - } - ], - "failed_candidates": [], - "pixel_coverage": "ALL frames, count and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1920x1080_000001/ego/metainfo.json b/EgoHOS/shared-v1.0/data/train_1920x1080_000001/ego/metainfo.json deleted file mode 100644 index 7ebfc43a11f5d296d7dabd7024221795b3ab317c..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1920x1080_000001/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_1920x1080_000001", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": 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"ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1920x1080_000001/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_1920x1080_000001/ego/observation/rgb.mkv deleted file mode 100644 index a9f2ec664f0c2c35472df7a41970da166e420fb8..0000000000000000000000000000000000000000 --- 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"decode_verify_seconds": 1.5470359310002095, - "command": [ - "ffmpeg", - "-hide_banner", - "-loglevel", - "error", - "-y", - "-f", - "rawvideo", - "-pixel_format", - "gray16le", - "-video_size", - "1920x1080", - "-framerate", - "1", - "-i", - "pipe:0", - "-an", - "-c:v", - "ffv1", - "-level", - "3", - "-pix_fmt", - "gray16le", - "outputs/EgoHOS-full/shared-v1.0/data/train_1920x1080_000002/ego/annotation/segment/mask.ffv1.mkv" - ] - } - ], - "failed_candidates": [], - "pixel_coverage": "ALL frames, count and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1920x1080_000002/ego/metainfo.json b/EgoHOS/shared-v1.0/data/train_1920x1080_000002/ego/metainfo.json deleted file mode 100644 index 586fbfc13bdb0b6cfd1c661a93edc6ed43c14459..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1920x1080_000002/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_1920x1080_000002", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 1920, - 1080 - ] - }, - "components": { - "rgb": { - "available": true, - "schema_id": "rgb/uint8/v1", - "data_ref": "observation/rgb.mkv", - "axes": [ - "T", - "height", - "width", - "RGB" - ], - "valid_ref": "observation/rgb_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "exact source JPEG remux or exact RGB round-trip re-encoding" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - }, - "storage": { - "profile": "mkv/mjpeg_copy/v1", - "codec": "mjpeg", - "pixel_format": "yuvj420p", - "encoded_size": [ - 1920, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": true, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "rgb24", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "copy", - "stream_copy": true, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 1920, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1920x1080_000002/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_1920x1080_000002/ego/observation/rgb.mkv deleted file mode 100644 index 29e6e700acaad80bb1c780445e051d80bdd16cf5..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1920x1080_000002/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:fc4ca30fa0b4ba12abed0e0d9f0a07f6c12dd0f181b9e872f16aab373801dc8d -size 29490459 diff --git a/EgoHOS/shared-v1.0/data/train_1920x1080_000002/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/train_1920x1080_000002/ego/observation/rgb_valid.pt deleted file mode 100644 index 38897b6a890a2cd9be31dd6ca9c6644f597e145b..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1920x1080_000002/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:aa7fff018778d52c47e0824b1887b4cbff83ea2cb8242afd95a4ea76ee36bca0 -size 1719 diff --git a/EgoHOS/shared-v1.0/data/train_1920x1080_000003/ego/annotation/segment/instances.jsonl b/EgoHOS/shared-v1.0/data/train_1920x1080_000003/ego/annotation/segment/instances.jsonl deleted file mode 100644 index 94ecf926c3bcbfde94fcd799ac34015363e7b2c4..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1920x1080_000003/ego/annotation/segment/instances.jsonl +++ /dev/null @@ -1,128 +0,0 @@ -{"frame_index": 0, "labels": [{"mask_value": 9, "category_id": "background", "entity_id": null, "part_id": null, "source_instance_id": null, "source_attributes": {"source_class_id": 0}}, {"mask_value": 1, "category_id": "left_hand", "entity_id": "hand_left", "part_id": null, "source_instance_id": null, "source_attributes": {"source_class_id": 1}}, {"mask_value": 2, "category_id": "right_hand", "entity_id": "hand_right", "part_id": null, "source_instance_id": null, "source_attributes": 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"encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1920x1080_000003/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_1920x1080_000003/ego/observation/rgb.mkv deleted file mode 100644 index 50b601643a8773e5c81e134bd01cf7751c464159..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1920x1080_000003/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:249b52e283535d685cbf5db1006b048aad19e14eef23bc0ba6f86e62af471bb8 -size 27443974 diff --git a/EgoHOS/shared-v1.0/data/train_1920x1080_000003/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/train_1920x1080_000003/ego/observation/rgb_valid.pt deleted file mode 100644 index 38897b6a890a2cd9be31dd6ca9c6644f597e145b..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1920x1080_000003/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:aa7fff018778d52c47e0824b1887b4cbff83ea2cb8242afd95a4ea76ee36bca0 -size 1719 diff --git a/EgoHOS/shared-v1.0/data/train_1920x1080_000004/ego/annotation/segment/instances.jsonl 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a/EgoHOS/shared-v1.0/data/train_1920x1080_000004/ego/metainfo.json b/EgoHOS/shared-v1.0/data/train_1920x1080_000004/ego/metainfo.json deleted file mode 100644 index b6d63a10a8bea22a6889479f2212fec0688ebd92..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1920x1080_000004/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_1920x1080_000004", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 1920, - 1080 - ] - }, - "components": { - "rgb": 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- ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "rgb24", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "copy", - "stream_copy": true, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 1920, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1920x1080_000004/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_1920x1080_000004/ego/observation/rgb.mkv deleted file mode 100644 index f55de19fd50780d3657368105d1cbabf95e1a382..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1920x1080_000004/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:e23e519b47f69b41df47cefb09f6ea6cd0205a5a87ccb61d223eafdebf9891cd -size 18872235 diff --git 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"encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1920x1080_000005/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_1920x1080_000005/ego/observation/rgb.mkv deleted file mode 100644 index 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"failed_candidates": [], - "pixel_coverage": "ALL frames, count and order", - "random_access": "sequential decode from beginning" - }, - "segment": { - "selected": "ffv1", - "candidates": [ - { - "encoder": "ffv1", - "bytes": 3794157, - "encode_seconds": 1.9773373830003038, - "frames": 128, - "all_decoded_frames_exact": true, - "ordered_decoded_sha256": [ - "a80f1314694b4ce7c73b499baaa69da449a4ce8f6aadd8a40d5300ee251c5c27", - "caadce53a395130a2ef28af2969acd18163514400dc94eece984e090dad41865", - "148bc5611c0d96b0b261dfebd2e7777d83ae7589e1bb3417a3f4e732d67eaff9", - "63499336c1108e12582828dd55af5045b70855588ca4f8586e633255693b9e47", - "cbb21600dad5f50de09a7e5a67aa13ddcaf13cc269637de00ae9277404fd4f1e", - "b05963fe30b9d4bf812e4beef05989594917c8d27a88e6fdb2e1631fc061e406", - "17ec44a767960e0d19ac9d733c5016547c809ba6713a7149c8bda56ed6a1b851", - "3e04cae2db957beda69aff4c95d27a6734079d30e86aae5b708d1ff413dbe30c", - "6c6dd4d31f49cc34a706ed3ac5421ea37baa25d3d2ef00735d0899c5e7ecf8d5", - 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calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1920x1440_000000/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_1920x1440_000000/ego/observation/rgb.mkv deleted file mode 100644 index 837e31c189eab4202632218612e4d31d9a720a2f..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1920x1440_000000/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:374b18241dd6cc38c900761f70916bddfcbf7efe849baab8fcf7ca8c3c7cd8b1 -size 40908077 diff --git a/EgoHOS/shared-v1.0/data/train_1920x1440_000000/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/train_1920x1440_000000/ego/observation/rgb_valid.pt deleted file mode 100644 index 38897b6a890a2cd9be31dd6ca9c6644f597e145b..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1920x1440_000000/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:aa7fff018778d52c47e0824b1887b4cbff83ea2cb8242afd95a4ea76ee36bca0 -size 1719 diff --git a/EgoHOS/shared-v1.0/data/train_1920x1440_000001/ego/annotation/segment/instances.jsonl b/EgoHOS/shared-v1.0/data/train_1920x1440_000001/ego/annotation/segment/instances.jsonl deleted file mode 100644 index 94ecf926c3bcbfde94fcd799ac34015363e7b2c4..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1920x1440_000001/ego/annotation/segment/instances.jsonl +++ /dev/null @@ -1,128 +0,0 @@ -{"frame_index": 0, "labels": 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"encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1920x1440_000001/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_1920x1440_000001/ego/observation/rgb.mkv deleted file mode 100644 index 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profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1920x1440_000002/ego/observation/rgb.mkv 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"coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - 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"reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1920x1440_000005/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_1920x1440_000005/ego/observation/rgb.mkv deleted file mode 100644 index 3234eecf18a2f95fabb3be921af8ebfb95bc8951..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1920x1440_000005/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:348831a80fdf1f1269bc4ca6b43514246b9de0a6f72e5ea458b16d2d35b0c9f5 -size 33897733 diff --git a/EgoHOS/shared-v1.0/data/train_1920x1440_000005/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/train_1920x1440_000005/ego/observation/rgb_valid.pt deleted file mode 100644 index 38897b6a890a2cd9be31dd6ca9c6644f597e145b..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1920x1440_000005/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid 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], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - 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"coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - 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"reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1920x1440_000008/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_1920x1440_000008/ego/observation/rgb.mkv deleted file mode 100644 index e61c4c3287f58f87b097d20bfb13bac1cf4a94c2..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1920x1440_000008/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:4e11ca666b4cdccaa3c1853f27dedfd892296e282bbb50e7dcc0e550cba91aac -size 40802512 diff --git a/EgoHOS/shared-v1.0/data/train_1920x1440_000008/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/train_1920x1440_000008/ego/observation/rgb_valid.pt deleted file mode 100644 index 38897b6a890a2cd9be31dd6ca9c6644f597e145b..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1920x1440_000008/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid 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inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1920x1440_000010/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_1920x1440_000010/ego/observation/rgb.mkv deleted file mode 100644 index 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interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - 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"3", - "-pix_fmt", - "gray16le", - "outputs/EgoHOS-full/shared-v1.0/data/train_1920x1440_000012/ego/annotation/segment/mask.ffv1.mkv" - ] - } - ], - "failed_candidates": [], - "pixel_coverage": "ALL frames, count and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1920x1440_000012/ego/metainfo.json b/EgoHOS/shared-v1.0/data/train_1920x1440_000012/ego/metainfo.json deleted file mode 100644 index f4e13734a030fc38e2ac219194601d22f7d31a3d..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1920x1440_000012/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_1920x1440_000012", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - 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- "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 1920, - 1440 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_1920x1440_000012/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_1920x1440_000012/ego/observation/rgb.mkv deleted file mode 100644 index 5cdfc939856df0a0a6c8ec1da1cc231422b4545c..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1920x1440_000012/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:4086e672c182c0c2dc579032a8d799a9271a430c2b19fca84d374be823cabd6d -size 39268958 diff --git a/EgoHOS/shared-v1.0/data/train_1920x1440_000012/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/train_1920x1440_000012/ego/observation/rgb_valid.pt deleted file mode 100644 index 38897b6a890a2cd9be31dd6ca9c6644f597e145b..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_1920x1440_000012/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:aa7fff018778d52c47e0824b1887b4cbff83ea2cb8242afd95a4ea76ee36bca0 -size 1719 diff --git a/EgoHOS/shared-v1.0/data/train_1920x1440_000013/ego/annotation/segment/instances.jsonl 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a/EgoHOS/shared-v1.0/data/train_1920x1440_000013/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_1920x1440_000013", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 1920, - 1440 - ] - }, - "components": { - "rgb": { - "available": true, - "schema_id": "rgb/uint8/v1", - "data_ref": "observation/rgb.mkv", - "axes": [ - "T", - "height", - "width", - "RGB" - ], - "valid_ref": "observation/rgb_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": 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categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - 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identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "copy", - "stream_copy": true, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 1920, - 1440 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": 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"valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": 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"outputs/EgoHOS-full/shared-v1.0/data/train_2560x1920_000000/ego/annotation/segment/mask.ffv1.mkv" - ] - } - ], - "failed_candidates": [], - "pixel_coverage": "ALL frames, count and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_2560x1920_000000/ego/metainfo.json b/EgoHOS/shared-v1.0/data/train_2560x1920_000000/ego/metainfo.json deleted file mode 100644 index 416d531e92fdfacbc56bfbeee4095037e050fd4c..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_2560x1920_000000/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_2560x1920_000000", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": 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"version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "rgb24", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "copy", - "stream_copy": true, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 2560, - 1920 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_2560x1920_000000/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_2560x1920_000000/ego/observation/rgb.mkv deleted file mode 100644 index 445c46a25e2bd884faf90d64d215cdb5f8a8b3ec..0000000000000000000000000000000000000000 --- 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aeb3022eeb9bd032051796fb0f7d78d3e503a17b..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_2560x1920_000002/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_2560x1920_000002", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 2560, - 1920 - ] - }, - "components": { - "rgb": { - "available": true, - "schema_id": "rgb/uint8/v1", - "data_ref": "observation/rgb.mkv", - "axes": [ - "T", - "height", - "width", - "RGB" - ], - "valid_ref": 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identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "copy", - "stream_copy": true, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 2560, - 1920 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": 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"valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": 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a/EgoHOS/shared-v1.0/data/train_2560x1920_000003/ego/metainfo.json b/EgoHOS/shared-v1.0/data/train_2560x1920_000003/ego/metainfo.json deleted file mode 100644 index 1e1feccd48fcd19d6d75fe7cd433037b40464741..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_2560x1920_000003/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_2560x1920_000003", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 2560, - 1920 - ] - }, - "components": { - "rgb": 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"pixel_format": "gray16le", - "encoded_size": [ - 2560, - 1920 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - 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a/EgoHOS/shared-v1.0/data/train_2560x1920_000003/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/train_2560x1920_000003/ego/observation/rgb_valid.pt deleted file mode 100644 index 38897b6a890a2cd9be31dd6ca9c6644f597e145b..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_2560x1920_000003/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:aa7fff018778d52c47e0824b1887b4cbff83ea2cb8242afd95a4ea76ee36bca0 -size 1719 diff --git a/EgoHOS/shared-v1.0/data/train_2560x1920_000004/ego/annotation/segment/instances.jsonl b/EgoHOS/shared-v1.0/data/train_2560x1920_000004/ego/annotation/segment/instances.jsonl deleted file mode 100644 index 94ecf926c3bcbfde94fcd799ac34015363e7b2c4..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_2560x1920_000004/ego/annotation/segment/instances.jsonl +++ /dev/null @@ -1,128 +0,0 @@ -{"frame_index": 0, "labels": [{"mask_value": 9, 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{ - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_2560x1920_000004/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_2560x1920_000004/ego/observation/rgb.mkv deleted file mode 100644 index 63ae9d10961fe24f77bacfbee01600e808f11961..0000000000000000000000000000000000000000 --- 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a/EgoHOS/shared-v1.0/data/train_2560x1920_000005/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_2560x1920_000005/ego/observation/rgb.mkv deleted file mode 100644 index 3fcec5f0921ab9c9a9528a7aa96fa01a349b4295..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_2560x1920_000005/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:4c515707f50320d9c66c7f1cbaa3ec3d40836747b7b5a3a1c7bb05f3e6c21154 -size 54126490 diff --git a/EgoHOS/shared-v1.0/data/train_2560x1920_000005/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/train_2560x1920_000005/ego/observation/rgb_valid.pt deleted file mode 100644 index 0f8f9d4c30a7f43cb06135366e9175c52f6d64db..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_2560x1920_000005/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid 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"encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_3840x2160_000000/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_3840x2160_000000/ego/observation/rgb.mkv deleted file mode 100644 index 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} - ], - "failed_candidates": [], - "pixel_coverage": "ALL frames, count and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_3840x2160_000001/ego/metainfo.json b/EgoHOS/shared-v1.0/data/train_3840x2160_000001/ego/metainfo.json deleted file mode 100644 index 942c20d98c3c1adf3ac4098a87d3b25edadfdd9d..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_3840x2160_000001/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_3840x2160_000001", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 35, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred 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object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, 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source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_456x256_000002/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_456x256_000002/ego/observation/rgb.mkv deleted file mode 100644 index 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- ], - "failed_candidates": [], - "pixel_coverage": "ALL frames, count and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_456x256_000003/ego/metainfo.json b/EgoHOS/shared-v1.0/data/train_456x256_000003/ego/metainfo.json deleted file mode 100644 index f34254ebacdac9580795b4b049eb52e2495fc6d1..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_456x256_000003/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_456x256_000003", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from 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developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_456x256_000003/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_456x256_000003/ego/observation/rgb.mkv deleted file mode 100644 index ed6ae6a27255c8606c818236e17a67b893fdd20b..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_456x256_000003/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid 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a/EgoHOS/shared-v1.0/data/train_456x256_000004/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_456x256_000004", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 456, - 256 - ] - }, - "components": { - "rgb": { - "available": true, - "schema_id": "rgb/uint8/v1", - "data_ref": "observation/rgb.mkv", - "axes": [ - "T", - "height", - "width", - "RGB" - ], - "valid_ref": "observation/rgb_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": 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categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_456x256_000004/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_456x256_000004/ego/observation/rgb.mkv deleted file mode 100644 index 2414090f764b3b38e0ca93faa82588144adb143d..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_456x256_000004/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:bdfee58d5fc6e41895fd42865325dfef1d62450530f9545dee6d515cf1895bc7 -size 2389136 diff --git a/EgoHOS/shared-v1.0/data/train_456x256_000004/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/train_456x256_000004/ego/observation/rgb_valid.pt deleted file mode 100644 index 38897b6a890a2cd9be31dd6ca9c6644f597e145b..0000000000000000000000000000000000000000 --- 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"gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 456, - 256 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - 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image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_456x256_000005/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_456x256_000005/ego/observation/rgb.mkv deleted file mode 100644 index 908b73c1b52298849a5d5791c012c7c499ff99a7..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_456x256_000005/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:1f1bdd78ac3ec2c0a0ff1c3799a3388c22abd9dd417a55881bde1ce886d2516d -size 2213795 diff --git a/EgoHOS/shared-v1.0/data/train_456x256_000005/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/train_456x256_000005/ego/observation/rgb_valid.pt deleted file mode 100644 index 38897b6a890a2cd9be31dd6ca9c6644f597e145b..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_456x256_000005/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid 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a/EgoHOS/shared-v1.0/data/train_456x256_000007/ego/metainfo.json b/EgoHOS/shared-v1.0/data/train_456x256_000007/ego/metainfo.json deleted file mode 100644 index 5a6bd158f8a4746ecbfa27c0b633f0f88a82c0db..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_456x256_000007/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_456x256_000007", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 456, - 256 - ] - }, - "components": { - "rgb": { - 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"libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "rgb24", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "copy", - "stream_copy": true, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 456, - 256 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_456x256_000007/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_456x256_000007/ego/observation/rgb.mkv deleted file mode 100644 index f23f246fed09638c41c0ccd28ce0e6f546118269..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_456x256_000007/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:1f868ccad7ec38695bd8c0924fef8481c7cba361d81a81f6ca6a2d6539e2db94 -size 2256925 diff --git a/EgoHOS/shared-v1.0/data/train_456x256_000007/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/train_456x256_000007/ego/observation/rgb_valid.pt deleted file mode 100644 index 38897b6a890a2cd9be31dd6ca9c6644f597e145b..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_456x256_000007/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:aa7fff018778d52c47e0824b1887b4cbff83ea2cb8242afd95a4ea76ee36bca0 -size 1719 diff --git a/EgoHOS/shared-v1.0/data/train_456x256_000008/ego/annotation/segment/instances.jsonl b/EgoHOS/shared-v1.0/data/train_456x256_000008/ego/annotation/segment/instances.jsonl deleted file mode 100644 index 94ecf926c3bcbfde94fcd799ac34015363e7b2c4..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_456x256_000008/ego/annotation/segment/instances.jsonl +++ /dev/null @@ -1,128 +0,0 @@ -{"frame_index": 0, "labels": [{"mask_value": 9, "category_id": 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categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - 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- ], - "failed_candidates": [], - "pixel_coverage": "ALL frames, count and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_456x256_000009/ego/metainfo.json b/EgoHOS/shared-v1.0/data/train_456x256_000009/ego/metainfo.json deleted file mode 100644 index ec8bbb95b603728eb6537a0d35d7f03569acc3e2..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_456x256_000009/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_456x256_000009", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 456, - 256 - ] - }, - "components": { - "rgb": { - "available": true, - "schema_id": "rgb/uint8/v1", - "data_ref": "observation/rgb.mkv", - "axes": [ - "T", - "height", - "width", - "RGB" - ], - "valid_ref": "observation/rgb_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "exact source JPEG remux or exact RGB round-trip re-encoding" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - }, - "storage": { - "profile": "mkv/mjpeg_copy/v1", - "codec": "mjpeg", - "pixel_format": "yuvj420p", - "encoded_size": [ - 456, - 256 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": true, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - 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{ - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 456, - 256 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg 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contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_456x256_000009/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_456x256_000009/ego/observation/rgb.mkv deleted file mode 100644 index 7b6042aba982ff5431ec48a03df57435054305f1..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_456x256_000009/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid 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image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_456x256_000010/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_456x256_000010/ego/observation/rgb.mkv deleted file mode 100644 index 3b4683ed2524070187ffc4d1514639b2cde21abe..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_456x256_000010/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:e73bc08bd6729542c8900c29a6a28a5acf3548baac11edf1c9c28c9d8d19ccf4 -size 2667009 diff --git a/EgoHOS/shared-v1.0/data/train_456x256_000010/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/train_456x256_000010/ego/observation/rgb_valid.pt deleted file mode 100644 index 38897b6a890a2cd9be31dd6ca9c6644f597e145b..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_456x256_000010/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid 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a/EgoHOS/shared-v1.0/data/train_456x256_000012/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_456x256_000012", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 456, - 256 - ] - }, - "components": { - "rgb": { - "available": true, - "schema_id": "rgb/uint8/v1", - "data_ref": "observation/rgb.mkv", - "axes": [ - "T", - "height", - "width", - "RGB" - ], - "valid_ref": "observation/rgb_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": 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categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - 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88059cf0799a8dd0d7501401e3b481147f0eff36..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_640x480_000002/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_640x480_000002", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 640, - 480 - ] - }, - "components": { - "rgb": { - "available": true, - "schema_id": "rgb/uint8/v1", - "data_ref": "observation/rgb.mkv", - "axes": [ - "T", - "height", - "width", - "RGB" - ], - "valid_ref": 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source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_640x480_000003/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_640x480_000003/ego/observation/rgb.mkv deleted file mode 100644 index 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and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_640x480_000004/ego/metainfo.json b/EgoHOS/shared-v1.0/data/train_640x480_000004/ego/metainfo.json deleted file mode 100644 index 03cd5564d778994b5b85df09f253b45afa2f71d3..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_640x480_000004/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "train_640x480_000004", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 125, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "train", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - 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- "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 640, - 480 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/train_640x480_000004/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/train_640x480_000004/ego/observation/rgb.mkv deleted file mode 100644 index 5599fa35f8581140cc18ba0d8220dfefd6d9ce77..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_640x480_000004/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:f9db26aeae537ec46a955bdb4e16e19250768f3334a938a7051635db55141c66 -size 5392324 diff --git a/EgoHOS/shared-v1.0/data/train_640x480_000004/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/train_640x480_000004/ego/observation/rgb_valid.pt deleted file mode 100644 index 30aff63805277bc1744c52624f86b52bc99876a2..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/train_640x480_000004/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:1cb9fce87a0f2d773ceb3033a2c0cc4194044f589c3dc690945e3460e8bb9c05 -size 1655 diff --git a/EgoHOS/shared-v1.0/data/val_1440x1080_000000/ego/annotation/segment/instances.jsonl b/EgoHOS/shared-v1.0/data/val_1440x1080_000000/ego/annotation/segment/instances.jsonl deleted file mode 100644 index 94ecf926c3bcbfde94fcd799ac34015363e7b2c4..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/val_1440x1080_000000/ego/annotation/segment/instances.jsonl +++ /dev/null @@ -1,128 +0,0 @@ -{"frame_index": 0, "labels": [{"mask_value": 9, 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identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "copy", - "stream_copy": true, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 1440, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": 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"valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": 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- ], - "failed_candidates": [], - "pixel_coverage": "ALL frames, count and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/val_1440x1080_000001/ego/metainfo.json b/EgoHOS/shared-v1.0/data/val_1440x1080_000001/ego/metainfo.json deleted file mode 100644 index e65b5bb42179b6ef31fbeb623d8deab82db31cef..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/val_1440x1080_000001/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "val_1440x1080_000001", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "val", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 1440, - 1080 - ] - }, - "components": { - "rgb": { - "available": true, - "schema_id": "rgb/uint8/v1", - "data_ref": "observation/rgb.mkv", - "axes": [ - "T", - "height", - "width", - "RGB" - ], - "valid_ref": "observation/rgb_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "exact source JPEG remux or exact RGB round-trip re-encoding" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - }, - "storage": { - "profile": "mkv/mjpeg_copy/v1", - "codec": "mjpeg", - "pixel_format": "yuvj420p", - "encoded_size": [ - 1440, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": true, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "rgb24", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "copy", - "stream_copy": true, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 1440, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/val_1440x1080_000001/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/val_1440x1080_000001/ego/observation/rgb.mkv deleted file mode 100644 index 0bd9a9b50f2d141784fbae7d3977e1922a96e04c..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/val_1440x1080_000001/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:7f55f4868312e1e3cc17b2ea86da4764775aae5805b84375518745a0dc5038d6 -size 22790923 diff --git a/EgoHOS/shared-v1.0/data/val_1440x1080_000001/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/val_1440x1080_000001/ego/observation/rgb_valid.pt deleted file mode 100644 index 38897b6a890a2cd9be31dd6ca9c6644f597e145b..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/val_1440x1080_000001/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:aa7fff018778d52c47e0824b1887b4cbff83ea2cb8242afd95a4ea76ee36bca0 -size 1719 diff --git a/EgoHOS/shared-v1.0/data/val_1440x1080_000002/ego/annotation/segment/instances.jsonl b/EgoHOS/shared-v1.0/data/val_1440x1080_000002/ego/annotation/segment/instances.jsonl deleted file mode 100644 index 881eec3cace41d633921af3a17ce71b44291ffae..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/val_1440x1080_000002/ego/annotation/segment/instances.jsonl +++ 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a/EgoHOS/shared-v1.0/data/val_1440x1080_000002/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "val_1440x1080_000002", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 115, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "val", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - "image_size": [ - 1440, - 1080 - ] - }, - "components": { - "rgb": { - "available": true, - "schema_id": "rgb/uint8/v1", - "data_ref": "observation/rgb.mkv", - "axes": [ - "T", - "height", - "width", - "RGB" - ], - "valid_ref": "observation/rgb_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": 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"encoder_parameters": { - "name": "copy", - "stream_copy": true, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 1440, - 1080 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/val_1440x1080_000002/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/val_1440x1080_000002/ego/observation/rgb.mkv deleted file mode 100644 index 74c47cddd51d554c81e838c37367a13df09e1d17..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/val_1440x1080_000002/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:d0221b3a1ad5df6740ad130b1025e671f8212d89c6667e0b593d1195b197034e -size 21141409 diff --git a/EgoHOS/shared-v1.0/data/val_1440x1080_000002/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/val_1440x1080_000002/ego/observation/rgb_valid.pt deleted file mode 100644 index ac219b47b79c87f38605dd9a6a1980b361db19fb..0000000000000000000000000000000000000000 --- 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source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/val_1920x1080_000000/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/val_1920x1080_000000/ego/observation/rgb.mkv deleted file mode 100644 index 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- ], - "failed_candidates": [], - "pixel_coverage": "ALL frames, count and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/val_1920x1440_000000/ego/metainfo.json b/EgoHOS/shared-v1.0/data/val_1920x1440_000000/ego/metainfo.json deleted file mode 100644 index 5b9dae41a8726ce1d4f18486df097bf505a0bbfd..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/val_1920x1440_000000/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "val_1920x1440_000000", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "val", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from 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{ - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 1920, - 1440 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/val_1920x1440_000000/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/val_1920x1440_000000/ego/observation/rgb.mkv deleted file mode 100644 index f2537954c0dc6fda4146afbf95115c6dc8ddc145..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/val_1920x1440_000000/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:6cba1726e95d5bf5f0e7f93b991584f03b014a094d852c4ff28784eeb81cd0c3 -size 31398146 diff --git a/EgoHOS/shared-v1.0/data/val_1920x1440_000000/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/val_1920x1440_000000/ego/observation/rgb_valid.pt deleted file mode 100644 index 38897b6a890a2cd9be31dd6ca9c6644f597e145b..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/val_1920x1440_000000/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:aa7fff018778d52c47e0824b1887b4cbff83ea2cb8242afd95a4ea76ee36bca0 -size 1719 diff --git a/EgoHOS/shared-v1.0/data/val_1920x1440_000001/ego/annotation/segment/instances.jsonl b/EgoHOS/shared-v1.0/data/val_1920x1440_000001/ego/annotation/segment/instances.jsonl deleted file mode 100644 index c5a5130b8b9c7b98739c687635024602f178bc6c..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/val_1920x1440_000001/ego/annotation/segment/instances.jsonl +++ 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- "1", - "-i", - "pipe:0", - "-an", - "-c:v", - "ffv1", - "-level", - "3", - "-pix_fmt", - "gray16le", - "outputs/EgoHOS-full/shared-v1.0/data/val_1920x1440_000001/ego/annotation/segment/mask.ffv1.mkv" - ] - } - ], - "failed_candidates": [], - "pixel_coverage": "ALL frames, count and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/val_1920x1440_000001/ego/metainfo.json b/EgoHOS/shared-v1.0/data/val_1920x1440_000001/ego/metainfo.json deleted file mode 100644 index 2704885e5ce4139e1658b972b00f0cce14786549..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/val_1920x1440_000001/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "val_1920x1440_000001", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 116, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": 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- "gop": null - } - } - }, - "segment": { - "available": true, - "schema_id": "segment/uint16_labels/v1", - "data_ref": "annotation/segment/mask.mkv", - "axes": [ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 2560, - 1920 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], 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"3", - "-pix_fmt", - "gray16le", - "outputs/EgoHOS-full/shared-v1.0/data/val_456x256_000000/ego/annotation/segment/mask.ffv1.mkv" - ] - } - ], - "failed_candidates": [], - "pixel_coverage": "ALL frames, count and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/val_456x256_000000/ego/metainfo.json b/EgoHOS/shared-v1.0/data/val_456x256_000000/ego/metainfo.json deleted file mode 100644 index 165d08ee721069eb60df4617fee9603b81ab42d6..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/val_456x256_000000/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "val_456x256_000000", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 128, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "val", - "sampling": { - "type": "independent", - "source_fps": null, - 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and order", - "random_access": "sequential decode from beginning" - } -} diff --git a/EgoHOS/shared-v1.0/data/val_456x256_000001/ego/metainfo.json b/EgoHOS/shared-v1.0/data/val_456x256_000001/ego/metainfo.json deleted file mode 100644 index c5b350944494c867f6ebc5a63ef4cd3a459434f4..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/val_456x256_000001/ego/metainfo.json +++ /dev/null @@ -1,255 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "dataset_id": "EgoHOS", - "release_id": "shared-v1.0", - "sequence_id": "val_456x256_000001", - "camera_id": "ego", - "sample_type": "image", - "num_frames": 89, - "hand_slots": [ - "left", - "right" - ], - "view_type": "ego", - "split": "val", - "sampling": { - "type": "independent", - "source_fps": null, - "frames_ref": "camera/frames.jsonl", - "strategy": "full", - "seed": 20260928, - "timestamps": "unknown; no timestamps inferred from filenames or MKV PTS" - }, - "camera": { - "model": "unknown", - "schema_id": null, - 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[ - "T", - "height", - "width" - ], - "valid_ref": "annotation/segment/mask_valid.pt", - "valid_axes": [ - "T" - ], - "provenance": { - "kind": "format_conversion", - "method": "source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip" - }, - "source_locator": { - "file": "camera/frames.jsonl", - "field": "mask_source_locator" - }, - "storage": { - "profile": "mkv/uint16_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [ - 640, - 480 - ], - "storage_fps": 1, - "timebase_role": "index_only", - "source_lossy": false, - "decoder": { - "name": "PyAV", - "version": "18.1.0", - "libraries": { - "libavutil": [ - 60, - 26, - 102 - ], - "libavcodec": [ - 62, - 28, - 102 - ], - "libavformat": [ - 62, - 12, - 102 - ], - "libavdevice": [ - 62, - 3, - 102 - ], - "libavfilter": [ - 11, - 14, - 102 - ], - "libswscale": [ - 9, - 5, - 102 - ], - "libswresample": [ - 6, - 3, - 102 - ] - }, - "output": "gray16le", - "rotation": "none", - "color_interpretation": "libswscale source metadata/defaults; identical source/target decoder", - "source_color_space": "unknown" - }, - "encoder_parameters": { - "name": "ffv1", - "stream_copy": false, - "ffmpeg_version": "ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers", - "crf": null, - "gop": null - } - }, - "segmentation_type": "semantic", - "mapping_ref": "annotation/segment/instances.jsonl", - "coverage": { - "kind": "partial", - "meaning": "hands and selected interacting object categories; background is source task background, not exhaustive object annotation" - }, - "valid_policy": { - "rule": "paired source label exists, shape and integer categories verified; no additional official QA supplied", - "local_excluded_frame_indices": [] - } - }, - "depth": { - "available": false, - "reason": "not provided by selected source image release" - }, - "mano": { - "available": false, - "reason": "not exported: model profile/flat-hand-mean/translation conversion not empirically verified" - }, - "visibility": { - "available": false, - "reason": "no independent source visibility input; never inferred from valid" - }, - "contact": { - "available": false, - "reason": "raw package lacks contact/; interaction-order categories are not per-entity contact labels" - }, - "intrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "extrinsic": { - "available": false, - "reason": "source calibration absent" - }, - "keypoints": { - "available": false, - "reason": "source keypoints absent" - }, - "object": { - "available": false, - "reason": "semantic classes do not establish instance identity/mesh/pose" - } - }, - "split_scheme": "EgoHOS-official-four-directories", - "split_source_locator": { - "file": "camera/frames.jsonl", - "field": "source_locator", - "records": "all frame_index rows" - } -} diff --git a/EgoHOS/shared-v1.0/data/val_640x480_000000/ego/observation/rgb.mkv b/EgoHOS/shared-v1.0/data/val_640x480_000000/ego/observation/rgb.mkv deleted file mode 100644 index c8331b3e9091ef8c9d9e337c99f3ffe2517337d6..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/val_640x480_000000/ego/observation/rgb.mkv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:4fa6ed170254275359c2244d02e69376af0df5308cbd6128f0918017db10fd05 -size 3343442 diff --git a/EgoHOS/shared-v1.0/data/val_640x480_000000/ego/observation/rgb_valid.pt b/EgoHOS/shared-v1.0/data/val_640x480_000000/ego/observation/rgb_valid.pt deleted file mode 100644 index 768a15e7d9b5babdbc6b87e8eeee90eec286c826..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/data/val_640x480_000000/ego/observation/rgb_valid.pt +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:5672e16232ba0db95f8faec383df4ec862dcb0637189f55e8e63e70a92442d9c -size 1655 diff --git a/EgoHOS/shared-v1.0/doc/CONTRACT.md b/EgoHOS/shared-v1.0/doc/CONTRACT.md deleted file mode 100644 index e80d21a1c4af1bfaa2f429b3395a4304e6af6eb0..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/doc/CONTRACT.md +++ /dev/null @@ -1,459 +0,0 @@ -# 手物数据仓库统一约定 v1.0 - -格式版本：`hand-warehouse/1.0`。存储约定：`lossless-video-2026-09-18`。 - -范围限于手物交互重建。按本任务纳入的源模态转换，不要求每个数据集填满所有组件。缺失模态、尚未下载、语义未核实分别报告，不能互相替代。 - -shared 层不是 raw 的完整镜像。处理者只需提取本次任务范围明确要求、语义已经核实且能够按本规范可靠转换的字段和模态。raw 中其余字段可以不纳入 shared，但必须在 `RAW_TO_SHARED.md` 中列出主要未纳入内容及原因。不得为了覆盖全部 raw 字段而猜测语义、虚构模态或保存未经定义的字段。未纳入 shared 不等于源数据不存在，原始信息仍以 raw 为准。 - -本文定义各字段的含义与使用规则，机器可读注册表见 [schema.json](schema.json)。两者互相补充；如有冲突，应先核实并统一定义。 - -## 1. 目录 - -```text -hand-datasets/ - / - raw/ - doc/ # 官方说明、来源与校验记录 - script/ # 官方下载脚本、必要包装脚本 - data/ # 保留原始包，不原地解压或改写 - / - doc/ # 发布说明、schema、来源清单 - script/ # 转换、校验脚本及运行配置 - data/ - / - / - metainfo.json - observation/ - rgb.mkv - rgb_valid.pt - depth.mkv # float32 深度的可逆视频编码 - depth_valid.mkv # 逐像素 bool 的无损视频编码 - camera/ - frames.jsonl - intrinsic.pt - intrinsic_valid.pt - extrinsic.pt - extrinsic_valid.pt - annotation/ - mano/ - motion.pt - motion_valid.pt - visibility.pt - keypoints/ - uv.pt - uv_valid.pt - xyz.pt - xyz_valid.pt - visibility.pt # 源数据有时提供 - object/ - / - assets/ # 该物体的网格、材质、纹理及部件资产 - .obj - pose.pt - pose_valid.pt - visibility.pt - metainfo.json # 物体身份、类别、mesh、尺寸与部件引用 - articulation.json - keypoints/ - vertex_part_ids.pt - joint_state.pt - joint_state_valid.pt - parts//pose.pt - parts//pose_valid.pt - segment/ - mask.mkv - mask_valid.pt - instances.jsonl - contact/ - relations.jsonl - __/ # 对应实体间的距离/接触区域 -``` - -目录展示可能存在的组件，不要求填满。具体文件、字段和缺省规则分别见后续对应小节。原始包的解压发生在临时工作区，raw 内原始包保持不变。 - -## 2. 相机视图的 metainfo.json - -### 2.1 顶层字段与发布信息 - -每个相机视图必须有 `metainfo.json`。以下字段除另行说明外均为必填： - -| 字段 | 填写内容 | -|---|---| -| schema_version | 结构版本，本版为 `hand-warehouse/1.0` | -| dataset_id | 数据集的逻辑标识 | -| release_id | 本次数据发布版本，对应目录中的 dataset_version | -| sequence_id | 所属序列或独立图片样本的标识 | -| camera_id | 当前相机视图标识 | -| sample_type | `image` 或 `video`，规则见 2.2 | -| num_frames | 当前视图帧数 T，所有随帧组件按同一时间轴组织 | -| hand_slots | 固定为 `["left", "right"]`；解剖学左右的使用规则见 5.1 | -| sampling | 采样类型、源 FPS、帧索引引用及选择策略，见 2.2 | -| camera | 当前相机模型与图像尺寸，见 2.3 | -| components | 实际提供的组件及其文件、schema、有效性和来源，见 2.5 | -| split | `train/val/test/unknown`，划分协议见 2.4 | -| view_type | 必填，固定为 `ego/exo/unknown`。源数据或采集设置明确相机视角时必须填写 `ego` 或 `exo`；只有无法从可信来源确定时才填写 `unknown`，不得省略或主观猜测。多相机序列须逐视图分别填写。 | - -`dataset_version` 是数据发布版本；`schema_version` 是结构版本，两者独立。原始包校验摘要、官方来源和转换配置应记录在发布清单中。解压发生在临时工作区，原始包保持不变。 - -### 2.2 图片、视频与 sampling - -`sample_type=image`：允许单图 T=1、`sampling.type=single`，也允许将独立图片批量装入一个视频容器，T>1 时 `sampling.type=independent`、`source_fps=null`。分片大小按数据集选择；FreiHAND 默认每片最多 4096 张，训练与评估分开，尾片不补帧。该数量不是其他数据集的强制要求；同批分辨率、相机模型类型及划分协议一致。每行 frames 必须有稳定且唯一的 `sample_id`、原始文件定位；内参、手形状等仍逐帧保留，不能因打包而共享错误的标定或身份。`sequence_id` 在这里仅是批次标识，不代表真实序列；不得按相邻帧推断跟踪、同步或接触延续。源 camera_id、image_variant、split 等随样本变化时放在 frames 的对应字段中。真实采集时间未知则 timestamp_ns=null。合成背景变体不视为真实多相机。 - -`sample_type=video`：`sampling.type=dense/sparse`；`source_fps` 是真实采集 FPS，未知为 null。非连续取样必须保留源帧号和已知源时间，不可用采样后索引除以 FPS 冒充源时间。可另记采样策略与步长。 - -shared 可以仅存所选 RGB 帧对应的数据。OakInk2 图像/动捕不同采样率时用 annotation_matches 明确映射；不要求将未采样动捕点硬塞进 T。多视角身份和源同步关系要保留；选择了哪些帧/相机及原因写在 sampling 中。 - -`sampling.frames_ref` 指向 `camera/frames.jsonl`。帧号、逐帧时间、同步与标注匹配记录的结构见 4.1；MKV 封装时间的约定见 3.1。 - -### 2.3 camera 模型声明 - -`camera` 至少包含 `model`、`schema_id`、`image_size:[W,H]`。模型未知使用 `unknown` 和 `null`，不猜成针孔。实际内参、畸变及外参数组放在 `camera/`，各模型的固定结构见第 4 节。 - -### 2.4 split 与划分协议 - -保留上游划分，不将同一采集序列的相邻帧随意拆到不同集合。 - -有官方划分时必填 split_scheme 和 split_source_locator，split_scheme 区分如 Dex-YCB s0/s1、ARCTIC P1/P2 等选定协议；不知道时 split=unknown 并给理由，不凭空分配。每发布可选择一种协议；存在逐帧差异时 frames 中的 split 覆盖视图默认值，并登记其来源。 - -### 2.5 components 组件登记 - -组件表的键是本发布内唯一名称，例如 `rgb`、`depth`、`mano`、`keypoints_uv`。每个已提供组件声明以下信息；模态特有参数在第 3–5 节对应小节中定义。 - -| 字段 | 约定 | -|---|---| -| available | 本发布是否提供该组件；缺省也表示未提供 | -| schema_id | 已登记的具体存储与语义类型，不得临时创造未登记名称 | -| data_ref | 数据文件路径，相对当前相机视图根目录，使用 POSIX 路径 | -| axes | 数组各维度的含义 | -| valid_ref / valid_axes | 有效性文件及其维度；语义由所属组件规定 | -| storage / valid_storage | 视频数据／视频有效性的存储配置；包含已登记 profile、实际 codec、pixel_format、encoded_size，见 3.1；非视频组件按原数组规则 | -| provenance | source / format_conversion / derived，以及转换或生成方法 | -| source_locator | 原文件、压缩包成员和记录／帧的定位信息 | - -不存在的组件允许缺省或写作 `{ "available": false, "reason": "..." }`，不用引用不存在的文件。静态网格可声明标量有效性；具体见 5.4。观测的 valid 见第 3 节，标注的 valid 与 visibility 区分见 5.1。 - -`provenance.kind` 使用 source/format_conversion/derived，`method` 说明转换或生成方法；发布清单补充脚本版本、参数、输入摘要。`source_locator` 定位到原始文件/压缩包成员和记录、帧号；允许引用有完整溯源清单的前一发布，但链条最终应能回到 raw。不得仅写一个无法定位记录的数据集名字。 - -`.pt` 仅保存 CPU Tensor，不保存 Python 自定义对象；浮点默认 float32，有效性为 bool，浮点无效位置填 NaN。所有随帧数组保留首维 T，单帧也不 squeeze；静态资产按其 schema 单独声明。单位、坐标及固定形状见各组件小节。 - -机器注册表 `schema.json` 中，`components` 固定解码后的数据类型、形状、单位和语义；`storage_profiles` 固定视频内的编码／还原方式。不得临时创造未登记的 schema_id 或 storage.profile。同一语义允许选择其登记的不同无损存储 profile。 - -## 3. observation 观测数据 - -### 3.1 rgb.mkv 与 rgb_valid.pt - -RGB、深度和栅格 mask 在 shared 中统一使用 MKV 视频容器，不展开为逐帧图片或图像 tar。MANO、关键点、位姿等数值标注仍用数组；分割的重叠多边形仍用 JSONL，不为了视频化而有损栅格化。单图可为一帧视频，独立图批量封装规则见 2.2。 - -**无损指共享层不增加信息损失。** 源 JPEG／H.264 等本身可能已是有损编码，原样保留并不恢复已丢失信息；不得重新以有损 JPEG、H.264、H.265、AV1 参数编码。源视频／图片的色彩、位深、分辨率和几何关系不得被静默改变。RGB schema `rgb/uint8/v1` 的统一读取结果是 `[T,H,W,3] uint8`、RGB 通道，有效性仍为 `rgb_valid.pt [T] bool`。超出该 schema 的高位深或 HDR 源必须报告并扩展定义，不能降到 8 位冒充无损。 - -#### 3.1.1 允许的 RGB 存储 profile - -| storage.profile | 编码方式 | 适用规则 | -|---|---|---| -| mkv/mjpeg_copy/v1 | 源 JPEG 压缩帧直接封装成 MJPEG/MKV | 不解码重编码；保持每张 JPEG 码流字节；普通 8 位 JPEG 且 MKV/解码器支持时使用 | -| mkv/source_copy/v1 | 已有视频的 RGB 对应码流直接封装为 MKV | 仅源编码能被 MKV 和选定解码器支持时使用，不伪造帧；需维持正确的呈现顺序与依赖帧 | -| mkv/h264_rgb_lossless/v1 | libx264rgb 的真正无损模式 | 必须 RGB 路径、CRF=0，并通过全帧 RGB 字节比较；不能替换成默认 libx264 YUV420 路径 | -| mkv/ffv1_rgb/v1 | FFV1 的 RGB 可逆编码路径 | 作为通用候选；解码回 RGB 后必须逐字节相同，不做色度降采样 | - -优先尝试源码流直接封装；不能封装或需要选择稀疏帧时，比较 FFV1 与无损 RGB H.264。对完整待发布片段，只在通过无损验收的候选中选择文件较小者，不假设某个编码器总最小；编码时间和随机读取代价记入构建记录。中间候选不作为 shared 多份常驻。H.264 跨帧压缩允许较长 GOP，必须记录 GOP／关键帧间隔，随机取帧需从前一关键帧正确解码，不能把 seek 返回的近似帧当目标帧。 - -普通源视频可以保留它已有的有损码流，但不允许新增有损重编码。源是 VRS 等记录容器时，先查明图像流实际编码：已有兼容 JPEG／视频包可直接提取封装，否则解码后使用真正无损编码；不把整个 VRS 改后缀当 MKV。PNG 不要求直接塞进 MKV，可选上表两种无损重编码方式。 - -#### 3.1.2 视频配置与校验 - -每个视频组件在 metainfo 中登记 `storage`，至少包含： - -| 字段 | 内容 | -|---|---| -| profile | 上述登记的存储 profile；语义仍由组件 schema_id 指定 | -| codec | 文件中实际 codec，例如 mjpeg、h264、ffv1；source_copy 必须写实际 codec | -| pixel_format | 实际编码像素格式；不得仅凭编码器参数猜测 | -| encoded_size | 视频物理像素尺寸 `[width,height]`；深度可能不同于逻辑尺寸，见 3.2 | -| decoder | 解码器名称、版本，以及颜色矩阵／范围／旋转处理等实际像素解释配置；未知的源色彩声明 unknown，不擅自称为 sRGB | -| encoder_parameters | 重编码时的编码器、版本、无损模式和 GOP 等参数；直接封装时记录 stream_copy | -| source_lossy | 源是否已有损：true / false / unknown；不是共享层再有损编码的许可 | - -无损重新编码的 RGB 必须使用同一固定解码配置，比较**全部帧**的统一 RGB 字节、数量及顺序。MJPEG-copy 不重新编码，生产校验采用 `jpeg-packets-all-rgb-sample16/v1`：从 MKV 逐包取回，对全部源 JPEG 的 SHA256、数量、顺序和图像尺寸进行精确核对；每视图另用同一固定解码配置比较最多 16 帧的源与目标 RGB 字节（含首尾与四分位位置，其余由固定种子抽取）。记录策略、实际索引、种子与结果；不足 16 帧时全查。试点与最终完整序列随机抽查，对选中视图的全部帧复核解码 RGB。历史已做全帧像素检查的证明继续保留。 - -逐包一致与像素抽查的范围必须分别声明，不能将抽查写成全量像素检查。不能用 PSNR 高、视觉相似、编码器参数称为 lossless 等替代精确检查。同时保留源编码的色彩标记和必要元数据；原图有 EXIF/色彩/方向等元数据时保留 raw 和必要来源信息；不能静默自动旋转图像而不更新像素对应与标定。以上加速策略仅适用于原 JPEG 码流直接封装，不适用于深度、标签或重新编码的 RGB。 - -所有共享视频的呈现帧顺序与统一 frame_index 一一对应，每个栅格组件恰好 T 帧。MKV 的 `storage_fps` 只服务封装，声明 `timebase_role=index_only`；source_copy 可以保留源 PTS 以避免改坏码流，但真实时间与标注对齐仍以 frames 为准。未知真实时间保留 null。缺失某帧组件时保留索引位置并使用该组件的无效占位／valid 标识，不删帧；不能以重复相邻图像冒充已知观测。 - -### 3.2 depth.mkv 与 depth_valid.mkv - -深度语义仍是 `depth/z_float32/v1`：统一读取结果 `[T,H,W] float32`，米制相机 Z 分量，`depth_type=z`。有效深度有限且大于 0，无效位置为 NaN。`depth_origin=measured/rendered/unknown` 必填，来源不明时 unknown。默认与 RGB 共用像素网格及相机参考系，不处理未注册 RGB-D。射线距离必须依据源定义转换成 z，不能只改声明。 - -#### 3.2.1 float32 的可逆视频编码 - -采用 `mkv/depth_float32_bits/v1`：**不是把深度量化成 uint16**，而是将规范化后每个 IEEE-754 float32 的完整 32 位拆成两个 uint16，使用 FFV1 gray16le 保存。视频物理尺寸为 `[2W,H]`：每行前 W 列存原 float32 位串的低 16 位，后 W 列存高 16 位。读取时先合并为 uint32 位串，再按 float32 重新解释，不能数值 cast 成 float32。 - -```text -u = reinterpret_uint32(depth_float32) -encoded[:, :, :W] = uint16(u & 65535) -encoded[:, :, W:] = uint16(u >> 16) -u_restored = uint32(low) | (uint32(high) << 16) -depth_float32 = reinterpret_float32(u_restored) -``` - -统一采用 little-endian 原始字节接口。`camera.image_size` 始终是逻辑 RGB 尺寸 `[W,H]`，不能改成编码视频的 2W；`storage.encoded_size=[2W,H]`。包括 NaN 在内的 float32 位串必须全帧完全恢复，不允许改成 float16、整数毫米、归一化灰度或 RGB 伪彩色。这里的无损验收基准是完成既定米制／坐标转换后的标准 float32 数组，不声称消除 float64→float32 等原约定转换本身的舍入。 - -#### 3.2.2 逐像素有效性 - -`depth_valid.mkv` 使用 `mkv/bool_ffv1/v1`，FFV1 gray8（FFmpeg pixel_format=`gray`），物理尺寸 `[W,H]`。像素只能为 0 或 1，统一解码为 `[T,H,W] bool`，逐像素含义不变。这样不再把庞大的 bool 数组保存为未压缩 `.pt`；标注的帧级／手级 valid 仍保留原有小数组。 - -登记示例（W、H 以下取 640、480；decoder/encoder_parameters 的实际版本由转换器填写）： - -```json -{ - "available": true, - "schema_id": "depth/z_float32/v1", - "data_ref": "observation/depth.mkv", - "axes": ["T", "height", "width"], - "valid_ref": "observation/depth_valid.mkv", - "valid_axes": ["T", "height", "width"], - "unit": "m", - "depth_type": "z", - "depth_origin": "measured", - "invalid_value": "NaN", - "storage": { - "profile": "mkv/depth_float32_bits/v1", - "codec": "ffv1", - "pixel_format": "gray16le", - "encoded_size": [1280, 480], - "source_lossy": false, - "decoder": {"name": "ffmpeg", "version": "填写实际版本"}, - "encoder_parameters": {"name": "ffv1", "level": 3, "version": "填写实际版本"} - }, - "valid_storage": { - "profile": "mkv/bool_ffv1/v1", - "codec": "ffv1", - "pixel_format": "gray", - "encoded_size": [640, 480], - "source_lossy": false, - "decoder": {"name": "ffmpeg", "version": "填写实际版本"}, - "encoder_parameters": {"name": "ffv1", "version": "填写实际版本"} - }, - "provenance": {"kind": "format_conversion", "method": "源深度转米制 z float32；逐位打包为 FFV1"}, - "source_locator": {"file": "raw/data/depth.zip", "member": "depth/0001.png"} -} -``` - -深度和有效性视频都必须逐帧解码验收：float32 位串相同、bool 相同、T 相同，并检查 valid=true 的正有限值和 valid=false 的 NaN。读取器必须按 profile 还原，不能把 depth.mkv 的编码像素直接当深度值。 - -## 4. camera 相机、帧索引与标定 - -### 4.1 frames.jsonl：索引、时间与对应关系 - -`camera/frames.jsonl` 每行对应统一帧号 `frame_index=0..T-1`，是所有组件的唯一行索引。至少包含 `frame_index`、`timestamp_ns`、`clock_domain`、`source_locator`；原始帧号/文件名保存在 `source_frame_id`，不能被新帧号替代。每行还可有 `annotation_matches`，按组件键保存 `source_frame_id`、`source_timestamp_ns`、`clock_domain`、`match_method` 和 `delta_ns`；方法为 exact/index_map/nearest/interpolated，索引映射无时间依据时 delta_ns=null。nearest 必须记录允许误差；interpolated 必须记录两端源标识和权重。delta_ns 仅在同一时间域中计算为源标注时间减图像时间。多相机共享 `sequence_id`；已知同步关系必须用 `sync_id` 或明确的源帧/时间映射表达，不能仅凭相同数组索引认定同步。 - -每个视图必须提供此文件。源时间使用整数纳秒及 `clock_domain`，未知写 JSON `null`；不同时间域不能直接比较。逐帧 split 可以覆盖 metainfo 的视图默认划分，并保留来源，见 2.4。 - -### 4.2 坐标系与标定通则 - -| 项目 | 统一约定 | -|---|---| -| 相机坐标 | 右手系，X 向右、Y 向下、Z 向前，长度单位米 | -| 齐次变换 | 列向量，`p_target = T_target_from_source @ p_source` | -| 图像坐标 | `(u,v)`；左上像素中心为 `(0,0)`，u 向右、v 向下，单位 pixel | -| 固定标定 | 本版展开为 T 份，同一 schema 不混用静态与动态形状 | -| 分辨率或模型变化 | 分开存储为视图／片段，不在同一组件中混装 | -| 未知标定 | 相机内外参允许缺省，不填单位阵冒充已知标定 | - -### 4.3 intrinsic.pt 与畸变参数 - -| model / schema_id | intrinsic.pt 的固定结构 | -|---|---| -| pinhole / camera/pinhole/v1 | `[T,3,3]`，标准 K，最后一行为 `[0,0,1]`；限无畸变或已校正图像 | -| fisheye624 / camera/fisheye624/v1 | `[T,15]`，`[f,cx,cy,k0,k1,k2,k3,k4,k5,p0,p1,s0,s1,s2,s3]`，采用 Project Aria Fisheye624 投影定义 | -| opencv_fisheye4 / camera/opencv_fisheye4/v1 | `intrinsic.pt [T,3,3]` 保存 K；同组件 `distortion_ref` 指向 `[T,4]`，顺序 `[k1,k2,k3,k4]`，使用 OpenCV fisheye 等距角度多项式；已由 ReInterHand 实际原始相机参数验证 | -| rational8 / camera/rational8/v1 | `intrinsic.pt [T,3,3]` 保存 K；同组件必需 `distortion_ref` 指向 `[T,8]`，顺序 `[k1,k2,p1,p2,k3,k4,k5,k6]` | -| unknown / null | 不提供可用 intrinsic，不声称可以投影 | - -有畸变的其他模型必须注册新 schema，固定参数名、顺序和投影公式；不能塞进针孔 K 后遗失畸变项。`metainfo.camera.schema_id` 必须与 intrinsic 组件一致。同一模型的别名不可隐式改变参数布局。 - -`opencv_fisheye4`：对前方点令 `x=X/Z, y=Y/Z, r=sqrt(x²+y²), theta=atan(r)`，`theta_d=theta*(1+k1*theta²+k2*theta⁴+k3*theta⁶+k4*theta⁸)`；`u=fx*x*theta_d/r+cx, v=fy*y*theta_d/r+cy`。光轴 r=0 时使用连续极限 `theta_d/r=1`。四系数不能按普通径向畸变解释，也不能补零冒充 Fisheye624。 - -rational8 对归一化坐标 x=X/Z、y=Y/Z，令 r²=x²+y²，径向项为 `(1+k1*r²+k2*r⁴+k3*r⁶)/(1+k4*r²+k5*r⁴+k6*r⁶)`；再加 p1/p2 切向项并经 K 得到像素。`distortion_ref` 与 intrinsic 共用 `[T]` valid，保存到 camera/distortion.pt。不得把这种畸变三维坐标当作真实相机系 xyz 保存。 - -内参有效性为 `intrinsic_valid.pt [T] bool`；有畸变时使用对应 `distortion_ref`。同一模型的参数名和顺序固定。 - -### 4.4 extrinsic.pt 与 extrinsic_valid.pt - -`extrinsic.pt` 为 `[T,4,4]`，schema `transform/se3/v1`，方向固定 `T_camera_from_world`，有效性 `[T]`。世界坐标含义及源坐标转换记录在 provenance 中；只有相机坐标标注不要求虚构世界坐标。旋转块须正交且 determinant≈1。 - -## 5. annotation 标注数据 - -### 5.1 标注通则：手槽、valid 与 visibility - -手槽固定为 0=left、1=right，指解剖学左右，不按画面位置或可见性重排。本阶段只处理左右手两槽，不处理更多手。实体引用使用 `hand_left`、`hand_right`；手槽不证明跨采集片段的个人身份。 - -#### 5.1.1 valid：标注是否可用于监督 - -标注的 `valid=true` 表示：有对应实际标注、通过本 schema 数值检查，且通过来源明确提供并适用于该组件的有效性/QA 条件。`valid=false` 可由缺标注、无法建立帧对应、源无效占位或官方 QA 不通过导致；不等于画面没有手或手不可见。各组件独立判断，MANO 按 `[T,2]` 标记左右手，关键点按 `[T,2,K]` 标记。 - -**2026-09-20 将标注 valid 从“仅表示存在”修订为“可用于监督”，字段形状不变。** 公式为 `source_annotation_present AND numerical_checks_pass AND applicable_official_QA_pass`。没有官方 QA 时省略最后一项，不伪造 QA；不能把未知当成已通过已存在的 QA。适配器在组件 `valid_policy` 中记录具体规则、来源、聚合/广播作用域。缺失官方必需 QA 的记录须明确处理为未知或暂停验收，不能静默通过。无效浮点项仍填 NaN，原始数据保留在 raw；被排除原值可用于 doc 中明确标识的诊断渲染，不能冒充 shared 有效监督。 - -本地筛选须依据明确的规则，并在 `valid_policy.local_excluded_frame_indices`、排除原因和正式报告中记录。单个可疑投影作为问题记录，不直接硬编码排除该帧。已确认的曝光异常须明确作用范围，不能把一个序列的“前两帧有问题”套到所有序列。RGB 编码完好与几何监督可用是两件事，允许保留原图及帧索引而屏蔽对应标注；未发现问题不等于完成全部人工审核，试点待确认时不能作为已验收发布使用。 - -源字段必须按官方语义映射，不能直接按名字复制： - -| 来源 | 官方含义 | 映射原则 | -|---|---|---| -| [H2O](https://github.com/taeinkwon/h2odataset) 的手标注首位 | 0 未标注、1 已标注 | 可作为对应手标注存在性的依据，不推断未标注原因 | -| [HOT3D](https://github.com/facebookresearch/hot3d#using-mask-files) 的 pose_available、visible、mask_qa_pass | 分别表达姿态存在、可见性、对画面中可见手物位姿的人工 QA | 逐手/物体记录决定存在性，再 AND 当前相机当前帧 QA；QA 是整帧聚合判定，保守排除该帧全部手物几何监督，不声称每个实体均有错误；源可见性基于位姿推导时，其自身 valid 同样受 QA 约束 | -| [Dex-YCB](https://github.com/NVlabs/dex-ycb-toolkit#loading-dataset-and-visualizing-samples) 的全零 pose_m、全 -1 joints | 不可见的手或缺标注共用占位表示 | 对应组件 valid=false；不能从该值判定 visibility=false，也不能声称原因是动捕缺失 | -| [ARCTIC](https://github.com/zc-alexfan/arctic/blob/master/docs/data/data_doc.md) 的 is_valid/left_valid/right_valid | 是否有效用于官方评估 | 核实每项筛选依据；不把可见性/评估选择直接等同 QA。本次原始 mano.npy 不含这些派生评估标记，按原记录与数值检查生成 valid，并声明没有额外官方 QA 输入 | - -源 valid=false 若代表评估筛选或其他条件，应检查实际标注和源约定后映射；不能一律清空坐标。反之，占位零或 -1 只有在源官方明确规定时才判为缺失，不泛化成所有数据的判断规则。 - -`valid=true` 的标注应通过其 schema 的数值与形状检查；检查失败必须报告或修复，不能静默隐藏。QA 不通过应报告排除数量与原因，并保留可追溯信息；不能把这类无效称为缺标注。RGB、深度等观测有效性仍按各自 schema；手物 QA 不自动否定 RGB、静态相机内参或物体资产。相机外参是否过滤须依据其自身来源规则；HOT3D 本次保留源外参用于溯源和诊断，不能用其存在性证明 QA 失败帧的几何监督正确。 - -#### 5.1.2 visibility：可见性属性 - -附加质量属性只保留 `visibility`，存放在对应模态或标注集内，不设 quality 目录。同一份可见性仅存一次；uv 与 xyz 共用时引用同一个文件。 - -visibility 通过所属组件 attributes 登记 data_ref、axes、dtype、visibility_type、meaning、provenance、source_locator；未知值通过属性 valid_ref 标识，全已知可声明 valid=true。比例与布尔值不相互强转，也不按任意阈值二值化。没有 MANO 时，整手可见性挂在 keypoints 组件，使用独立的 whole_hand_visibility.pt，明确 meaning=whole_hand，不与逐关键点可见性混用。 - -`valid` 回答“这项标注能否用于监督”，`visibility` 回答“在当前图像中是否可见（或可见多少）”。不可见的手或关键点仍可有有效标注；不能因 visibility=0 就清空坐标。源没有 visibility 时缺省或标为未知，不由 valid 推断。 - -| 情况 | 手标注 valid | visibility | -|---|---|---| -| RGB 已开始录制，动捕尚未开始，没有其他对应手标注 | false | 以独立源可见性标注为准；没有则未知 | -| 手被遮挡，但源有标注且通过适用有效性检查 | true | 若源声明不可见，则 false 或源可见比例 | -| 手可见且有对应标注，通过适用 QA | true | 若源有此信息，则 true 或源可见比例 | -| 手可见，但该帧漏标或动捕中断 | false | 可以为 true，但必须有独立来源依据 | -| 有手部参数，但官方 QA 明确不通过 | false | 不据此断言不可见；源可见比例若基于不可靠位姿，其属性 valid 也为 false | - -visibility 自己的 valid_ref 表示该可见性标注是否可用，不复用 MANO 或关键点坐标的 valid_ref；明确记录源存在性及适用的 QA 条件。上述例子不要求凭图像自动生成可见性。 - -不设 quality 组件或目录，不另存拟合误差、曝光、截断比例等通用质量数组。适用的官方 QA 合并进对应 valid，在 `valid_policy` 记录来源与规则；正式校验报告保留原始 QA 时间区间及排除统计。原始 QA 文件仍在 raw，官方 split 保留。 - -### 5.2 mano：参数与整手可见性 - -MANO schema `mano/axis_angle61/v1`：`motion.pt [T,2,61]`，顺序为完整 16 关节 axis-angle 48、shape betas 10、全局平移 3。姿态使用弧度，平移米，位于当前相机系。有效性 `[T,2]`；缺少一侧整槽 NaN。PCA 必须先按对应模型展开，不能将 PCA 系数直接填入 axis-angle。 - -`model_profile` 必须固定 MANO 版本、`flat_hand_mean=true`、左手 shapedirs 修正状态。平移表示模型输出顶点所加的全局平移，不是某个腕关节的坐标；源语义不同须转换。shape 无量纲。模型权重不作为共享数据附带上传。 - -`mano/visibility.pt [T,2]` 保存源整手可见比例时使用 float32 [0,1]，`visibility_type=ratio`；只有实际采用 0–100 的百分比才除以100，不能只凭表头判断。HOT3D 的 `visibility_ratio[%]` 实值已经是0–1，官方读取器原样读取，必须保留原值。通过 MANO 组件 attributes 登记，使用独立有效性，不复用 motion_valid。 - -手部共享表示仅保留 MANO 参数与选定关键点，不发布独立手表面几何。需要渲染或接触计算时由 MANO 参数生成，几何引用使用固定 MANO 模型配置与顶点顺序；不影响 object 下的物体模型和材质资产。 - -### 5.3 keypoints：二维点、三维点与逐点可见性 - -关键点独立于 MANO 参数存在；没有 motion 也可有关键点。`uv.pt [T,2,K,2]` 与 `xyz.pt [T,2,K,3]`，有效性 `[T,2,K]`，分别采用 `keypoints/uv/v1` 和 `keypoints/xyz/v1`。K 由 `keypoint_schema` 固定，不能在同一数组中逐帧变化；同体系统一顺序。数值使用像素坐标或米制相机系。 - -| keypoint_schema | K 与固定索引 | -|---|---| -| mano21/v1 | 21；wrist 后依次 thumb/index/middle/ring/little，每指由近端至指尖 | -| rhd21/v1 | 21；保持 wrist，然后五指由近端至指尖；原始每指 tip→palm 反序。只统一顺序，不宣称解剖学位置等价于 MANO | - -具体名称与源索引映射见 `schema.json`。当前只登记 MANO21 与 RHD21；不登记 MediaPipe、ReInterHand capture21 或 fit24 中间关键点。 - -每个发布中的每个视图只提供一套标准手关键点，直接放在 keypoints 下，不设 annotation_set_id 字段或目录。uv 与 xyz 是这套关键点的二维与三维表示，不是两套标注。provenance 分别记录二者来自原始标注还是计算结果；不要求已有 2D 必须由当前 xyz 重新投影覆盖。 - -ReInterHand 的 Original keypoints、Original fits keypoints 及带前臂关键点不纳入 shared；如需手关键点，从选定 MANO 参数生成 MANO21 并记录模型/指尖回归约定。其他数据集默认使用选定的官方关键点，不额外生成平行的 MANO 派生集合。后续主动更换生成方法或结果时发布新的 dataset_version，不在同一版本内增设方法分支。 - -manual/projection/fitting 只记录在 provenance，不作为目录或类型分支。不得通过坐标为零、是否出画或 visibility 判断标注是否存在。派生标注仅在实际生成并通过数值检查后声明 valid=true；没有生成的项为 false，不伪造坐标。 - -`keypoints/visibility.pt [T,2,K]` 保存源逐点可见性，布尔表示使用 `visibility_type=boolean`。uv 与 xyz 共用时引用同一份文件。整手比例属性没有 MANO 可挂载时使用 `whole_hand_visibility.pt [T,2]`，`meaning=whole_hand`；它与逐点可见性分开，通用登记规则见 5.1。 - -不使用 annotation_set_id；ReInterHand 中间关键点集合不进入 shared，raw 保留来源文件。 - -### 5.4 object：身份、资产、位姿与几何 - -#### 5.4.1 metainfo.json：物体身份与跟踪作用域 - -手用 `hand_left`、`hand_right` 及槽位 0、1 表示，不再另存 entities.json。物体身份登记在 `annotation/object//metainfo.json`，必填 `object_id`、`identity_scope`、`scope_id`、`source_locator`；可含 `category_id`、`source_object_id`、`mesh_ref`、`has_model`、部件引用。即使只有分割、没有 pose/mesh，也可只有这份物体元信息。 - -`identity_scope` 为 frame/subsequence/sequence，`scope_id` 指定具体作用域；跨相机共享身份只在已有源对应证据时使用。VISOR 按官方 subsequence 与实体名关联时记录 `association_basis=official_subsequence_entity_name`，不能声称这是全视频物理实例跟踪。无需与 object_id 一一对应的标准 track_id；官方独立轨迹标识存在时保留为 source_track_id，并声明作用域。手槽不证明跨采集片段的个人身份。 - -#### 5.4.2 assets：网格、材质与纹理 - -资产属于物体，统一存放在 `annotation/object//` 内，可用 `assets/` 子目录组织网格、材质、纹理和部件资产。序列层不设共享 assets。所有引用采用视图根目录为基准；其中物体资产组件的 `data_ref` 与部件的 `mesh_ref` 采用相对于当前视图目录的 POSIX 路径，例如 `annotation/object/cup_01/assets/cup.obj`，且必须指向所属物体目录内的资产。OBJ 内部的材质、纹理引用遵循文件格式自身的相对路径规则，依赖文件一并保留。不同相机视图允许各自保存物体资产，不要求跨视图去重；下载物体时包含其资产依赖。 - -网格 schema 为 `mesh/obj/v1`，顶点米制，静态有效性可直接声明标量 `valid`，或通过 `valid_ref` 指向标量 bool Tensor；不按 T 重复静态资产。由物体／部件通过引用关联，不仅凭文件名猜测。 - -#### 5.4.3 pose.pt、pose_valid.pt 与 visibility.pt - -刚体 schema 为 `object/rigid/v1`，`pose.pt [T,4,4]` 固定为 `T_camera_from_object`，平移米制，有效性 `[T]`。物体坐标原点、轴向必须与 mesh 一致；旋转块为正交矩阵且 determinant≈1。 - -`object//visibility.pt [T]` 保存源物体可见比例，float32 [0,1]，`visibility_type=ratio`。通过所属物体组件 attributes 登记，独立表达其有效性。 - -#### 5.4.4 articulation.json、部件位姿与 joint_state.pt - -关节物体：schema `object/articulated/v1`，`articulation.json` 登记 `parts` 与 `joints`。每个 part 有 `part_id`、`parent_id`（根为 null）、`has_model`、`mesh_ref`；has_model=false 时 mesh_ref=null，结构节点允许没有网格。父链不得成环。每个 joint 有唯一 `joint_id`、`parent_part`、`child_part`、`type`；fixed 单位 null、revolute 弧度、prismatic 米。有源限位时保存 `limits:[lower,upper]`；没有时 null，不伪造上下限。部件姿态统一为 `T_camera_from_part [T,4,4]`，不与父局部变换混装。 - -若提供 `joint_state.pt [T,J]`，必须登记固定 joint_order、轴在父部件系的表达、零位变换与正方向，valid 为 `[T,J]`；缺少这些运动学定义时只发布部件位姿与已有来源信息，不伪造可驱动的关节模型。关节值与部件位姿同时存在时需验证一致性。 - -部件层级应声明语义：纯语义包含树允许 `joints=[]`，不将包含关系推断为机械关节。关节状态 schema 为 `object/joint_state/v1`；转动用弧度、移动用米，混合类型按 joint_order 对应的关节定义解释。 - -#### 5.4.5 dimensions、几何关键点与顶点部件标签 - -`dimensions.pt [T,3]` 采用 `object/dimensions/v1`，有效性为 `[T]`。 - -物体/部件 `dimensions` 为 `[length,width,height]` 米，轴顺序与该 mesh 的局部坐标关联，登记 `dimensions_semantics` 和来源。HOI4D dimensions 与 mesh 的具体尺度关系未验证前标为 source_unspecified，保留源值并暂停依赖该关系的几何验收，不能默认为待施加缩放。需要施加缩放时明确 scale_applied_to_mesh，禁止重复应用。 - -源物体关键点放 `object//keypoints/xyz.pt [T,K,3]`（相机系）或 `template_xyz.pt [K,3]`（物体系），schema 分别为 object_keypoints/camera/v1 和 object_keypoints/template/v1。明确 keypoint_schema、keypoint_names、单位及有效性；模板点配合 pose 可投影，无须重复生成全部帧。H2O 中心/角点/棱中点，以及 ARCTIC 部件点分别登记具体源顺序，不套用手的 21 点 schema。每个发布选择一套源几何点并记录选择，不另建方法分支。 - -`vertex_part_ids.pt [V] int64` 绑定 `mesh_ref` 与 topology_id，登记整数到 part_id 的映射；未知用 -1。ARCTIC 不同拓扑的资产分别绑定，不能共用未经转换的顶点标签。部件层级中 is_instance/has_model 等源属性保留，几何文件仍全部归 object。 - -### 5.5 segment：分割类别、编码与覆盖范围 - -每个发布选择一套任务使用的分割表示，不建立方法／标注集分支。没有分割就不创建 segment 目录，不为其他模态创建空的实体表。 - -| schema_id | 文件与数值语义 | -|---|---| -| segment/uint16_labels/v1 | mask.mkv；整数区域编号，通过 instances.jsonl 解释 | -| segment/instance_polygons/v1 | polygons.jsonl；实例多边形，可重叠；当前不支持孔洞拓扑 | -| segment/foreground_intensity/v1 | mask.mkv；0–255 前景强度，不是区域编号或经过校准的概率 | - -#### 5.5.1 uint16 标签图与 instances.jsonl - -组件声明 `segmentation_type=semantic/instance/part`；同一组件固定一种类型。`mask.mkv` 解码为 `[T,H,W] uint16`，schema `segment/uint16_labels/v1`，使用 `mkv/uint16_ffv1/v1`，FFV1 gray16le 无损；只有所有区域编码均 ≤255 时允许 gray8（pixel_format=gray），读取后转 uint16，数值不变。禁止调色板和有损编码。有效性 `[T]`，表示该帧有可用分割标注。数值 0 固定为 unassigned，65535 固定为 ignore，1–65534 为区域编码，不能直接等同 entity_id。 - -`instances.jsonl` 每帧一行，包含 `frame_index` 与 `labels`。每条标签包含 `mask_value`、`category_id`、`entity_id`、`part_id`；无意义或未知字段为 null。semantic 允许 entity_id=null；instance 必须引用 hand_left/hand_right 或登记的 object_id；part 还须关联登记部件。源实例 ID 和其他属性分别保存在 `source_instance_id`、`source_attributes`。mask 中每个非保留编码必须有且仅有一个映射。 - -FreiHAND 的试点按本任务需要，统一到手／背景类别，保留每个原生区域编码；不要求给原生细分区域猜测手指名称。需要细部件监督时，尚未核实的部件名称必须保持未知，不能因粗粒度手类别已核实便声称部件语义也已统一。 - -#### 5.5.2 重叠实例多边形 - -每发布选择一套任务使用的分割表示，不建立方法/标注集分支。VISOR 的实际试点存在重叠实例多边形，单层标签图不能无损表达。对此补充 `segment/instance_polygons/v1`：`segment/polygons.jsonl` 每帧包含 `frame_index` 和 `instances`，每实例包含 `mask_value` 与 `polygons`（列表，每个多边形为源图像像素坐标顶点序列，保留原始精度）。身份和类别仍由同一 `instances.jsonl` 映射，有效性仍为 `[T]`，通过 schema 区分物理编码。允许多实例重叠，不采用后画覆盖前画。消费者按需栅格化为独立实例二值 mask；不能声称合并的单层 mask 无损。 - -#### 5.5.3 灰度前景强度 - -ReInterHand 的官方渲染 mask 为双手合并的灰度前景掩码，实测存在 0–255 的中间值，不是左右手实例编号。登记 `segment/foreground_intensity/v1`：仍存 `segment/mask.mkv`，解码为 `[T,H,W] uint16`，使用 `mkv/uint16_ffv1/v1`，此类数据优先编码为 FFV1 gray8（pixel_format=gray），读取后转 uint16。有效值范围 0–255，归一化值为 `float32(value)/255`；0 为背景端点、255 为前景端点。组件声明 `foreground_category=hand`、`entity_id=null` 和双手合并语义，不使用区域编号映射。这里保留原始渲染 mask 强度，不把它称为经过校准的概率。若任务需要二值 mask，阈值化属于任务层派生操作，记录阈值；共享层不丢弃中间灰度。不同 schema 的数值含义不同，不能将该文件按整数类别图解码。 - -FreiHAND 训练集的 JPEG mask 使用 `segment/foreground_intensity/v1`，逐像素保留 JPEG 解码后的灰度，`entity_id=hand_right`。该 schema 不限定双手合并：单手或合并范围由 `entity_id` 与 `coverage` 明确声明。评估集整数区域图仍用 `segment/uint16_labels/v1`，两者不能仅凭文件名使用同一种解码语义。 - -#### 5.5.4 coverage 与有效性 - -`coverage.kind=full/selected_entities/partial/unknown`。full 指声明的标注范围完整；selected_entities 还应列出目标范围。无论哪种，0 本身不自动成为背景；背景要有明确类别映射，未标注区域不能用于构造负样本。保留源逐类/逐实例 exhaustive 信息，未知不可改写为完整。 - -三种表示的帧级有效性均为 `[T]`，表示该帧是否提供此分割标注；对应 valid_ref 在组件中登记，仍用小型 bool `.pt` 数组。栅格 mask 必须登记 storage，格式见 3.1.2，所有帧的整数编码或强度逐值完全相同。编码语义由 schema_id 决定，读取器不能仅依据 mask.mkv 文件名选择解码方式。 - -### 5.6 contact：接触、抓取、区域与距离 - -#### 5.6.1 relations.jsonl 与 relations_valid.pt - -`annotation/contact/relations.jsonl`，schema contact/relations/v1，每帧一行含 frame_index、relations。每条记录含 relation_type（contact/grasp）、subject_id（手槽或登记实体）、object_id、status、source_locator、provenance。status 固定为 positive/negative/unknown/target_unannotated：positive 必须有可解析目标，negative 表示源明确否定该关系，unknown 为不确定，target_unannotated 为确有接触但目标未标注。非 positive 的 object_id 可 null，不能用 null 冒充“不接触”。稀疏源无记录的帧不自动补 negative。 - -VISOR 的对象 mask ID 必须先按同帧 source_instance_id 解析成 object_id；hand-not-in-contact、none-of-the-above、inconclusive 分别映射 negative、target_unannotated、unknown，保留原始字符串。Dex ycb_grasp_ind 通过 ycb_ids 映射到登记物体，以 relation_type=grasp 保存；不得当作逐顶点接触。 - -relations 组件的 valid_ref 指向 `relations_valid.pt [T] bool`，表示该帧是否有可用源关系标注。有效帧中可以存在 status=unknown 的明确不确定标注；无源标注的帧为 valid=false、relations=[]。组件仍声明 available/provenance/source_locator。 - -#### 5.6.2 实体对的顶点区域与距离 - -已发布的接触区域/距离按参与关系的 subject_id 与 object_id 组织，每对实体保留选定的一套结果，以精确 geometry_ref/topology_id 关联到手或物体/部件；不要求每套数据都有。顶点区域 schema contact/vertex_region/v1：bool `[T,V]` 加同形 valid；顶点距离 schema contact/vertex_distance/v1：float32 `[T,V]`、米、同形 valid，声明 source/target geometry_ref、distance_definition（signed/unsigned、测量到点集或表面等明确源定义）。geometry_ref 必须指向已登记 mesh 或由固定 MANO 模型配置确定的拓扑；拓扑/顶点数变化时按拓扑拆分片段。其他源区域表示只有在实际接入并登记 schema 后才可转换，不能随意栅格化宣称等价。 - -顶点区域／距离已有存储定义，但尚未完成真实输入试点；接入时必须提供源语义与几何验收证据，不因已经登记 schema 就视为通过。 - -## 附录：任务范围 - -不强制收录 2D bbox、完整高频动捕、动作程序、身体 SMPL-X、点云或网络特征。范围内的接触、visibility、选定手关键点、物体几何不能因不便处理而静默丢弃。分割采用的物理编码由第 5.5 节决定，存在重叠时不能以单层标签图声称无损。 - -不设置 entities_ref/segment/entities.json，不要求与 object_id 重复的 track_id。MediaPipe 不在当前关键点定义中；旧版本迁移必须保留可追溯关系，不能直接删表。手部共享表示不含独立 hand_mesh。 - -schema.json 是普通注册表，不是 JSON Schema 文档或可执行验收器；定义存在不代表真实数据已验证。验收须保留实测范围与未决项。 - -本存储约定只更新标准，不代表既有 FFV1／depth.pt 试点已迁移。新发布必须显式写 storage 配置；旧产物按其旧定义读取，不能只改文件后缀或版本标识伪装为合规。 diff --git a/EgoHOS/shared-v1.0/doc/DATA_MAPPING.md b/EgoHOS/shared-v1.0/doc/DATA_MAPPING.md deleted file mode 100644 index 8b0af4fc8ea7a2fd3fac55afbf65d6df0390bb60..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/doc/DATA_MAPPING.md +++ /dev/null @@ -1,42 +0,0 @@ -# EgoHOS raw → shared-v1.0 - -范围：RGB、官方九类语义分割。数据不是已验证连续视频；按独立图片打包，不推断跟踪、时间、相机标定、实例身份或接触延续。 - -## 来源与实际输入 - -- 仓库： -- 固定 HF revision：`8818d04d6cbdc0bf32b6ef949257b82310f16798`。 -- 官方语义：。 -- 外层 `egohos_dataset.zip` 同时包含内层 ZIP 与解压副本；转换只取外层的 image/label，避免重复收录。 -- 四组原始图片数：train 8993、val 1124、test_indomain 1126、test_outdomain 500。来源是仓库 raw/doc/SOURCES.md；全量脚本另做实际计数校验。 -- 试点 HTTP Range 只取中央目录及选中成员，逐成员 CRC、SHA256 校验。没有下载全包时，不声称验证了整个 ZIP 的 SHA256。 - -## 字段映射 - -| raw | shared | 规则 | -|---|---|---| -| `/image/` | `observation/rgb.mkv` | JPEG 优先原码流 remux，所有包 SHA256 和全部解码 RGB 核对；不适用时同时验证 FFV1 / libx264rgb CRF=0，取完整视图文件较小者 | -| RGB 文件可正常解码 | `rgb_valid.pt [T] bool` | 全部 true；坏文件立即失败，不跳过、不补邻帧 | -| `/label/.png` | `annotation/segment/mask.mkv` | 保留索引值，不将调色板 RGB 当标签；FFV1 gray16le，全帧逐整数核对 | -| 类别 0 background | shared mask 9 | shared 0 保留给 unassigned，显式背景不能继续占用 0 | -| 类别 1、2 | shared mask 1、2 | 解剖学 left/right，entity_id=hand_left/hand_right | -| 类别 3、4、5 | shared mask 3、4、5 | 左/右/双手一级交互物体类别；entity_id=null | -| 类别 6、7、8 | shared mask 6、7、8 | 左/右/双手二级交互物体类别；entity_id=null | -| 以上类别表 | `instances.jsonl` | 每帧一行，semantic 类型；无实例/部件 ID，不捏造实例跟踪 | -| 源 label 存在且类别/尺寸合法 | `mask_valid.pt [T] bool` | 无额外官方 QA 输入；不能用 mask valid 推断手可见性 | -| 目录 split | metainfo + frames.split | 两个 test 目录均为 test，source_split 完整区分 indomain/outdomain | -| 原文件名、归档路径 | `camera/frames.jsonl` | 稳定 sample_id、源 member、源 SHA256、revision、逐帧原定位 | -| 真实时间/标定缺失 | null / component unavailable | camera model=unknown；不伪造 K、单位外参、FPS | - -按 split 和分辨率分组，每片最多 `--chunk` 张。T=1 为 image/single，T>1 为 image/independent；所有 timestamp_ns/clock_domain/source_fps 为 null。MKV 1 FPS 仅作索引，不是采集帧率。view_type=ego。 - -## 未纳入内容及原因 - -- contact：官方 README 描述 contact/，但 ParityLab 原始包实际上没有此目录；标注为缺失，不能把交互物体类别推断成逐实体 positive/negative 接触。 -- 几何、MANO、深度、内外参、visibility：该输入无对应监督，缺省，不生成空几何或虚构单位阵。 -- 模型训练源码、权重、演示 GIF：不是观测或标注；原始包和源码仍在 raw。 -- semantic 的 task background 不是所有物体的完备负样本，coverage=partial。 - -## 验收 - -`encoding_validation.json` 是每视图逐帧字节验收证明；`doc/validation/report.json` 记录自动检查范围、HTML 样本和全发布文件 SHA256。HTML 展示所有已提供模态及缺失原因。只有人工查看 HTML 后才运行 approve；自动测试不替代人工审核。 diff --git a/EgoHOS/shared-v1.0/doc/RAW_TO_SHARED.md b/EgoHOS/shared-v1.0/doc/RAW_TO_SHARED.md deleted file mode 100644 index 8b0af4fc8ea7a2fd3fac55afbf65d6df0390bb60..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/doc/RAW_TO_SHARED.md +++ /dev/null @@ -1,42 +0,0 @@ -# EgoHOS raw → shared-v1.0 - -范围：RGB、官方九类语义分割。数据不是已验证连续视频；按独立图片打包，不推断跟踪、时间、相机标定、实例身份或接触延续。 - -## 来源与实际输入 - -- 仓库： -- 固定 HF revision：`8818d04d6cbdc0bf32b6ef949257b82310f16798`。 -- 官方语义：。 -- 外层 `egohos_dataset.zip` 同时包含内层 ZIP 与解压副本；转换只取外层的 image/label，避免重复收录。 -- 四组原始图片数：train 8993、val 1124、test_indomain 1126、test_outdomain 500。来源是仓库 raw/doc/SOURCES.md；全量脚本另做实际计数校验。 -- 试点 HTTP Range 只取中央目录及选中成员，逐成员 CRC、SHA256 校验。没有下载全包时，不声称验证了整个 ZIP 的 SHA256。 - -## 字段映射 - -| raw | shared | 规则 | -|---|---|---| -| `/image/` | `observation/rgb.mkv` | JPEG 优先原码流 remux，所有包 SHA256 和全部解码 RGB 核对；不适用时同时验证 FFV1 / libx264rgb CRF=0，取完整视图文件较小者 | -| RGB 文件可正常解码 | `rgb_valid.pt [T] bool` | 全部 true；坏文件立即失败，不跳过、不补邻帧 | -| `/label/.png` | `annotation/segment/mask.mkv` | 保留索引值，不将调色板 RGB 当标签；FFV1 gray16le，全帧逐整数核对 | -| 类别 0 background | shared mask 9 | shared 0 保留给 unassigned，显式背景不能继续占用 0 | -| 类别 1、2 | shared mask 1、2 | 解剖学 left/right，entity_id=hand_left/hand_right | -| 类别 3、4、5 | shared mask 3、4、5 | 左/右/双手一级交互物体类别；entity_id=null | -| 类别 6、7、8 | shared mask 6、7、8 | 左/右/双手二级交互物体类别；entity_id=null | -| 以上类别表 | `instances.jsonl` | 每帧一行，semantic 类型；无实例/部件 ID，不捏造实例跟踪 | -| 源 label 存在且类别/尺寸合法 | `mask_valid.pt [T] bool` | 无额外官方 QA 输入；不能用 mask valid 推断手可见性 | -| 目录 split | metainfo + frames.split | 两个 test 目录均为 test，source_split 完整区分 indomain/outdomain | -| 原文件名、归档路径 | `camera/frames.jsonl` | 稳定 sample_id、源 member、源 SHA256、revision、逐帧原定位 | -| 真实时间/标定缺失 | null / component unavailable | camera model=unknown；不伪造 K、单位外参、FPS | - -按 split 和分辨率分组，每片最多 `--chunk` 张。T=1 为 image/single，T>1 为 image/independent；所有 timestamp_ns/clock_domain/source_fps 为 null。MKV 1 FPS 仅作索引，不是采集帧率。view_type=ego。 - -## 未纳入内容及原因 - -- contact：官方 README 描述 contact/，但 ParityLab 原始包实际上没有此目录；标注为缺失，不能把交互物体类别推断成逐实体 positive/negative 接触。 -- 几何、MANO、深度、内外参、visibility：该输入无对应监督，缺省，不生成空几何或虚构单位阵。 -- 模型训练源码、权重、演示 GIF：不是观测或标注；原始包和源码仍在 raw。 -- semantic 的 task background 不是所有物体的完备负样本，coverage=partial。 - -## 验收 - -`encoding_validation.json` 是每视图逐帧字节验收证明；`doc/validation/report.json` 记录自动检查范围、HTML 样本和全发布文件 SHA256。HTML 展示所有已提供模态及缺失原因。只有人工查看 HTML 后才运行 approve；自动测试不替代人工审核。 diff --git a/EgoHOS/shared-v1.0/doc/RUNBOOK.md b/EgoHOS/shared-v1.0/doc/RUNBOOK.md deleted file mode 100644 index c18da834eac5843bd9b04b38bd8f415159c1cddb..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/doc/RUNBOOK.md +++ /dev/null @@ -1,147 +0,0 @@ -# EgoHOS / OakInk-v1 预处理脚本 - -以随包 CONTRACT.md 与 schema.json 为规范，输出 `<数据集>/shared-v1.0/{doc,script,data}`。默认只跑试点。**人工查看试点 HTML 后才能全量；全量结束后再次抽样人工确认才能上传。** 本包不是全量处理结果。 - -## 当前覆盖范围 - -| 数据集 | 可用路径 | 待补充 | -|---|---|---| -| EgoHOS | RGB + 9 类语义分割；四个官方 split；真实源样本可直接 Range 下载试点 | raw 包没有独立 contact 图，无标定/几何 | -| OakInk-v1 / OakInk-Image | RGB-only 明确选项；可在服务器处理图像分卷 | 当前 HF raw 不含 anno_v2_1.zip；几何分支须补齐后真实试点 | -| OakInk 几何可选分支 | K、外参、相机系右手 xyz/派生 uv、物体位姿、居中 OBJ 与依赖 | 无真实标注验收前，仅视为待验证适配器；MANO 未实现，不伪造参数 | - -OakInk-Shape/OakBase 不作为图像帧转换；具体排除原因见 DATA_MAPPING 文档。FreiHAND 参考链接本次匿名访问返回 401，未以未读内容作实现依据；目录和字段按用户提供的两个约定文件实现。 - -## 环境 - -Python 3.10+、FFmpeg（须有 ffv1 与 libx264rgb）、OakInk 分卷解压需要 7z/7zz。CPU 即可。 - -```bash -python3 -m venv .venv -. .venv/bin/activate -python -m pip install -r requirements.txt -python test_self.py -``` - -如只用 CPU，可先按 PyTorch 官方 CPU 索引安装 torch 再安装 requirements，避免下载 CUDA 依赖。HF 下载/上传使用本机 `hf auth login` 或 HF_TOKEN；不要把 token 写入脚本或发布目录。 - -## 1. EgoHOS 真实小试点（不下载 4.5 GB 全包） - -以下命令在本脚本目录运行，所有输出路径可改到大容量磁盘。extracted 是工作区；不在 raw 内解压。 - -```bash -python acquire.py pilot-egohos --out /storage/work/egohos-pilot --per-split 4 -python preprocess.py build --dataset EgoHOS \ - --input /storage/work/egohos-pilot --out /storage/pilot/EgoHOS/shared-v1.0 -``` - -浏览 `/storage/pilot/EgoHOS/shared-v1.0/doc/validation/index.html`（静态 HTML，可直接打开）。下拉框能逐帧查看全部试点样本、源 RGB、shared 解码 RGB、mask、叠加、valid、来源、元信息和缺失原因。请核对左右手、背景编码、细物体边界、四个 split。**只有人实际看过并接受后执行：** - -```bash -python preprocess.py approve --release /storage/pilot/EgoHOS/shared-v1.0 --reviewer '审核者姓名' -``` - -approve 是人工声明记录，不会自行判断人工是否看过。程序不会自动调用 approve。 - -## 2. 原始包下载与工作区解压 - -```bash -python acquire.py download --dataset EgoHOS --raw /storage/EgoHOS/raw -python acquire.py extract --dataset EgoHOS --raw /storage/EgoHOS/raw --out /storage/work/egohos-full - -python acquire.py download --dataset OakInk-v1 --raw /storage/OakInk-v1/raw -python acquire.py extract --dataset OakInk-v1 --raw /storage/OakInk-v1/raw --out /storage/work/oakink-full -``` - -固定 HF commit，并校验来源文档给出的每包大小/SHA256；原始包保持不变。OakInk `.z01`–`.z10` 与最终 `.zip` 是分卷 ZIP，由 7z 从最终 .zip 读取，不用 `cat` 伪拼接。下载约 124 GB，还需解压、编码候选与输出空间；预先准备数百 GB 空间，命令做磁盘预检但不保证压缩率估计准确。提取失败的目录不自动覆盖，诊断后选新目录重跑。 - -## 3. OakInk 试点 - -无需先下载全部 124 GB，也可做有限范围 RGB 小试点（只从首个分卷的前 128 个 PNG 条目中按相机抽样，不代表全数据集随机覆盖）： - -```bash -python acquire.py pilot-oakink-rgb --out /storage/work/oakink-pilot --per-split 2 -python acquire.py fetch-oakink-objects --out /storage/work/oakink-pilot -python preprocess.py build --dataset OakInk-v1 --input /storage/work/oakink-pilot \ - --out /storage/pilot/OakInk-v1/shared-v1.0 --allow-rgb-only -``` - -完整工作区已解压时，当前 HF 没有 anno，若本次范围只接受现有 RGB： - -```bash -python preprocess.py build --dataset OakInk-v1 \ - --input /storage/work/oakink-full --out /storage/pilot/OakInk-v1/shared-v1.0 \ - --allow-rgb-only --per-stratum 4 -``` - -按 camera×split 固定种子抽样，unknown split 明确保留，不随意划分训练集。该结果没有手关键点或手/物逐帧位姿；如果工作区已有 image/obj，会保留静态网格和规范坐标系预览，仍不能作为完整几何交付。 - -若已获可信官方 `anno_v2_1.zip`，先用以下命令校验每成员 CRC、记录文件和原包 SHA256，再解压到同一工作区 `image/anno`： - -```bash -python acquire.py extract-annotations --archive /storage/OakInk-v1/raw/data/image/anno_v2_1.zip \ - --out /storage/work/oakink-full -``` - -该命令要求包内根目录为 anno/，发现不同布局会停止，避免猜错路径。然后运行： - -```bash -python preprocess.py build --dataset OakInk-v1 \ - --input /storage/work/oakink-full --out /storage/pilot/OakInk-v1/shared-v1.0 \ - --annotations /storage/work/oakink-full/image/anno --trust-pickle --split-scheme split0 -``` - -`--trust-pickle` 仅用于可信官方标注，因为 pickle 可执行代码。每条来源记录格式（路径相对 --input；SHA256 填真实结果）： - -```json -{"path":"image/anno/seq_all.json","sha256":"实际文件SHA256","source_locator":{"file":"OakInk-v1/raw/data/image/anno_v2_1.zip","archive_sha256":"实际包SHA256","member":"anno/seq_all.json"}} -``` - -几何路径不会强行把 sbj_flag 0/1 映射成左右手；两人的右手分别在 person0/person1 序列。检查 canonical 网格、相机系关键点/物体点云以及 2D 叠加。模型来源、量纲或关键点定义无法确认时不要 approve。MANO 需要另做模型配置与顶点重建对照，当前不导出。 - -## 4. 试点批准后全量 - -```bash -python preprocess.py build --dataset EgoHOS --phase full \ - --input /storage/work/egohos-full --out /storage/EgoHOS/shared-v1.0 \ - --pilot /storage/pilot/EgoHOS/shared-v1.0 - -python preprocess.py approve --release /storage/pilot/OakInk-v1/shared-v1.0 --reviewer '审核者姓名' -python preprocess.py build --dataset OakInk-v1 --phase full \ - --input /storage/work/oakink-full --out /storage/OakInk-v1/shared-v1.0 \ - --pilot /storage/pilot/OakInk-v1/shared-v1.0 --allow-rgb-only -``` - -OakInk 若试点启用标注，全量也用相同 --annotations、--trust-pickle、--split-scheme，去掉 --allow-rgb-only。chunk、seed、代码、模态范围须与试点一致；变更后须重做试点。输出目录必须不存在。EgoHOS full 强制核对四组完整数量，防止把试点数据当全量。 - -所有视图均逐帧校验视频/数组；全量 HTML 按 split×camera 随机抽取视图并显示所选视图的每一帧，绝不将人工抽检称为全量人工审核。若要浏览所有帧的所有要素（会生成大量 PNG/HTML）： - -```bash -python validate.py /storage/EgoHOS/shared-v1.0 --all --source-root /storage/work/egohos-full -``` - -重新 validate 会使旧人工审核失效。输入、输出、每帧 provenance 与文件 SHA256 均可检查。自动检查只验证实现支持的字段，并不能自动证明数据集原生语义和真实几何正确。 - -## 5. 最终抽检与上传 - -打开全量结果的 doc/validation/index.html，再次人工抽检后： - -```bash -python preprocess.py approve --release /storage/EgoHOS/shared-v1.0 --reviewer '审核者姓名' -python preprocess.py upload --release /storage/EgoHOS/shared-v1.0 - -python preprocess.py approve --release /storage/OakInk-v1/shared-v1.0 --reviewer '审核者姓名' -python preprocess.py upload --release /storage/OakInk-v1/shared-v1.0 -``` - -目标按用户要求固定为 **ParityLab/Hand-Datasets-Raw**，分别是 `EgoHOS/shared-v1.0` 和 **大小写准确的** `OakInk-v1/shared-v1.0`。需要写权限；任何 pilot 都禁止作为正式 shared-v1.0 上传。上传前验证文件哈希，按最多 128 个文件分批提交、文档最后上传；拒绝合并到已经存在的同版本目录，防止留下旧文件。中途失败会保留已提交批次，脚本不会自动覆盖/删除，须核验远端后恢复。未自动上传、未代替用户签署人工审核。 - -## 输出文件 - -- `doc/DATA_MAPPING.md` 与兼容约定文件名 `doc/RAW_TO_SHARED.md`：raw 映射、未纳入内容和原因。 -- `doc/validation/index.html`、预览 PNG、`report.json`：视觉与自动检查。 -- `doc/build.json`：完整命令、源 inventory 摘要、选择策略、处理数。 -- `script/`：本次处理脚本和全部必需支持文件；不包含 venv、token 或 MANO 权重。 -- `data///`：metainfo、frames、MKV、CPU tensor、已选物体资产。 - -测试状态与真实试点范围见随包 `TEST_RESULTS.md`。没有真实标注包时，对几何分支的检查只能算合成端到端检查。 diff --git a/EgoHOS/shared-v1.0/doc/build.json b/EgoHOS/shared-v1.0/doc/build.json deleted file mode 100644 index 4e86e5c0eb3dd91996c56890c9659375bd8773d8..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/doc/build.json +++ /dev/null @@ -1,158 +0,0 @@ -{ - "dataset": "EgoHOS", - "phase": "full", - "recipe": { - "dataset": "EgoHOS", - "chunk": 128, - "seed": 20260928, - "annotations": false, - "split_scheme": "split0", - "code_sha256": { - "preprocess.py": "c5507d5ba4682f8a21ec77f4b9ff4af31fcf473eb98a95280e32b6ae9b9b5f20", - "media.py": "ace183f298d1073ee9d453f13464d58e0be685fe09a3ddd99a78c67b4c7337ec", - "validate.py": "3dc2bdadd89b03ca289673f40f45a724947972880dab6f537fb60354f90cc7b5", - "acquire.py": "1f010b87f6cc13d41058ba5b6b4ac89b4becc9ef4b5a15f887f00842dfdc6993", - "schema.json": "9a34b349ed9315fb0f6ccbe3425e852c971b5a4aaf26a094f4f4df15bfccc091", - "CONTRACT.md": "c34cdf6645f91233cc28d86f8abc82f019f78767d863e225f75722984d9adb19" - } - }, - "inventory_samples": 11743, - "selected_samples": 11743, - "views": [ - "data/test_indomain_1440x1080_000000/ego", - "data/test_indomain_1440x1080_000001/ego", - "data/test_indomain_1440x1080_000002/ego", - "data/test_indomain_1920x1080_000000/ego", - "data/test_indomain_1920x1440_000000/ego", - "data/test_indomain_1920x1440_000001/ego", - "data/test_indomain_2560x1440_000000/ego", - "data/test_indomain_2560x1920_000000/ego", - "data/test_indomain_342x256_000000/ego", - "data/test_indomain_3840x2160_000000/ego", - "data/test_indomain_456x256_000000/ego", - "data/test_indomain_456x256_000001/ego", - "data/test_indomain_640x480_000000/ego", - "data/test_outdomain_1920x1080_000000/ego", - "data/test_outdomain_1920x1080_000001/ego", - "data/test_outdomain_1920x1080_000002/ego", - "data/test_outdomain_1920x1080_000003/ego", - "data/train_1440x1080_000000/ego", - "data/train_1440x1080_000001/ego", - "data/train_1440x1080_000002/ego", - "data/train_1440x1080_000003/ego", - "data/train_1440x1080_000004/ego", - "data/train_1440x1080_000005/ego", - "data/train_1440x1080_000006/ego", - "data/train_1440x1080_000007/ego", - "data/train_1440x1080_000008/ego", - "data/train_1440x1080_000009/ego", - "data/train_1440x1080_000010/ego", - "data/train_1440x1080_000011/ego", - "data/train_1440x1080_000012/ego", - "data/train_1440x1080_000013/ego", - "data/train_1440x1080_000014/ego", - "data/train_1440x1080_000015/ego", - "data/train_1440x1080_000016/ego", - "data/train_1440x1080_000017/ego", - "data/train_1440x1080_000018/ego", - "data/train_1440x1080_000019/ego", - "data/train_1440x1080_000020/ego", - "data/train_1440x1080_000021/ego", - "data/train_1440x1080_000022/ego", - "data/train_1440x1080_000023/ego", - "data/train_1920x1080_000000/ego", - "data/train_1920x1080_000001/ego", - "data/train_1920x1080_000002/ego", - "data/train_1920x1080_000003/ego", - "data/train_1920x1080_000004/ego", - "data/train_1920x1080_000005/ego", - "data/train_1920x1080_000006/ego", - "data/train_1920x1440_000000/ego", - "data/train_1920x1440_000001/ego", - "data/train_1920x1440_000002/ego", - "data/train_1920x1440_000003/ego", - "data/train_1920x1440_000004/ego", - "data/train_1920x1440_000005/ego", - "data/train_1920x1440_000006/ego", - "data/train_1920x1440_000007/ego", - "data/train_1920x1440_000008/ego", - "data/train_1920x1440_000009/ego", - "data/train_1920x1440_000010/ego", - "data/train_1920x1440_000011/ego", - "data/train_1920x1440_000012/ego", - "data/train_1920x1440_000013/ego", - "data/train_1920x1440_000014/ego", - "data/train_1920x1440_000015/ego", - "data/train_2560x1440_000000/ego", - "data/train_2560x1920_000000/ego", - "data/train_2560x1920_000001/ego", - "data/train_2560x1920_000002/ego", - "data/train_2560x1920_000003/ego", - "data/train_2560x1920_000004/ego", - "data/train_2560x1920_000005/ego", - "data/train_342x256_000000/ego", - "data/train_3840x2160_000000/ego", - "data/train_3840x2160_000001/ego", - "data/train_456x256_000000/ego", - "data/train_456x256_000001/ego", - "data/train_456x256_000002/ego", - "data/train_456x256_000003/ego", - "data/train_456x256_000004/ego", - "data/train_456x256_000005/ego", - "data/train_456x256_000006/ego", - "data/train_456x256_000007/ego", - "data/train_456x256_000008/ego", - "data/train_456x256_000009/ego", - "data/train_456x256_000010/ego", - "data/train_456x256_000011/ego", - "data/train_456x256_000012/ego", - "data/train_456x256_000013/ego", - "data/train_640x480_000000/ego", - "data/train_640x480_000001/ego", - "data/train_640x480_000002/ego", - "data/train_640x480_000003/ego", - "data/train_640x480_000004/ego", - "data/val_1440x1080_000000/ego", - "data/val_1440x1080_000001/ego", - "data/val_1440x1080_000002/ego", - "data/val_1920x1080_000000/ego", - "data/val_1920x1440_000000/ego", - "data/val_1920x1440_000001/ego", - "data/val_2560x1440_000000/ego", - "data/val_2560x1920_000000/ego", - "data/val_342x256_000000/ego", - "data/val_3840x2160_000000/ego", - "data/val_456x256_000000/ego", - "data/val_456x256_000001/ego", - "data/val_640x480_000000/ego" - ], - "input_sources_sha256": "05555a3b6dd9ff20fee86ec0f602a888ff916d8ba13349a5e1e9596567e2db4b", - "sample_selection": { - "seed": 20260928, - "per_stratum": 4, - "pilot_strata": "official source split or split x camera" - }, - "source_inventory": { - "sample_ids_sha256": "6c76fd5bb17731986afa7c933290cd4142c879634b6988c54ed86d911ef2277b" - }, - "human_status": "pending", - "command": [ - "outputs/EgoHOS/shared-v1.0/script/preprocess.py", - "build", - "--dataset", - "EgoHOS", - "--phase", - "full", - "--input", - "work/EgoHOS-full/extracted", - "--out", - "outputs/EgoHOS-full/shared-v1.0", - "--pilot", - "outputs/EgoHOS/shared-v1.0" - ], - "limitations": [ - "OakInk MANO conversion not implemented until model-profile and translation parity verified", - "OakInk-Shape/OakBase excluded: object-space grasp/knowledge assets are not synchronized camera observations", - "No source visibility/contact guessed from geometry or masks" - ] -} diff --git a/EgoHOS/shared-v1.0/doc/pilot_human_review.json b/EgoHOS/shared-v1.0/doc/pilot_human_review.json deleted file mode 100644 index eb02884b946700c0de8883c544e02774a1ba4676..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/doc/pilot_human_review.json +++ /dev/null @@ -1,22 +0,0 @@ -{ - "reviewer": "用户（会话确认）", - "phase": "pilot", - "report_sha256": "2b8a2d2fa417f2d4ec440c598952d1ff47ee2b1a97aed11a9bc93d0d05ff23d4", - "recipe": { - "dataset": "EgoHOS", - "chunk": 128, - "seed": 20260928, - "annotations": false, - "split_scheme": "split0", - "code_sha256": { - "preprocess.py": "c5507d5ba4682f8a21ec77f4b9ff4af31fcf473eb98a95280e32b6ae9b9b5f20", - "media.py": "ace183f298d1073ee9d453f13464d58e0be685fe09a3ddd99a78c67b4c7337ec", - "validate.py": "3dc2bdadd89b03ca289673f40f45a724947972880dab6f537fb60354f90cc7b5", - "acquire.py": "1f010b87f6cc13d41058ba5b6b4ac89b4becc9ef4b5a15f887f00842dfdc6993", - "schema.json": "9a34b349ed9315fb0f6ccbe3425e852c971b5a4aaf26a094f4f4df15bfccc091", - "CONTRACT.md": "c34cdf6645f91233cc28d86f8abc82f019f78767d863e225f75722984d9adb19" - } - }, - "approved": true, - "statement": "I inspected the listed HTML sample IDs and accept the documented scope and limitations." -} diff --git a/EgoHOS/shared-v1.0/doc/schema.json b/EgoHOS/shared-v1.0/doc/schema.json deleted file mode 100644 index edb7cf7ce8e8e282d1fbfb5b39ef02a60321d2fb..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/doc/schema.json +++ /dev/null @@ -1,880 +0,0 @@ -{ - "schema_version": "hand-warehouse/1.0", - "validity_revision": "usable-annotation-2026-09-20", - "annotation_validity": { - "meaning": "annotation usable for supervision, not merely record presence", - "formula": "source_annotation_present AND numerical_checks_pass AND applicable_official_QA_pass AND NOT explicitly_reviewed_local_exclusion", - "without_official_qa": "omit QA term; declare source rules; do not fabricate QA", - "policy_field": "components..valid_policy", - "visibility_is_independent": true, - "invalid_float_value": "NaN", - "hot3d": "broadcast per-camera frame manual QA conservatively to hand/object labels and pose-derived visibility; retain RGB and source calibration; keep native QA in raw and review report", - "hot3d_visibility": "native visibility_ratio[%] already ranges from 0 to 1; do not divide by 100" - }, - "hand_slots": [ - "left", - "right" - ], - "view_metadata": { - "required_fields": [ - "view_type" - ], - "view_type_values": [ - "ego", - "exo", - "unknown" - ], - "view_type_policy": "required per camera view; use ego or exo whenever the source data or capture setup establishes the viewpoint; use unknown only when no trustworthy source determines it; never omit or guess" - }, - "keypoints": { - "mano21/v1": { - "count": 21, - "names": [ - "wrist", - "thumb_1", - "thumb_2", - "thumb_3", - "thumb_4", - "index_1", - "index_2", - "index_3", - "index_4", - "middle_1", - "middle_2", - "middle_3", - "middle_4", - "ring_1", - "ring_2", - "ring_3", - "ring_4", - "little_1", - "little_2", - "little_3", - "little_4" - ], - "source_index_map": null, - "note": "adapter maps official MANO joint and fingertip convention" - }, - "rhd21/v1": { - "count": 21, - "names": [ - "wrist", - "thumb_1", - "thumb_2", - "thumb_3", - "thumb_4", - "index_1", - "index_2", - "index_3", - "index_4", - "middle_1", - "middle_2", - "middle_3", - "middle_4", - "ring_1", - "ring_2", - "ring_3", - "ring_4", - "little_1", - "little_2", - "little_3", - "little_4" - ], - "source_index_map_per_hand": [ - 0, - 4, - 3, - 2, - 1, - 8, - 7, - 6, - 5, - 12, - 11, - 10, - 9, - 16, - 15, - 14, - 13, - 20, - 19, - 18, - 17 - ] - } - }, - "camera": { - "opencv_fisheye4": { - "K": [ - 3, - 3 - ], - "distortion": [ - "k1", - "k2", - "k3", - "k4" - ], - "projection": "theta=atan(r); theta_d=theta*(1+k1*theta^2+k2*theta^4+k3*theta^6+k4*theta^8); source ReInterHand" - }, - "pinhole": { - "K": [ - 3, - 3 - ] - }, - "fisheye624": { - "parameters": [ - "f", - "cx", - "cy", - "k0", - "k1", - "k2", - "k3", - "k4", - "k5", - "p0", - "p1", - "s0", - "s1", - "s2", - "s3" - ] - }, - "rational8": { - "K": [ - 3, - 3 - ], - "distortion": [ - "k1", - "k2", - "p1", - "p2", - "k3", - "k4", - "k5", - "k6" - ] - } - }, - "segmentation": { - "segment/uint16_labels/v1": { - "storage": "mask.mkv", - "dtype": "uint16", - "mapping": "instances.jsonl", - "valid_shape": [ - "T" - ], - "required_metadata": [ - "segmentation_type", - "coverage", - "mapping_ref", - "storage" - ], - "shape": [ - "T", - "H", - "W" - ], - "reserved_codes": { - "0": "unassigned", - "65535": "ignore" - }, - "region_codes": [ - 1, - 65534 - ], - "allowed_storage_profiles": [ - "mkv/uint16_ffv1/v1" - ] - }, - "segment/instance_polygons/v1": { - "storage": "polygons.jsonl", - "mapping": "instances.jsonl", - "frame_keys": [ - "frame_index", - "instances" - ], - "instance_keys": [ - "mask_value", - "polygons" - ], - "coordinate_unit": "pixel", - "overlap_allowed": true, - "valid_shape": [ - "T" - ], - "required_metadata": [ - "segmentation_type", - "coverage", - "mapping_ref" - ], - "polygon_shape": [ - "N", - 2 - ], - "holes_supported": false - }, - "segment/foreground_intensity/v1": { - "storage": "mask.mkv", - "dtype": "uint16", - "value_range": [ - 0, - 255 - ], - "normalization_scale": 0.00392156862745098, - "axes": [ - "T", - "height", - "width" - ], - "meaning": "native hand foreground intensity; individual hand or union declared in metadata; not instance codes or calibrated probability", - "zero": "background", - "full_scale": "foreground", - "mapping": "foreground_category in component metadata", - "valid_shape": [ - "T" - ], - "required_metadata": [ - "segmentation_type", - "coverage", - "value_range", - "normalization_scale", - "foreground_category", - "entity_id", - "storage" - ], - "shape": [ - "T", - "H", - "W" - ], - "allowed_storage_profiles": [ - "mkv/uint16_ffv1/v1" - ] - } - }, - "note": "Registry for hand-warehouse/1.0. Read CONTRACT.md for field semantics. 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a/EgoHOS/shared-v1.0/doc/validation/human_review.json +++ /dev/null @@ -1,22 +0,0 @@ -{ - "reviewer": "用户（会话确认）", - "phase": "full", - "report_sha256": "5a668e8394411a324d6c4abf30236427163a3c4cbf4d7fcce7a07662f96f3944", - "recipe": { - "dataset": "EgoHOS", - "chunk": 128, - "seed": 20260928, - "annotations": false, - "split_scheme": "split0", - "code_sha256": { - "preprocess.py": "c5507d5ba4682f8a21ec77f4b9ff4af31fcf473eb98a95280e32b6ae9b9b5f20", - "media.py": "ace183f298d1073ee9d453f13464d58e0be685fe09a3ddd99a78c67b4c7337ec", - "validate.py": "3dc2bdadd89b03ca289673f40f45a724947972880dab6f537fb60354f90cc7b5", - "acquire.py": "1f010b87f6cc13d41058ba5b6b4ac89b4becc9ef4b5a15f887f00842dfdc6993", - "schema.json": "9a34b349ed9315fb0f6ccbe3425e852c971b5a4aaf26a094f4f4df15bfccc091", - "CONTRACT.md": "c34cdf6645f91233cc28d86f8abc82f019f78767d863e225f75722984d9adb19" - } - }, - "approved": true, - "statement": "I inspected the listed HTML sample IDs and accept the documented scope and limitations." -} diff --git a/EgoHOS/shared-v1.0/doc/validation/index.html b/EgoHOS/shared-v1.0/doc/validation/index.html deleted file mode 100644 index 5e781c4bb95df3f00e578de8aa0743a372d5ff71..0000000000000000000000000000000000000000 --- a/EgoHOS/shared-v1.0/doc/validation/index.html +++ /dev/null @@ -1,14 +0,0 @@ -手物数据预处理检验 - -

手物数据预处理检验

待人工审核。自动无损校验通过 ≠ 标注语义或几何已获人工确认。只展示本报告列出的抽检样本；全量报告最多展示 192 帧。未提供模态及原因在元信息中明确列出。

-

检查：源图与解码 RGB、左右手、标签颜色、源文件定位、valid、相机参数；有几何时检查 2D 投影和可旋转 3D 点云。绿色为手关键点，黄色为物体。3D 点云仅为显示抽样，完整模型见 data。

- -

源 RGB
源文件固定解码 RGB
处理后 RGB
shared MKV 解码 RGB
分割或几何叠加
分割 / 手关键点 / 物体叠加
语义标签图
标签图：1 左手红；2 右手蓝；3–8 交互物体；9 源背景灰
-

相机系 3D（拖动旋转）

物体规范坐标系 3D（拖动旋转）

-
逐帧来源、时间与 split
所有数值标注与有效性
所有组件 / 缺失原因 / 相机 / 存储与映射

-
diff --git a/EgoHOS/shared-v1.0/doc/validation/report.json b/EgoHOS/shared-v1.0/doc/validation/report.json
deleted file mode 100644
index 38cff01abe61d0553beacbcd2c0f9edc9704b1c8..0000000000000000000000000000000000000000
--- a/EgoHOS/shared-v1.0/doc/validation/report.json
+++ /dev/null
@@ -1,2005 +0,0 @@
-{
-  "dataset": "EgoHOS",
-  "phase": "full",
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-      "CONTRACT.md": "c34cdf6645f91233cc28d86f8abc82f019f78767d863e225f75722984d9adb19"
-    }
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-  "automatic_validation_passed": true,
-  "human_review": "pending",
-  "all_views_checked": 106,
-  "all_frames_checked": 11743,
-  "numeric_scope": "every component, frame, shape, validity, registered schema and exact video decoded hash",
-  "visual_scope": "all available modalities; deterministic frame samples from selected views",
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-    "data/val_1920x1440_000000/ego",
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-  },
-  "limitations": [
-    "OakInk MANO conversion not implemented until model-profile and translation parity verified",
-    "OakInk-Shape/OakBase excluded: object-space grasp/knowledge assets are not synchronized camera observations",
-    "No source visibility/contact guessed from geometry or masks"
-  ]
-}
diff --git a/EgoHOS/shared-v1.0/script/CONTRACT.md b/EgoHOS/shared-v1.0/script/CONTRACT.md
deleted file mode 100644
index e80d21a1c4af1bfaa2f429b3395a4304e6af6eb0..0000000000000000000000000000000000000000
--- a/EgoHOS/shared-v1.0/script/CONTRACT.md
+++ /dev/null
@@ -1,459 +0,0 @@
-# 手物数据仓库统一约定 v1.0
-
-格式版本：`hand-warehouse/1.0`。存储约定：`lossless-video-2026-09-18`。
-
-范围限于手物交互重建。按本任务纳入的源模态转换，不要求每个数据集填满所有组件。缺失模态、尚未下载、语义未核实分别报告，不能互相替代。
-
-shared 层不是 raw 的完整镜像。处理者只需提取本次任务范围明确要求、语义已经核实且能够按本规范可靠转换的字段和模态。raw 中其余字段可以不纳入 shared，但必须在 `RAW_TO_SHARED.md` 中列出主要未纳入内容及原因。不得为了覆盖全部 raw 字段而猜测语义、虚构模态或保存未经定义的字段。未纳入 shared 不等于源数据不存在，原始信息仍以 raw 为准。
-
-本文定义各字段的含义与使用规则，机器可读注册表见 [schema.json](schema.json)。两者互相补充；如有冲突，应先核实并统一定义。
-
-## 1. 目录
-
-```text
-hand-datasets/
-  /
-    raw/
-      doc/                         # 官方说明、来源与校验记录
-      script/                      # 官方下载脚本、必要包装脚本
-      data/                        # 保留原始包，不原地解压或改写
-    /
-      doc/                         # 发布说明、schema、来源清单
-      script/                      # 转换、校验脚本及运行配置
-      data/
-        /
-          /
-            metainfo.json
-            observation/
-              rgb.mkv
-              rgb_valid.pt
-              depth.mkv           # float32 深度的可逆视频编码
-              depth_valid.mkv     # 逐像素 bool 的无损视频编码
-            camera/
-              frames.jsonl
-              intrinsic.pt
-              intrinsic_valid.pt
-              extrinsic.pt
-              extrinsic_valid.pt
-            annotation/
-              mano/
-                motion.pt
-                motion_valid.pt
-                visibility.pt
-              keypoints/
-                uv.pt
-                uv_valid.pt
-                xyz.pt
-                xyz_valid.pt
-                visibility.pt    # 源数据有时提供
-              object/
-                /
-                  assets/          # 该物体的网格、材质、纹理及部件资产
-                    .obj
-                  pose.pt
-                  pose_valid.pt
-                  visibility.pt
-                  metainfo.json    # 物体身份、类别、mesh、尺寸与部件引用
-                  articulation.json
-                  keypoints/
-                  vertex_part_ids.pt
-                  joint_state.pt
-                  joint_state_valid.pt
-                  parts//pose.pt
-                  parts//pose_valid.pt
-              segment/
-                mask.mkv
-                mask_valid.pt
-                instances.jsonl
-              contact/
-                relations.jsonl
-                __/  # 对应实体间的距离/接触区域
-```
-
-目录展示可能存在的组件，不要求填满。具体文件、字段和缺省规则分别见后续对应小节。原始包的解压发生在临时工作区，raw 内原始包保持不变。
-
-## 2. 相机视图的 metainfo.json
-
-### 2.1 顶层字段与发布信息
-
-每个相机视图必须有 `metainfo.json`。以下字段除另行说明外均为必填：
-
-| 字段 | 填写内容 |
-|---|---|
-| schema_version | 结构版本，本版为 `hand-warehouse/1.0` |
-| dataset_id | 数据集的逻辑标识 |
-| release_id | 本次数据发布版本，对应目录中的 dataset_version |
-| sequence_id | 所属序列或独立图片样本的标识 |
-| camera_id | 当前相机视图标识 |
-| sample_type | `image` 或 `video`，规则见 2.2 |
-| num_frames | 当前视图帧数 T，所有随帧组件按同一时间轴组织 |
-| hand_slots | 固定为 `["left", "right"]`；解剖学左右的使用规则见 5.1 |
-| sampling | 采样类型、源 FPS、帧索引引用及选择策略，见 2.2 |
-| camera | 当前相机模型与图像尺寸，见 2.3 |
-| components | 实际提供的组件及其文件、schema、有效性和来源，见 2.5 |
-| split | `train/val/test/unknown`，划分协议见 2.4 |
-| view_type | 必填，固定为 `ego/exo/unknown`。源数据或采集设置明确相机视角时必须填写 `ego` 或 `exo`；只有无法从可信来源确定时才填写 `unknown`，不得省略或主观猜测。多相机序列须逐视图分别填写。 |
-
-`dataset_version` 是数据发布版本；`schema_version` 是结构版本，两者独立。原始包校验摘要、官方来源和转换配置应记录在发布清单中。解压发生在临时工作区，原始包保持不变。
-
-### 2.2 图片、视频与 sampling
-
-`sample_type=image`：允许单图 T=1、`sampling.type=single`，也允许将独立图片批量装入一个视频容器，T>1 时 `sampling.type=independent`、`source_fps=null`。分片大小按数据集选择；FreiHAND 默认每片最多 4096 张，训练与评估分开，尾片不补帧。该数量不是其他数据集的强制要求；同批分辨率、相机模型类型及划分协议一致。每行 frames 必须有稳定且唯一的 `sample_id`、原始文件定位；内参、手形状等仍逐帧保留，不能因打包而共享错误的标定或身份。`sequence_id` 在这里仅是批次标识，不代表真实序列；不得按相邻帧推断跟踪、同步或接触延续。源 camera_id、image_variant、split 等随样本变化时放在 frames 的对应字段中。真实采集时间未知则 timestamp_ns=null。合成背景变体不视为真实多相机。
-
-`sample_type=video`：`sampling.type=dense/sparse`；`source_fps` 是真实采集 FPS，未知为 null。非连续取样必须保留源帧号和已知源时间，不可用采样后索引除以 FPS 冒充源时间。可另记采样策略与步长。
-
-shared 可以仅存所选 RGB 帧对应的数据。OakInk2 图像/动捕不同采样率时用 annotation_matches 明确映射；不要求将未采样动捕点硬塞进 T。多视角身份和源同步关系要保留；选择了哪些帧/相机及原因写在 sampling 中。
-
-`sampling.frames_ref` 指向 `camera/frames.jsonl`。帧号、逐帧时间、同步与标注匹配记录的结构见 4.1；MKV 封装时间的约定见 3.1。
-
-### 2.3 camera 模型声明
-
-`camera` 至少包含 `model`、`schema_id`、`image_size:[W,H]`。模型未知使用 `unknown` 和 `null`，不猜成针孔。实际内参、畸变及外参数组放在 `camera/`，各模型的固定结构见第 4 节。
-
-### 2.4 split 与划分协议
-
-保留上游划分，不将同一采集序列的相邻帧随意拆到不同集合。
-
-有官方划分时必填 split_scheme 和 split_source_locator，split_scheme 区分如 Dex-YCB s0/s1、ARCTIC P1/P2 等选定协议；不知道时 split=unknown 并给理由，不凭空分配。每发布可选择一种协议；存在逐帧差异时 frames 中的 split 覆盖视图默认值，并登记其来源。
-
-### 2.5 components 组件登记
-
-组件表的键是本发布内唯一名称，例如 `rgb`、`depth`、`mano`、`keypoints_uv`。每个已提供组件声明以下信息；模态特有参数在第 3–5 节对应小节中定义。
-
-| 字段 | 约定 |
-|---|---|
-| available | 本发布是否提供该组件；缺省也表示未提供 |
-| schema_id | 已登记的具体存储与语义类型，不得临时创造未登记名称 |
-| data_ref | 数据文件路径，相对当前相机视图根目录，使用 POSIX 路径 |
-| axes | 数组各维度的含义 |
-| valid_ref / valid_axes | 有效性文件及其维度；语义由所属组件规定 |
-| storage / valid_storage | 视频数据／视频有效性的存储配置；包含已登记 profile、实际 codec、pixel_format、encoded_size，见 3.1；非视频组件按原数组规则 |
-| provenance | source / format_conversion / derived，以及转换或生成方法 |
-| source_locator | 原文件、压缩包成员和记录／帧的定位信息 |
-
-不存在的组件允许缺省或写作 `{ "available": false, "reason": "..." }`，不用引用不存在的文件。静态网格可声明标量有效性；具体见 5.4。观测的 valid 见第 3 节，标注的 valid 与 visibility 区分见 5.1。
-
-`provenance.kind` 使用 source/format_conversion/derived，`method` 说明转换或生成方法；发布清单补充脚本版本、参数、输入摘要。`source_locator` 定位到原始文件/压缩包成员和记录、帧号；允许引用有完整溯源清单的前一发布，但链条最终应能回到 raw。不得仅写一个无法定位记录的数据集名字。
-
-`.pt` 仅保存 CPU Tensor，不保存 Python 自定义对象；浮点默认 float32，有效性为 bool，浮点无效位置填 NaN。所有随帧数组保留首维 T，单帧也不 squeeze；静态资产按其 schema 单独声明。单位、坐标及固定形状见各组件小节。
-
-机器注册表 `schema.json` 中，`components` 固定解码后的数据类型、形状、单位和语义；`storage_profiles` 固定视频内的编码／还原方式。不得临时创造未登记的 schema_id 或 storage.profile。同一语义允许选择其登记的不同无损存储 profile。
-
-## 3. observation 观测数据
-
-### 3.1 rgb.mkv 与 rgb_valid.pt
-
-RGB、深度和栅格 mask 在 shared 中统一使用 MKV 视频容器，不展开为逐帧图片或图像 tar。MANO、关键点、位姿等数值标注仍用数组；分割的重叠多边形仍用 JSONL，不为了视频化而有损栅格化。单图可为一帧视频，独立图批量封装规则见 2.2。
-
-**无损指共享层不增加信息损失。** 源 JPEG／H.264 等本身可能已是有损编码，原样保留并不恢复已丢失信息；不得重新以有损 JPEG、H.264、H.265、AV1 参数编码。源视频／图片的色彩、位深、分辨率和几何关系不得被静默改变。RGB schema `rgb/uint8/v1` 的统一读取结果是 `[T,H,W,3] uint8`、RGB 通道，有效性仍为 `rgb_valid.pt [T] bool`。超出该 schema 的高位深或 HDR 源必须报告并扩展定义，不能降到 8 位冒充无损。
-
-#### 3.1.1 允许的 RGB 存储 profile
-
-| storage.profile | 编码方式 | 适用规则 |
-|---|---|---|
-| mkv/mjpeg_copy/v1 | 源 JPEG 压缩帧直接封装成 MJPEG/MKV | 不解码重编码；保持每张 JPEG 码流字节；普通 8 位 JPEG 且 MKV/解码器支持时使用 |
-| mkv/source_copy/v1 | 已有视频的 RGB 对应码流直接封装为 MKV | 仅源编码能被 MKV 和选定解码器支持时使用，不伪造帧；需维持正确的呈现顺序与依赖帧 |
-| mkv/h264_rgb_lossless/v1 | libx264rgb 的真正无损模式 | 必须 RGB 路径、CRF=0，并通过全帧 RGB 字节比较；不能替换成默认 libx264 YUV420 路径 |
-| mkv/ffv1_rgb/v1 | FFV1 的 RGB 可逆编码路径 | 作为通用候选；解码回 RGB 后必须逐字节相同，不做色度降采样 |
-
-优先尝试源码流直接封装；不能封装或需要选择稀疏帧时，比较 FFV1 与无损 RGB H.264。对完整待发布片段，只在通过无损验收的候选中选择文件较小者，不假设某个编码器总最小；编码时间和随机读取代价记入构建记录。中间候选不作为 shared 多份常驻。H.264 跨帧压缩允许较长 GOP，必须记录 GOP／关键帧间隔，随机取帧需从前一关键帧正确解码，不能把 seek 返回的近似帧当目标帧。
-
-普通源视频可以保留它已有的有损码流，但不允许新增有损重编码。源是 VRS 等记录容器时，先查明图像流实际编码：已有兼容 JPEG／视频包可直接提取封装，否则解码后使用真正无损编码；不把整个 VRS 改后缀当 MKV。PNG 不要求直接塞进 MKV，可选上表两种无损重编码方式。
-
-#### 3.1.2 视频配置与校验
-
-每个视频组件在 metainfo 中登记 `storage`，至少包含：
-
-| 字段 | 内容 |
-|---|---|
-| profile | 上述登记的存储 profile；语义仍由组件 schema_id 指定 |
-| codec | 文件中实际 codec，例如 mjpeg、h264、ffv1；source_copy 必须写实际 codec |
-| pixel_format | 实际编码像素格式；不得仅凭编码器参数猜测 |
-| encoded_size | 视频物理像素尺寸 `[width,height]`；深度可能不同于逻辑尺寸，见 3.2 |
-| decoder | 解码器名称、版本，以及颜色矩阵／范围／旋转处理等实际像素解释配置；未知的源色彩声明 unknown，不擅自称为 sRGB |
-| encoder_parameters | 重编码时的编码器、版本、无损模式和 GOP 等参数；直接封装时记录 stream_copy |
-| source_lossy | 源是否已有损：true / false / unknown；不是共享层再有损编码的许可 |
-
-无损重新编码的 RGB 必须使用同一固定解码配置，比较**全部帧**的统一 RGB 字节、数量及顺序。MJPEG-copy 不重新编码，生产校验采用 `jpeg-packets-all-rgb-sample16/v1`：从 MKV 逐包取回，对全部源 JPEG 的 SHA256、数量、顺序和图像尺寸进行精确核对；每视图另用同一固定解码配置比较最多 16 帧的源与目标 RGB 字节（含首尾与四分位位置，其余由固定种子抽取）。记录策略、实际索引、种子与结果；不足 16 帧时全查。试点与最终完整序列随机抽查，对选中视图的全部帧复核解码 RGB。历史已做全帧像素检查的证明继续保留。
-
-逐包一致与像素抽查的范围必须分别声明，不能将抽查写成全量像素检查。不能用 PSNR 高、视觉相似、编码器参数称为 lossless 等替代精确检查。同时保留源编码的色彩标记和必要元数据；原图有 EXIF/色彩/方向等元数据时保留 raw 和必要来源信息；不能静默自动旋转图像而不更新像素对应与标定。以上加速策略仅适用于原 JPEG 码流直接封装，不适用于深度、标签或重新编码的 RGB。
-
-所有共享视频的呈现帧顺序与统一 frame_index 一一对应，每个栅格组件恰好 T 帧。MKV 的 `storage_fps` 只服务封装，声明 `timebase_role=index_only`；source_copy 可以保留源 PTS 以避免改坏码流，但真实时间与标注对齐仍以 frames 为准。未知真实时间保留 null。缺失某帧组件时保留索引位置并使用该组件的无效占位／valid 标识，不删帧；不能以重复相邻图像冒充已知观测。
-
-### 3.2 depth.mkv 与 depth_valid.mkv
-
-深度语义仍是 `depth/z_float32/v1`：统一读取结果 `[T,H,W] float32`，米制相机 Z 分量，`depth_type=z`。有效深度有限且大于 0，无效位置为 NaN。`depth_origin=measured/rendered/unknown` 必填，来源不明时 unknown。默认与 RGB 共用像素网格及相机参考系，不处理未注册 RGB-D。射线距离必须依据源定义转换成 z，不能只改声明。
-
-#### 3.2.1 float32 的可逆视频编码
-
-采用 `mkv/depth_float32_bits/v1`：**不是把深度量化成 uint16**，而是将规范化后每个 IEEE-754 float32 的完整 32 位拆成两个 uint16，使用 FFV1 gray16le 保存。视频物理尺寸为 `[2W,H]`：每行前 W 列存原 float32 位串的低 16 位，后 W 列存高 16 位。读取时先合并为 uint32 位串，再按 float32 重新解释，不能数值 cast 成 float32。
-
-```text
-u = reinterpret_uint32(depth_float32)
-encoded[:, :, :W] = uint16(u & 65535)
-encoded[:, :, W:] = uint16(u >> 16)
-u_restored = uint32(low) | (uint32(high) << 16)
-depth_float32 = reinterpret_float32(u_restored)
-```
-
-统一采用 little-endian 原始字节接口。`camera.image_size` 始终是逻辑 RGB 尺寸 `[W,H]`，不能改成编码视频的 2W；`storage.encoded_size=[2W,H]`。包括 NaN 在内的 float32 位串必须全帧完全恢复，不允许改成 float16、整数毫米、归一化灰度或 RGB 伪彩色。这里的无损验收基准是完成既定米制／坐标转换后的标准 float32 数组，不声称消除 float64→float32 等原约定转换本身的舍入。
-
-#### 3.2.2 逐像素有效性
-
-`depth_valid.mkv` 使用 `mkv/bool_ffv1/v1`，FFV1 gray8（FFmpeg pixel_format=`gray`），物理尺寸 `[W,H]`。像素只能为 0 或 1，统一解码为 `[T,H,W] bool`，逐像素含义不变。这样不再把庞大的 bool 数组保存为未压缩 `.pt`；标注的帧级／手级 valid 仍保留原有小数组。
-
-登记示例（W、H 以下取 640、480；decoder/encoder_parameters 的实际版本由转换器填写）：
-
-```json
-{
-  "available": true,
-  "schema_id": "depth/z_float32/v1",
-  "data_ref": "observation/depth.mkv",
-  "axes": ["T", "height", "width"],
-  "valid_ref": "observation/depth_valid.mkv",
-  "valid_axes": ["T", "height", "width"],
-  "unit": "m",
-  "depth_type": "z",
-  "depth_origin": "measured",
-  "invalid_value": "NaN",
-  "storage": {
-    "profile": "mkv/depth_float32_bits/v1",
-    "codec": "ffv1",
-    "pixel_format": "gray16le",
-    "encoded_size": [1280, 480],
-    "source_lossy": false,
-    "decoder": {"name": "ffmpeg", "version": "填写实际版本"},
-    "encoder_parameters": {"name": "ffv1", "level": 3, "version": "填写实际版本"}
-  },
-  "valid_storage": {
-    "profile": "mkv/bool_ffv1/v1",
-    "codec": "ffv1",
-    "pixel_format": "gray",
-    "encoded_size": [640, 480],
-    "source_lossy": false,
-    "decoder": {"name": "ffmpeg", "version": "填写实际版本"},
-    "encoder_parameters": {"name": "ffv1", "version": "填写实际版本"}
-  },
-  "provenance": {"kind": "format_conversion", "method": "源深度转米制 z float32；逐位打包为 FFV1"},
-  "source_locator": {"file": "raw/data/depth.zip", "member": "depth/0001.png"}
-}
-```
-
-深度和有效性视频都必须逐帧解码验收：float32 位串相同、bool 相同、T 相同，并检查 valid=true 的正有限值和 valid=false 的 NaN。读取器必须按 profile 还原，不能把 depth.mkv 的编码像素直接当深度值。
-
-## 4. camera 相机、帧索引与标定
-
-### 4.1 frames.jsonl：索引、时间与对应关系
-
-`camera/frames.jsonl` 每行对应统一帧号 `frame_index=0..T-1`，是所有组件的唯一行索引。至少包含 `frame_index`、`timestamp_ns`、`clock_domain`、`source_locator`；原始帧号/文件名保存在 `source_frame_id`，不能被新帧号替代。每行还可有 `annotation_matches`，按组件键保存 `source_frame_id`、`source_timestamp_ns`、`clock_domain`、`match_method` 和 `delta_ns`；方法为 exact/index_map/nearest/interpolated，索引映射无时间依据时 delta_ns=null。nearest 必须记录允许误差；interpolated 必须记录两端源标识和权重。delta_ns 仅在同一时间域中计算为源标注时间减图像时间。多相机共享 `sequence_id`；已知同步关系必须用 `sync_id` 或明确的源帧/时间映射表达，不能仅凭相同数组索引认定同步。
-
-每个视图必须提供此文件。源时间使用整数纳秒及 `clock_domain`，未知写 JSON `null`；不同时间域不能直接比较。逐帧 split 可以覆盖 metainfo 的视图默认划分，并保留来源，见 2.4。
-
-### 4.2 坐标系与标定通则
-
-| 项目 | 统一约定 |
-|---|---|
-| 相机坐标 | 右手系，X 向右、Y 向下、Z 向前，长度单位米 |
-| 齐次变换 | 列向量，`p_target = T_target_from_source @ p_source` |
-| 图像坐标 | `(u,v)`；左上像素中心为 `(0,0)`，u 向右、v 向下，单位 pixel |
-| 固定标定 | 本版展开为 T 份，同一 schema 不混用静态与动态形状 |
-| 分辨率或模型变化 | 分开存储为视图／片段，不在同一组件中混装 |
-| 未知标定 | 相机内外参允许缺省，不填单位阵冒充已知标定 |
-
-### 4.3 intrinsic.pt 与畸变参数
-
-| model / schema_id | intrinsic.pt 的固定结构 |
-|---|---|
-| pinhole / camera/pinhole/v1 | `[T,3,3]`，标准 K，最后一行为 `[0,0,1]`；限无畸变或已校正图像 |
-| fisheye624 / camera/fisheye624/v1 | `[T,15]`，`[f,cx,cy,k0,k1,k2,k3,k4,k5,p0,p1,s0,s1,s2,s3]`，采用 Project Aria Fisheye624 投影定义 |
-| opencv_fisheye4 / camera/opencv_fisheye4/v1 | `intrinsic.pt [T,3,3]` 保存 K；同组件 `distortion_ref` 指向 `[T,4]`，顺序 `[k1,k2,k3,k4]`，使用 OpenCV fisheye 等距角度多项式；已由 ReInterHand 实际原始相机参数验证 |
-| rational8 / camera/rational8/v1 | `intrinsic.pt [T,3,3]` 保存 K；同组件必需 `distortion_ref` 指向 `[T,8]`，顺序 `[k1,k2,p1,p2,k3,k4,k5,k6]` |
-| unknown / null | 不提供可用 intrinsic，不声称可以投影 |
-
-有畸变的其他模型必须注册新 schema，固定参数名、顺序和投影公式；不能塞进针孔 K 后遗失畸变项。`metainfo.camera.schema_id` 必须与 intrinsic 组件一致。同一模型的别名不可隐式改变参数布局。
-
-`opencv_fisheye4`：对前方点令 `x=X/Z, y=Y/Z, r=sqrt(x²+y²), theta=atan(r)`，`theta_d=theta*(1+k1*theta²+k2*theta⁴+k3*theta⁶+k4*theta⁸)`；`u=fx*x*theta_d/r+cx, v=fy*y*theta_d/r+cy`。光轴 r=0 时使用连续极限 `theta_d/r=1`。四系数不能按普通径向畸变解释，也不能补零冒充 Fisheye624。
-
-rational8 对归一化坐标 x=X/Z、y=Y/Z，令 r²=x²+y²，径向项为 `(1+k1*r²+k2*r⁴+k3*r⁶)/(1+k4*r²+k5*r⁴+k6*r⁶)`；再加 p1/p2 切向项并经 K 得到像素。`distortion_ref` 与 intrinsic 共用 `[T]` valid，保存到 camera/distortion.pt。不得把这种畸变三维坐标当作真实相机系 xyz 保存。
-
-内参有效性为 `intrinsic_valid.pt [T] bool`；有畸变时使用对应 `distortion_ref`。同一模型的参数名和顺序固定。
-
-### 4.4 extrinsic.pt 与 extrinsic_valid.pt
-
-`extrinsic.pt` 为 `[T,4,4]`，schema `transform/se3/v1`，方向固定 `T_camera_from_world`，有效性 `[T]`。世界坐标含义及源坐标转换记录在 provenance 中；只有相机坐标标注不要求虚构世界坐标。旋转块须正交且 determinant≈1。
-
-## 5. annotation 标注数据
-
-### 5.1 标注通则：手槽、valid 与 visibility
-
-手槽固定为 0=left、1=right，指解剖学左右，不按画面位置或可见性重排。本阶段只处理左右手两槽，不处理更多手。实体引用使用 `hand_left`、`hand_right`；手槽不证明跨采集片段的个人身份。
-
-#### 5.1.1 valid：标注是否可用于监督
-
-标注的 `valid=true` 表示：有对应实际标注、通过本 schema 数值检查，且通过来源明确提供并适用于该组件的有效性/QA 条件。`valid=false` 可由缺标注、无法建立帧对应、源无效占位或官方 QA 不通过导致；不等于画面没有手或手不可见。各组件独立判断，MANO 按 `[T,2]` 标记左右手，关键点按 `[T,2,K]` 标记。
-
-**2026-09-20 将标注 valid 从“仅表示存在”修订为“可用于监督”，字段形状不变。** 公式为 `source_annotation_present AND numerical_checks_pass AND applicable_official_QA_pass`。没有官方 QA 时省略最后一项，不伪造 QA；不能把未知当成已通过已存在的 QA。适配器在组件 `valid_policy` 中记录具体规则、来源、聚合/广播作用域。缺失官方必需 QA 的记录须明确处理为未知或暂停验收，不能静默通过。无效浮点项仍填 NaN，原始数据保留在 raw；被排除原值可用于 doc 中明确标识的诊断渲染，不能冒充 shared 有效监督。
-
-本地筛选须依据明确的规则，并在 `valid_policy.local_excluded_frame_indices`、排除原因和正式报告中记录。单个可疑投影作为问题记录，不直接硬编码排除该帧。已确认的曝光异常须明确作用范围，不能把一个序列的“前两帧有问题”套到所有序列。RGB 编码完好与几何监督可用是两件事，允许保留原图及帧索引而屏蔽对应标注；未发现问题不等于完成全部人工审核，试点待确认时不能作为已验收发布使用。
-
-源字段必须按官方语义映射，不能直接按名字复制：
-
-| 来源 | 官方含义 | 映射原则 |
-|---|---|---|
-| [H2O](https://github.com/taeinkwon/h2odataset) 的手标注首位 | 0 未标注、1 已标注 | 可作为对应手标注存在性的依据，不推断未标注原因 |
-| [HOT3D](https://github.com/facebookresearch/hot3d#using-mask-files) 的 pose_available、visible、mask_qa_pass | 分别表达姿态存在、可见性、对画面中可见手物位姿的人工 QA | 逐手/物体记录决定存在性，再 AND 当前相机当前帧 QA；QA 是整帧聚合判定，保守排除该帧全部手物几何监督，不声称每个实体均有错误；源可见性基于位姿推导时，其自身 valid 同样受 QA 约束 |
-| [Dex-YCB](https://github.com/NVlabs/dex-ycb-toolkit#loading-dataset-and-visualizing-samples) 的全零 pose_m、全 -1 joints | 不可见的手或缺标注共用占位表示 | 对应组件 valid=false；不能从该值判定 visibility=false，也不能声称原因是动捕缺失 |
-| [ARCTIC](https://github.com/zc-alexfan/arctic/blob/master/docs/data/data_doc.md) 的 is_valid/left_valid/right_valid | 是否有效用于官方评估 | 核实每项筛选依据；不把可见性/评估选择直接等同 QA。本次原始 mano.npy 不含这些派生评估标记，按原记录与数值检查生成 valid，并声明没有额外官方 QA 输入 |
-
-源 valid=false 若代表评估筛选或其他条件，应检查实际标注和源约定后映射；不能一律清空坐标。反之，占位零或 -1 只有在源官方明确规定时才判为缺失，不泛化成所有数据的判断规则。
-
-`valid=true` 的标注应通过其 schema 的数值与形状检查；检查失败必须报告或修复，不能静默隐藏。QA 不通过应报告排除数量与原因，并保留可追溯信息；不能把这类无效称为缺标注。RGB、深度等观测有效性仍按各自 schema；手物 QA 不自动否定 RGB、静态相机内参或物体资产。相机外参是否过滤须依据其自身来源规则；HOT3D 本次保留源外参用于溯源和诊断，不能用其存在性证明 QA 失败帧的几何监督正确。
-
-#### 5.1.2 visibility：可见性属性
-
-附加质量属性只保留 `visibility`，存放在对应模态或标注集内，不设 quality 目录。同一份可见性仅存一次；uv 与 xyz 共用时引用同一个文件。
-
-visibility 通过所属组件 attributes 登记 data_ref、axes、dtype、visibility_type、meaning、provenance、source_locator；未知值通过属性 valid_ref 标识，全已知可声明 valid=true。比例与布尔值不相互强转，也不按任意阈值二值化。没有 MANO 时，整手可见性挂在 keypoints 组件，使用独立的 whole_hand_visibility.pt，明确 meaning=whole_hand，不与逐关键点可见性混用。
-
-`valid` 回答“这项标注能否用于监督”，`visibility` 回答“在当前图像中是否可见（或可见多少）”。不可见的手或关键点仍可有有效标注；不能因 visibility=0 就清空坐标。源没有 visibility 时缺省或标为未知，不由 valid 推断。
-
-| 情况 | 手标注 valid | visibility |
-|---|---|---|
-| RGB 已开始录制，动捕尚未开始，没有其他对应手标注 | false | 以独立源可见性标注为准；没有则未知 |
-| 手被遮挡，但源有标注且通过适用有效性检查 | true | 若源声明不可见，则 false 或源可见比例 |
-| 手可见且有对应标注，通过适用 QA | true | 若源有此信息，则 true 或源可见比例 |
-| 手可见，但该帧漏标或动捕中断 | false | 可以为 true，但必须有独立来源依据 |
-| 有手部参数，但官方 QA 明确不通过 | false | 不据此断言不可见；源可见比例若基于不可靠位姿，其属性 valid 也为 false |
-
-visibility 自己的 valid_ref 表示该可见性标注是否可用，不复用 MANO 或关键点坐标的 valid_ref；明确记录源存在性及适用的 QA 条件。上述例子不要求凭图像自动生成可见性。
-
-不设 quality 组件或目录，不另存拟合误差、曝光、截断比例等通用质量数组。适用的官方 QA 合并进对应 valid，在 `valid_policy` 记录来源与规则；正式校验报告保留原始 QA 时间区间及排除统计。原始 QA 文件仍在 raw，官方 split 保留。
-
-### 5.2 mano：参数与整手可见性
-
-MANO schema `mano/axis_angle61/v1`：`motion.pt [T,2,61]`，顺序为完整 16 关节 axis-angle 48、shape betas 10、全局平移 3。姿态使用弧度，平移米，位于当前相机系。有效性 `[T,2]`；缺少一侧整槽 NaN。PCA 必须先按对应模型展开，不能将 PCA 系数直接填入 axis-angle。
-
-`model_profile` 必须固定 MANO 版本、`flat_hand_mean=true`、左手 shapedirs 修正状态。平移表示模型输出顶点所加的全局平移，不是某个腕关节的坐标；源语义不同须转换。shape 无量纲。模型权重不作为共享数据附带上传。
-
-`mano/visibility.pt [T,2]` 保存源整手可见比例时使用 float32 [0,1]，`visibility_type=ratio`；只有实际采用 0–100 的百分比才除以100，不能只凭表头判断。HOT3D 的 `visibility_ratio[%]` 实值已经是0–1，官方读取器原样读取，必须保留原值。通过 MANO 组件 attributes 登记，使用独立有效性，不复用 motion_valid。
-
-手部共享表示仅保留 MANO 参数与选定关键点，不发布独立手表面几何。需要渲染或接触计算时由 MANO 参数生成，几何引用使用固定 MANO 模型配置与顶点顺序；不影响 object 下的物体模型和材质资产。
-
-### 5.3 keypoints：二维点、三维点与逐点可见性
-
-关键点独立于 MANO 参数存在；没有 motion 也可有关键点。`uv.pt [T,2,K,2]` 与 `xyz.pt [T,2,K,3]`，有效性 `[T,2,K]`，分别采用 `keypoints/uv/v1` 和 `keypoints/xyz/v1`。K 由 `keypoint_schema` 固定，不能在同一数组中逐帧变化；同体系统一顺序。数值使用像素坐标或米制相机系。
-
-| keypoint_schema | K 与固定索引 |
-|---|---|
-| mano21/v1 | 21；wrist 后依次 thumb/index/middle/ring/little，每指由近端至指尖 |
-| rhd21/v1 | 21；保持 wrist，然后五指由近端至指尖；原始每指 tip→palm 反序。只统一顺序，不宣称解剖学位置等价于 MANO |
-
-具体名称与源索引映射见 `schema.json`。当前只登记 MANO21 与 RHD21；不登记 MediaPipe、ReInterHand capture21 或 fit24 中间关键点。
-
-每个发布中的每个视图只提供一套标准手关键点，直接放在 keypoints 下，不设 annotation_set_id 字段或目录。uv 与 xyz 是这套关键点的二维与三维表示，不是两套标注。provenance 分别记录二者来自原始标注还是计算结果；不要求已有 2D 必须由当前 xyz 重新投影覆盖。
-
-ReInterHand 的 Original keypoints、Original fits keypoints 及带前臂关键点不纳入 shared；如需手关键点，从选定 MANO 参数生成 MANO21 并记录模型/指尖回归约定。其他数据集默认使用选定的官方关键点，不额外生成平行的 MANO 派生集合。后续主动更换生成方法或结果时发布新的 dataset_version，不在同一版本内增设方法分支。
-
-manual/projection/fitting 只记录在 provenance，不作为目录或类型分支。不得通过坐标为零、是否出画或 visibility 判断标注是否存在。派生标注仅在实际生成并通过数值检查后声明 valid=true；没有生成的项为 false，不伪造坐标。
-
-`keypoints/visibility.pt [T,2,K]` 保存源逐点可见性，布尔表示使用 `visibility_type=boolean`。uv 与 xyz 共用时引用同一份文件。整手比例属性没有 MANO 可挂载时使用 `whole_hand_visibility.pt [T,2]`，`meaning=whole_hand`；它与逐点可见性分开，通用登记规则见 5.1。
-
-不使用 annotation_set_id；ReInterHand 中间关键点集合不进入 shared，raw 保留来源文件。
-
-### 5.4 object：身份、资产、位姿与几何
-
-#### 5.4.1 metainfo.json：物体身份与跟踪作用域
-
-手用 `hand_left`、`hand_right` 及槽位 0、1 表示，不再另存 entities.json。物体身份登记在 `annotation/object//metainfo.json`，必填 `object_id`、`identity_scope`、`scope_id`、`source_locator`；可含 `category_id`、`source_object_id`、`mesh_ref`、`has_model`、部件引用。即使只有分割、没有 pose/mesh，也可只有这份物体元信息。
-
-`identity_scope` 为 frame/subsequence/sequence，`scope_id` 指定具体作用域；跨相机共享身份只在已有源对应证据时使用。VISOR 按官方 subsequence 与实体名关联时记录 `association_basis=official_subsequence_entity_name`，不能声称这是全视频物理实例跟踪。无需与 object_id 一一对应的标准 track_id；官方独立轨迹标识存在时保留为 source_track_id，并声明作用域。手槽不证明跨采集片段的个人身份。
-
-#### 5.4.2 assets：网格、材质与纹理
-
-资产属于物体，统一存放在 `annotation/object//` 内，可用 `assets/` 子目录组织网格、材质、纹理和部件资产。序列层不设共享 assets。所有引用采用视图根目录为基准；其中物体资产组件的 `data_ref` 与部件的 `mesh_ref` 采用相对于当前视图目录的 POSIX 路径，例如 `annotation/object/cup_01/assets/cup.obj`，且必须指向所属物体目录内的资产。OBJ 内部的材质、纹理引用遵循文件格式自身的相对路径规则，依赖文件一并保留。不同相机视图允许各自保存物体资产，不要求跨视图去重；下载物体时包含其资产依赖。
-
-网格 schema 为 `mesh/obj/v1`，顶点米制，静态有效性可直接声明标量 `valid`，或通过 `valid_ref` 指向标量 bool Tensor；不按 T 重复静态资产。由物体／部件通过引用关联，不仅凭文件名猜测。
-
-#### 5.4.3 pose.pt、pose_valid.pt 与 visibility.pt
-
-刚体 schema 为 `object/rigid/v1`，`pose.pt [T,4,4]` 固定为 `T_camera_from_object`，平移米制，有效性 `[T]`。物体坐标原点、轴向必须与 mesh 一致；旋转块为正交矩阵且 determinant≈1。
-
-`object//visibility.pt [T]` 保存源物体可见比例，float32 [0,1]，`visibility_type=ratio`。通过所属物体组件 attributes 登记，独立表达其有效性。
-
-#### 5.4.4 articulation.json、部件位姿与 joint_state.pt
-
-关节物体：schema `object/articulated/v1`，`articulation.json` 登记 `parts` 与 `joints`。每个 part 有 `part_id`、`parent_id`（根为 null）、`has_model`、`mesh_ref`；has_model=false 时 mesh_ref=null，结构节点允许没有网格。父链不得成环。每个 joint 有唯一 `joint_id`、`parent_part`、`child_part`、`type`；fixed 单位 null、revolute 弧度、prismatic 米。有源限位时保存 `limits:[lower,upper]`；没有时 null，不伪造上下限。部件姿态统一为 `T_camera_from_part [T,4,4]`，不与父局部变换混装。
-
-若提供 `joint_state.pt [T,J]`，必须登记固定 joint_order、轴在父部件系的表达、零位变换与正方向，valid 为 `[T,J]`；缺少这些运动学定义时只发布部件位姿与已有来源信息，不伪造可驱动的关节模型。关节值与部件位姿同时存在时需验证一致性。
-
-部件层级应声明语义：纯语义包含树允许 `joints=[]`，不将包含关系推断为机械关节。关节状态 schema 为 `object/joint_state/v1`；转动用弧度、移动用米，混合类型按 joint_order 对应的关节定义解释。
-
-#### 5.4.5 dimensions、几何关键点与顶点部件标签
-
-`dimensions.pt [T,3]` 采用 `object/dimensions/v1`，有效性为 `[T]`。
-
-物体/部件 `dimensions` 为 `[length,width,height]` 米，轴顺序与该 mesh 的局部坐标关联，登记 `dimensions_semantics` 和来源。HOI4D dimensions 与 mesh 的具体尺度关系未验证前标为 source_unspecified，保留源值并暂停依赖该关系的几何验收，不能默认为待施加缩放。需要施加缩放时明确 scale_applied_to_mesh，禁止重复应用。
-
-源物体关键点放 `object//keypoints/xyz.pt [T,K,3]`（相机系）或 `template_xyz.pt [K,3]`（物体系），schema 分别为 object_keypoints/camera/v1 和 object_keypoints/template/v1。明确 keypoint_schema、keypoint_names、单位及有效性；模板点配合 pose 可投影，无须重复生成全部帧。H2O 中心/角点/棱中点，以及 ARCTIC 部件点分别登记具体源顺序，不套用手的 21 点 schema。每个发布选择一套源几何点并记录选择，不另建方法分支。
-
-`vertex_part_ids.pt [V] int64` 绑定 `mesh_ref` 与 topology_id，登记整数到 part_id 的映射；未知用 -1。ARCTIC 不同拓扑的资产分别绑定，不能共用未经转换的顶点标签。部件层级中 is_instance/has_model 等源属性保留，几何文件仍全部归 object。
-
-### 5.5 segment：分割类别、编码与覆盖范围
-
-每个发布选择一套任务使用的分割表示，不建立方法／标注集分支。没有分割就不创建 segment 目录，不为其他模态创建空的实体表。
-
-| schema_id | 文件与数值语义 |
-|---|---|
-| segment/uint16_labels/v1 | mask.mkv；整数区域编号，通过 instances.jsonl 解释 |
-| segment/instance_polygons/v1 | polygons.jsonl；实例多边形，可重叠；当前不支持孔洞拓扑 |
-| segment/foreground_intensity/v1 | mask.mkv；0–255 前景强度，不是区域编号或经过校准的概率 |
-
-#### 5.5.1 uint16 标签图与 instances.jsonl
-
-组件声明 `segmentation_type=semantic/instance/part`；同一组件固定一种类型。`mask.mkv` 解码为 `[T,H,W] uint16`，schema `segment/uint16_labels/v1`，使用 `mkv/uint16_ffv1/v1`，FFV1 gray16le 无损；只有所有区域编码均 ≤255 时允许 gray8（pixel_format=gray），读取后转 uint16，数值不变。禁止调色板和有损编码。有效性 `[T]`，表示该帧有可用分割标注。数值 0 固定为 unassigned，65535 固定为 ignore，1–65534 为区域编码，不能直接等同 entity_id。
-
-`instances.jsonl` 每帧一行，包含 `frame_index` 与 `labels`。每条标签包含 `mask_value`、`category_id`、`entity_id`、`part_id`；无意义或未知字段为 null。semantic 允许 entity_id=null；instance 必须引用 hand_left/hand_right 或登记的 object_id；part 还须关联登记部件。源实例 ID 和其他属性分别保存在 `source_instance_id`、`source_attributes`。mask 中每个非保留编码必须有且仅有一个映射。
-
-FreiHAND 的试点按本任务需要，统一到手／背景类别，保留每个原生区域编码；不要求给原生细分区域猜测手指名称。需要细部件监督时，尚未核实的部件名称必须保持未知，不能因粗粒度手类别已核实便声称部件语义也已统一。
-
-#### 5.5.2 重叠实例多边形
-
-每发布选择一套任务使用的分割表示，不建立方法/标注集分支。VISOR 的实际试点存在重叠实例多边形，单层标签图不能无损表达。对此补充 `segment/instance_polygons/v1`：`segment/polygons.jsonl` 每帧包含 `frame_index` 和 `instances`，每实例包含 `mask_value` 与 `polygons`（列表，每个多边形为源图像像素坐标顶点序列，保留原始精度）。身份和类别仍由同一 `instances.jsonl` 映射，有效性仍为 `[T]`，通过 schema 区分物理编码。允许多实例重叠，不采用后画覆盖前画。消费者按需栅格化为独立实例二值 mask；不能声称合并的单层 mask 无损。
-
-#### 5.5.3 灰度前景强度
-
-ReInterHand 的官方渲染 mask 为双手合并的灰度前景掩码，实测存在 0–255 的中间值，不是左右手实例编号。登记 `segment/foreground_intensity/v1`：仍存 `segment/mask.mkv`，解码为 `[T,H,W] uint16`，使用 `mkv/uint16_ffv1/v1`，此类数据优先编码为 FFV1 gray8（pixel_format=gray），读取后转 uint16。有效值范围 0–255，归一化值为 `float32(value)/255`；0 为背景端点、255 为前景端点。组件声明 `foreground_category=hand`、`entity_id=null` 和双手合并语义，不使用区域编号映射。这里保留原始渲染 mask 强度，不把它称为经过校准的概率。若任务需要二值 mask，阈值化属于任务层派生操作，记录阈值；共享层不丢弃中间灰度。不同 schema 的数值含义不同，不能将该文件按整数类别图解码。
-
-FreiHAND 训练集的 JPEG mask 使用 `segment/foreground_intensity/v1`，逐像素保留 JPEG 解码后的灰度，`entity_id=hand_right`。该 schema 不限定双手合并：单手或合并范围由 `entity_id` 与 `coverage` 明确声明。评估集整数区域图仍用 `segment/uint16_labels/v1`，两者不能仅凭文件名使用同一种解码语义。
-
-#### 5.5.4 coverage 与有效性
-
-`coverage.kind=full/selected_entities/partial/unknown`。full 指声明的标注范围完整；selected_entities 还应列出目标范围。无论哪种，0 本身不自动成为背景；背景要有明确类别映射，未标注区域不能用于构造负样本。保留源逐类/逐实例 exhaustive 信息，未知不可改写为完整。
-
-三种表示的帧级有效性均为 `[T]`，表示该帧是否提供此分割标注；对应 valid_ref 在组件中登记，仍用小型 bool `.pt` 数组。栅格 mask 必须登记 storage，格式见 3.1.2，所有帧的整数编码或强度逐值完全相同。编码语义由 schema_id 决定，读取器不能仅依据 mask.mkv 文件名选择解码方式。
-
-### 5.6 contact：接触、抓取、区域与距离
-
-#### 5.6.1 relations.jsonl 与 relations_valid.pt
-
-`annotation/contact/relations.jsonl`，schema contact/relations/v1，每帧一行含 frame_index、relations。每条记录含 relation_type（contact/grasp）、subject_id（手槽或登记实体）、object_id、status、source_locator、provenance。status 固定为 positive/negative/unknown/target_unannotated：positive 必须有可解析目标，negative 表示源明确否定该关系，unknown 为不确定，target_unannotated 为确有接触但目标未标注。非 positive 的 object_id 可 null，不能用 null 冒充“不接触”。稀疏源无记录的帧不自动补 negative。
-
-VISOR 的对象 mask ID 必须先按同帧 source_instance_id 解析成 object_id；hand-not-in-contact、none-of-the-above、inconclusive 分别映射 negative、target_unannotated、unknown，保留原始字符串。Dex ycb_grasp_ind 通过 ycb_ids 映射到登记物体，以 relation_type=grasp 保存；不得当作逐顶点接触。
-
-relations 组件的 valid_ref 指向 `relations_valid.pt [T] bool`，表示该帧是否有可用源关系标注。有效帧中可以存在 status=unknown 的明确不确定标注；无源标注的帧为 valid=false、relations=[]。组件仍声明 available/provenance/source_locator。
-
-#### 5.6.2 实体对的顶点区域与距离
-
-已发布的接触区域/距离按参与关系的 subject_id 与 object_id 组织，每对实体保留选定的一套结果，以精确 geometry_ref/topology_id 关联到手或物体/部件；不要求每套数据都有。顶点区域 schema contact/vertex_region/v1：bool `[T,V]` 加同形 valid；顶点距离 schema contact/vertex_distance/v1：float32 `[T,V]`、米、同形 valid，声明 source/target geometry_ref、distance_definition（signed/unsigned、测量到点集或表面等明确源定义）。geometry_ref 必须指向已登记 mesh 或由固定 MANO 模型配置确定的拓扑；拓扑/顶点数变化时按拓扑拆分片段。其他源区域表示只有在实际接入并登记 schema 后才可转换，不能随意栅格化宣称等价。
-
-顶点区域／距离已有存储定义，但尚未完成真实输入试点；接入时必须提供源语义与几何验收证据，不因已经登记 schema 就视为通过。
-
-## 附录：任务范围
-
-不强制收录 2D bbox、完整高频动捕、动作程序、身体 SMPL-X、点云或网络特征。范围内的接触、visibility、选定手关键点、物体几何不能因不便处理而静默丢弃。分割采用的物理编码由第 5.5 节决定，存在重叠时不能以单层标签图声称无损。
-
-不设置 entities_ref/segment/entities.json，不要求与 object_id 重复的 track_id。MediaPipe 不在当前关键点定义中；旧版本迁移必须保留可追溯关系，不能直接删表。手部共享表示不含独立 hand_mesh。
-
-schema.json 是普通注册表，不是 JSON Schema 文档或可执行验收器；定义存在不代表真实数据已验证。验收须保留实测范围与未决项。
-
-本存储约定只更新标准，不代表既有 FFV1／depth.pt 试点已迁移。新发布必须显式写 storage 配置；旧产物按其旧定义读取，不能只改文件后缀或版本标识伪装为合规。
diff --git a/EgoHOS/shared-v1.0/script/EgoHOS_DATA_MAPPING.md b/EgoHOS/shared-v1.0/script/EgoHOS_DATA_MAPPING.md
deleted file mode 100644
index 8b0af4fc8ea7a2fd3fac55afbf65d6df0390bb60..0000000000000000000000000000000000000000
--- a/EgoHOS/shared-v1.0/script/EgoHOS_DATA_MAPPING.md
+++ /dev/null
@@ -1,42 +0,0 @@
-# EgoHOS raw → shared-v1.0
-
-范围：RGB、官方九类语义分割。数据不是已验证连续视频；按独立图片打包，不推断跟踪、时间、相机标定、实例身份或接触延续。
-
-## 来源与实际输入
-
-- 仓库：
-- 固定 HF revision：`8818d04d6cbdc0bf32b6ef949257b82310f16798`。
-- 官方语义：。
-- 外层 `egohos_dataset.zip` 同时包含内层 ZIP 与解压副本；转换只取外层的 image/label，避免重复收录。
-- 四组原始图片数：train 8993、val 1124、test_indomain 1126、test_outdomain 500。来源是仓库 raw/doc/SOURCES.md；全量脚本另做实际计数校验。
-- 试点 HTTP Range 只取中央目录及选中成员，逐成员 CRC、SHA256 校验。没有下载全包时，不声称验证了整个 ZIP 的 SHA256。
-
-## 字段映射
-
-| raw | shared | 规则 |
-|---|---|---|
-| `/image/` | `observation/rgb.mkv` | JPEG 优先原码流 remux，所有包 SHA256 和全部解码 RGB 核对；不适用时同时验证 FFV1 / libx264rgb CRF=0，取完整视图文件较小者 |
-| RGB 文件可正常解码 | `rgb_valid.pt [T] bool` | 全部 true；坏文件立即失败，不跳过、不补邻帧 |
-| `/label/.png` | `annotation/segment/mask.mkv` | 保留索引值，不将调色板 RGB 当标签；FFV1 gray16le，全帧逐整数核对 |
-| 类别 0 background | shared mask 9 | shared 0 保留给 unassigned，显式背景不能继续占用 0 |
-| 类别 1、2 | shared mask 1、2 | 解剖学 left/right，entity_id=hand_left/hand_right |
-| 类别 3、4、5 | shared mask 3、4、5 | 左/右/双手一级交互物体类别；entity_id=null |
-| 类别 6、7、8 | shared mask 6、7、8 | 左/右/双手二级交互物体类别；entity_id=null |
-| 以上类别表 | `instances.jsonl` | 每帧一行，semantic 类型；无实例/部件 ID，不捏造实例跟踪 |
-| 源 label 存在且类别/尺寸合法 | `mask_valid.pt [T] bool` | 无额外官方 QA 输入；不能用 mask valid 推断手可见性 |
-| 目录 split | metainfo + frames.split | 两个 test 目录均为 test，source_split 完整区分 indomain/outdomain |
-| 原文件名、归档路径 | `camera/frames.jsonl` | 稳定 sample_id、源 member、源 SHA256、revision、逐帧原定位 |
-| 真实时间/标定缺失 | null / component unavailable | camera model=unknown；不伪造 K、单位外参、FPS |
-
-按 split 和分辨率分组，每片最多 `--chunk` 张。T=1 为 image/single，T>1 为 image/independent；所有 timestamp_ns/clock_domain/source_fps 为 null。MKV 1 FPS 仅作索引，不是采集帧率。view_type=ego。
-
-## 未纳入内容及原因
-
-- contact：官方 README 描述 contact/，但 ParityLab 原始包实际上没有此目录；标注为缺失，不能把交互物体类别推断成逐实体 positive/negative 接触。
-- 几何、MANO、深度、内外参、visibility：该输入无对应监督，缺省，不生成空几何或虚构单位阵。
-- 模型训练源码、权重、演示 GIF：不是观测或标注；原始包和源码仍在 raw。
-- semantic 的 task background 不是所有物体的完备负样本，coverage=partial。
-
-## 验收
-
-`encoding_validation.json` 是每视图逐帧字节验收证明；`doc/validation/report.json` 记录自动检查范围、HTML 样本和全发布文件 SHA256。HTML 展示所有已提供模态及缺失原因。只有人工查看 HTML 后才运行 approve；自动测试不替代人工审核。
diff --git a/EgoHOS/shared-v1.0/script/OakInk-v1_DATA_MAPPING.md b/EgoHOS/shared-v1.0/script/OakInk-v1_DATA_MAPPING.md
deleted file mode 100644
index e5708e48b0473606dda17246f1c1f9f4317090a5..0000000000000000000000000000000000000000
--- a/EgoHOS/shared-v1.0/script/OakInk-v1_DATA_MAPPING.md
+++ /dev/null
@@ -1,55 +0,0 @@
-# OakInk-v1 raw → shared-v1.0
-
-本脚本的图像范围是 **OakInk-Image**。仓库名称 OakInk-v1 下包含 OakInk-Image v2 图像包，不应误当成 OakInk2。
-
-## 实际可用性与范围
-
-当前 ParityLab HF revision `8818d04d6cbdc0bf32b6ef949257b82310f16798` 有 image/obj.zip、11 个图像分卷、OakBase、OakInk-Shape 等包；**没有 anno_v2_1.zip**。这意味着相机、逐帧关键点/位姿、官方划分均不能从当前图像包恢复。
-
-- 默认缺标注会停止并提示补充文件。
-- 显式 `--allow-rgb-only` 选择缺少逐帧标注的范围：RGB 和输入中已有的静态物体网格；位姿、手几何与 split 缺失均列明。该结果不是完整几何数据集。
-- 补齐 `image/anno`、来源 inventory 后，可通过 `--annotations ... --trust-pickle` 启用几何分支。此分支须在真实标注试点上重新验证并人工确认；随包的合成检查不能代替真实验收。
-
-官方资料：
-
-- 
-- 
-- 
-
-## 映射
-
-| raw | shared | 规则 |
-|---|---|---|
-| `image/stream_release_v2///_.png` | `observation/rgb.mkv` | 不缩放、不旋转；FFV1 RGB 与 libx264rgb CRF=0 两候选全帧 RGB 精确比对，选较小完整视图 |
-| seq/ts/camera/frame | metainfo、frames | 按源数字帧号排序；跨相机共享源 sequence 命名；不凭索引宣称同步 |
-| camera 名 | camera_id | north_east_color、south_east_color、north_west_color、south_west_color，官方 camera index 0–3 对应同顺序 |
-| 外部多相机采集 | view_type=exo | 不是 ego；不因数据名称猜测视角 |
-| 源帧时间未知 | timestamp_ns=null | 日期目录不解析为精确逐帧时间，source_fps=null；sparse video，MKV 1 FPS 仅封装 |
-| `anno/seq_all.json` | annotation_key/sample_id | 官方 `seq/ts, sbj_flag, frame, cam` 拼为 `__`；不能把 sbj_flag 当左右手 |
-| `anno/split*` | split、split_source_locator | 支持 split0 / split1 / split2 / split0_ho，保持官方集合；未分配记录 unknown |
-| `anno/cam_intr/.pkl` | `camera/intrinsic.pt [T,3,3]` | 官方 pinhole K，float32；正焦距、最后一行检查 |
-| `general_info.cam_extr` | `camera/extrinsic.pt [T,4,4]` | T_camera_from_world，列向量，米；SE3 检查，不反转方向 |
-| `anno/hand_j/.pkl` | `keypoints/xyz.pt [T,2,21,3]` | 官方相机系、米，wrist/thumb/index/middle/ring/little 各近端到指尖；顺序与注册 mano21 对齐，保持原数值 |
-| K、hand_j | `keypoints/uv.pt [T,2,21,2]` | 派生 K@xyz 后除以 Z，正 Z 才有效；出图不自动失效，左槽 NaN |
-| 官方 `_hand_side=right` | right 槽 1 | 两人交接两只右手按 person0/person1 分别输出 sequence；绝不冒充同一人的左右手 |
-| `anno/obj_transf/.pkl` | `object//pose.pt [T,4,4]` | T_camera_from_object；文档误拼 obj_trasnf 也支持，优先官方代码的 obj_transf |
-| `image/obj/.obj` | `object//assets/.obj` | 遵循官方 load_object：减 `(bbox_min+bbox_max)/2` 后再配位姿；不擅加缩放；源中实际存在的材质/纹理依赖同时复制；若全部引用的 MTL 均缺失，按官方 skip_materials=True 的几何范围移除悬空 mtllib/usemtl，并记录 source_missing_materials；部分缺失则停止供核实 |
-| 序列前缀 obj_id | 物体 metainfo | 官方关联依据，sequence 范围身份，mesh_ref 相对视图根 |
-
-浮点标准值 float32，缺失左手为 NaN，valid 是 CPU bool tensor。已有标注若形状、有限性、K/SE3 检查失败则报错，不静默丢弃。未另输入官方 QA，不能宣称通过独立 QA。各帧标注来源写入 frames.annotation_sources；split 来源也保留。
-
-## 未纳入内容、限制
-
-- **MANO 暂不导出**：general_info 的 hand_pose 是 world-space quaternion；统一规范要求 flat_hand_mean=true 的完整 axis-angle 和“模型顶点所加平移”。仅 quaternion→axis-angle 与复制 hand_tsl 不足以证明中心关节/均值一致；没有实际 MANO 模型与 hand_v 重建比对，不能声称合规转换。补齐该验证后另发布版本。
-- hand_v 不独立发布，按约定手几何只允许由选定 MANO 生成；不以手顶点冒充已验证 MANO。
-- RGB-only 范围没有内外参、手/物位姿、官方 split；图像存在不代表这些标注不存在于原始数据集。
-- 没有逐帧标注时，仍按官方序列前缀关联已下载的 image/obj 静态资产，展示规范坐标系点云；物体位姿 unavailable，不伪造相机系叠加。若资产尚未下载，区分 not downloaded 与源不存在。无对应帧的资产不复制到相机视图。
-- OakInk-Shape 是物体规范坐标系抓取集合，包含虚拟目标；OakBase 是物体知识/部件资产。二者不自动匹配为图像帧、相机系 MANO 或 contact。本次不转换这些分支，原包保留。若要求覆盖它们全部内容，需要独立确定非相机样本的注册表示。
-- 没有独立 visibility / depth / contact 输入，不从 intent、几何距离或关键点是否在图内伪造。
-- 3D 预览用规范物体点与相机系物体点云，显示点数约 3000；这只是预览，发布 OBJ 保留全部顶点/面/依赖。
-
-## 验收
-
-所有 RGB 帧精确验收；标注作形状、有效性、单位/坐标声明、SE3 数值检查。人工必须复核手与物体投影、比例、规范网格中心、person 区分。真实几何试点尚未通过前，不称其为已验收几何发布。
-
-真实试点发现 S10012.obj 引用 model_align.obj.mtl，但 obj.zip 没有提供；本次输出保留几何并显式移除这些悬空材质绑定，不声称输出有原始纹理。
diff --git a/EgoHOS/shared-v1.0/script/README.md b/EgoHOS/shared-v1.0/script/README.md
deleted file mode 100644
index c18da834eac5843bd9b04b38bd8f415159c1cddb..0000000000000000000000000000000000000000
--- a/EgoHOS/shared-v1.0/script/README.md
+++ /dev/null
@@ -1,147 +0,0 @@
-# EgoHOS / OakInk-v1 预处理脚本
-
-以随包 CONTRACT.md 与 schema.json 为规范，输出 `<数据集>/shared-v1.0/{doc,script,data}`。默认只跑试点。**人工查看试点 HTML 后才能全量；全量结束后再次抽样人工确认才能上传。** 本包不是全量处理结果。
-
-## 当前覆盖范围
-
-| 数据集 | 可用路径 | 待补充 |
-|---|---|---|
-| EgoHOS | RGB + 9 类语义分割；四个官方 split；真实源样本可直接 Range 下载试点 | raw 包没有独立 contact 图，无标定/几何 |
-| OakInk-v1 / OakInk-Image | RGB-only 明确选项；可在服务器处理图像分卷 | 当前 HF raw 不含 anno_v2_1.zip；几何分支须补齐后真实试点 |
-| OakInk 几何可选分支 | K、外参、相机系右手 xyz/派生 uv、物体位姿、居中 OBJ 与依赖 | 无真实标注验收前，仅视为待验证适配器；MANO 未实现，不伪造参数 |
-
-OakInk-Shape/OakBase 不作为图像帧转换；具体排除原因见 DATA_MAPPING 文档。FreiHAND 参考链接本次匿名访问返回 401，未以未读内容作实现依据；目录和字段按用户提供的两个约定文件实现。
-
-## 环境
-
-Python 3.10+、FFmpeg（须有 ffv1 与 libx264rgb）、OakInk 分卷解压需要 7z/7zz。CPU 即可。
-
-```bash
-python3 -m venv .venv
-. .venv/bin/activate
-python -m pip install -r requirements.txt
-python test_self.py
-```
-
-如只用 CPU，可先按 PyTorch 官方 CPU 索引安装 torch 再安装 requirements，避免下载 CUDA 依赖。HF 下载/上传使用本机 `hf auth login` 或 HF_TOKEN；不要把 token 写入脚本或发布目录。
-
-## 1. EgoHOS 真实小试点（不下载 4.5 GB 全包）
-
-以下命令在本脚本目录运行，所有输出路径可改到大容量磁盘。extracted 是工作区；不在 raw 内解压。
-
-```bash
-python acquire.py pilot-egohos --out /storage/work/egohos-pilot --per-split 4
-python preprocess.py build --dataset EgoHOS \
-  --input /storage/work/egohos-pilot --out /storage/pilot/EgoHOS/shared-v1.0
-```
-
-浏览 `/storage/pilot/EgoHOS/shared-v1.0/doc/validation/index.html`（静态 HTML，可直接打开）。下拉框能逐帧查看全部试点样本、源 RGB、shared 解码 RGB、mask、叠加、valid、来源、元信息和缺失原因。请核对左右手、背景编码、细物体边界、四个 split。**只有人实际看过并接受后执行：**
-
-```bash
-python preprocess.py approve --release /storage/pilot/EgoHOS/shared-v1.0 --reviewer '审核者姓名'
-```
-
-approve 是人工声明记录，不会自行判断人工是否看过。程序不会自动调用 approve。
-
-## 2. 原始包下载与工作区解压
-
-```bash
-python acquire.py download --dataset EgoHOS --raw /storage/EgoHOS/raw
-python acquire.py extract --dataset EgoHOS --raw /storage/EgoHOS/raw --out /storage/work/egohos-full
-
-python acquire.py download --dataset OakInk-v1 --raw /storage/OakInk-v1/raw
-python acquire.py extract --dataset OakInk-v1 --raw /storage/OakInk-v1/raw --out /storage/work/oakink-full
-```
-
-固定 HF commit，并校验来源文档给出的每包大小/SHA256；原始包保持不变。OakInk `.z01`–`.z10` 与最终 `.zip` 是分卷 ZIP，由 7z 从最终 .zip 读取，不用 `cat` 伪拼接。下载约 124 GB，还需解压、编码候选与输出空间；预先准备数百 GB 空间，命令做磁盘预检但不保证压缩率估计准确。提取失败的目录不自动覆盖，诊断后选新目录重跑。
-
-## 3. OakInk 试点
-
-无需先下载全部 124 GB，也可做有限范围 RGB 小试点（只从首个分卷的前 128 个 PNG 条目中按相机抽样，不代表全数据集随机覆盖）：
-
-```bash
-python acquire.py pilot-oakink-rgb --out /storage/work/oakink-pilot --per-split 2
-python acquire.py fetch-oakink-objects --out /storage/work/oakink-pilot
-python preprocess.py build --dataset OakInk-v1 --input /storage/work/oakink-pilot \
-  --out /storage/pilot/OakInk-v1/shared-v1.0 --allow-rgb-only
-```
-
-完整工作区已解压时，当前 HF 没有 anno，若本次范围只接受现有 RGB：
-
-```bash
-python preprocess.py build --dataset OakInk-v1 \
-  --input /storage/work/oakink-full --out /storage/pilot/OakInk-v1/shared-v1.0 \
-  --allow-rgb-only --per-stratum 4
-```
-
-按 camera×split 固定种子抽样，unknown split 明确保留，不随意划分训练集。该结果没有手关键点或手/物逐帧位姿；如果工作区已有 image/obj，会保留静态网格和规范坐标系预览，仍不能作为完整几何交付。
-
-若已获可信官方 `anno_v2_1.zip`，先用以下命令校验每成员 CRC、记录文件和原包 SHA256，再解压到同一工作区 `image/anno`：
-
-```bash
-python acquire.py extract-annotations --archive /storage/OakInk-v1/raw/data/image/anno_v2_1.zip \
-  --out /storage/work/oakink-full
-```
-
-该命令要求包内根目录为 anno/，发现不同布局会停止，避免猜错路径。然后运行：
-
-```bash
-python preprocess.py build --dataset OakInk-v1 \
-  --input /storage/work/oakink-full --out /storage/pilot/OakInk-v1/shared-v1.0 \
-  --annotations /storage/work/oakink-full/image/anno --trust-pickle --split-scheme split0
-```
-
-`--trust-pickle` 仅用于可信官方标注，因为 pickle 可执行代码。每条来源记录格式（路径相对 --input；SHA256 填真实结果）：
-
-```json
-{"path":"image/anno/seq_all.json","sha256":"实际文件SHA256","source_locator":{"file":"OakInk-v1/raw/data/image/anno_v2_1.zip","archive_sha256":"实际包SHA256","member":"anno/seq_all.json"}}
-```
-
-几何路径不会强行把 sbj_flag 0/1 映射成左右手；两人的右手分别在 person0/person1 序列。检查 canonical 网格、相机系关键点/物体点云以及 2D 叠加。模型来源、量纲或关键点定义无法确认时不要 approve。MANO 需要另做模型配置与顶点重建对照，当前不导出。
-
-## 4. 试点批准后全量
-
-```bash
-python preprocess.py build --dataset EgoHOS --phase full \
-  --input /storage/work/egohos-full --out /storage/EgoHOS/shared-v1.0 \
-  --pilot /storage/pilot/EgoHOS/shared-v1.0
-
-python preprocess.py approve --release /storage/pilot/OakInk-v1/shared-v1.0 --reviewer '审核者姓名'
-python preprocess.py build --dataset OakInk-v1 --phase full \
-  --input /storage/work/oakink-full --out /storage/OakInk-v1/shared-v1.0 \
-  --pilot /storage/pilot/OakInk-v1/shared-v1.0 --allow-rgb-only
-```
-
-OakInk 若试点启用标注，全量也用相同 --annotations、--trust-pickle、--split-scheme，去掉 --allow-rgb-only。chunk、seed、代码、模态范围须与试点一致；变更后须重做试点。输出目录必须不存在。EgoHOS full 强制核对四组完整数量，防止把试点数据当全量。
-
-所有视图均逐帧校验视频/数组；全量 HTML 按 split×camera 随机抽取视图并显示所选视图的每一帧，绝不将人工抽检称为全量人工审核。若要浏览所有帧的所有要素（会生成大量 PNG/HTML）：
-
-```bash
-python validate.py /storage/EgoHOS/shared-v1.0 --all --source-root /storage/work/egohos-full
-```
-
-重新 validate 会使旧人工审核失效。输入、输出、每帧 provenance 与文件 SHA256 均可检查。自动检查只验证实现支持的字段，并不能自动证明数据集原生语义和真实几何正确。
-
-## 5. 最终抽检与上传
-
-打开全量结果的 doc/validation/index.html，再次人工抽检后：
-
-```bash
-python preprocess.py approve --release /storage/EgoHOS/shared-v1.0 --reviewer '审核者姓名'
-python preprocess.py upload --release /storage/EgoHOS/shared-v1.0
-
-python preprocess.py approve --release /storage/OakInk-v1/shared-v1.0 --reviewer '审核者姓名'
-python preprocess.py upload --release /storage/OakInk-v1/shared-v1.0
-```
-
-目标按用户要求固定为 **ParityLab/Hand-Datasets-Raw**，分别是 `EgoHOS/shared-v1.0` 和 **大小写准确的** `OakInk-v1/shared-v1.0`。需要写权限；任何 pilot 都禁止作为正式 shared-v1.0 上传。上传前验证文件哈希，按最多 128 个文件分批提交、文档最后上传；拒绝合并到已经存在的同版本目录，防止留下旧文件。中途失败会保留已提交批次，脚本不会自动覆盖/删除，须核验远端后恢复。未自动上传、未代替用户签署人工审核。
-
-## 输出文件
-
-- `doc/DATA_MAPPING.md` 与兼容约定文件名 `doc/RAW_TO_SHARED.md`：raw 映射、未纳入内容和原因。
-- `doc/validation/index.html`、预览 PNG、`report.json`：视觉与自动检查。
-- `doc/build.json`：完整命令、源 inventory 摘要、选择策略、处理数。
-- `script/`：本次处理脚本和全部必需支持文件；不包含 venv、token 或 MANO 权重。
-- `data///`：metainfo、frames、MKV、CPU tensor、已选物体资产。
-
-测试状态与真实试点范围见随包 `TEST_RESULTS.md`。没有真实标注包时，对几何分支的检查只能算合成端到端检查。
diff --git a/EgoHOS/shared-v1.0/script/acquire.py b/EgoHOS/shared-v1.0/script/acquire.py
deleted file mode 100644
index 4392a83e0ecfa4b79eac1794916b800ee8c02fbb..0000000000000000000000000000000000000000
--- a/EgoHOS/shared-v1.0/script/acquire.py
+++ /dev/null
@@ -1,325 +0,0 @@
-#!/usr/bin/env python3
-"""Pinned HF downloads; immutable raw archives; CRC-checked pilot extraction."""
-import argparse
-import hashlib
-import io
-import json
-import random
-import shutil
-import struct
-import subprocess
-import time
-import urllib.error
-import urllib.request
-import zipfile
-import zlib
-from pathlib import Path, PurePosixPath
-
-REPO = 'ParityLab/Hand-Datasets-Raw'
-REVISION = '8818d04d6cbdc0bf32b6ef949257b82310f16798'
-HERE = Path(__file__).resolve().parent
-
-
-def sha(path):
-    with open(path, 'rb') as f:
-        return hashlib.file_digest(f, 'sha256').hexdigest()
-
-
-def safe_path(root, name):
-    p = PurePosixPath(name)
-    if p.is_absolute() or '..' in p.parts or '\\' in name:
-        raise ValueError(f'Unsafe archive path: {name}')
-    target = root.joinpath(*p.parts)
-    if not target.resolve().is_relative_to(root.resolve()):
-        raise ValueError(f'Path escapes extraction root: {name}')
-    return target
-
-
-class RemoteFile(io.RawIOBase):
-    """Small seekable HTTP range reader, suitable for ZIP central directories."""
-    def __init__(self, path, size):
-        self.url = f'https://huggingface.co/datasets/{REPO}/resolve/{REVISION}/{path}'
-        self.size, self.pos = size, 0
-        self.cache_start, self.cache = 0, b''
-
-    def seekable(self):
-        return True
-
-    def tell(self):
-        return self.pos
-
-    def seek(self, offset, whence=0):
-        self.pos = offset + (0 if whence == 0 else self.pos if whence == 1 else self.size)
-        if self.pos < 0:
-            raise ValueError('Negative offset')
-        return self.pos
-
-    def read(self, n=-1):
-        n = min(self.size - self.pos, n if n >= 0 else self.size)
-        if n <= 0:
-            return b''
-        if not (self.cache_start <= self.pos and self.pos + n <= self.cache_start + len(self.cache)):
-            end = min(self.size, self.pos + max(n, 262144)) - 1
-            req = urllib.request.Request(self.url, headers={'Range': f'bytes={self.pos}-{end}'})
-            for attempt in range(4):
-                try:
-                    with urllib.request.urlopen(req, timeout=30) as r:
-                        expected = f'bytes {self.pos}-{end}/{self.size}'
-                        if r.status != 206 or r.headers.get('Content-Range') != expected:
-                            raise RuntimeError(f'Server did not honor byte range {expected}')
-                        self.cache = r.read()
-                        self.cache_start = self.pos
-                        if len(self.cache) != end - self.pos + 1:
-                            raise IOError('Truncated HTTP range')
-                    break
-                except (urllib.error.URLError, TimeoutError, OSError):
-                    if attempt == 3:
-                        raise
-                    time.sleep(attempt + 1)
-        start = self.pos - self.cache_start
-        self.pos += n
-        return self.cache[start:start+n]
-
-
-def checksums(dataset):
-    return json.loads((HERE / 'source_evidence' / f'{dataset}-archive_checksums.json').read_text())['files']
-
-
-def extract_zip(archive, target, origin, selected=None):
-    records = []
-    with zipfile.ZipFile(archive) as z:
-        for info in z.infolist():
-            if info.is_dir() or (selected is not None and info.filename not in selected):
-                continue
-            # Do not create symlinks/devices. Treat regular members only.
-            mode = info.external_attr >> 16
-            if mode & 0o170000 not in (0, 0o100000):
-                raise ValueError(f'Non-regular archive member: {info.filename}')
-            p = safe_path(target, info.filename)
-            p.parent.mkdir(parents=True, exist_ok=True)
-            if shutil.disk_usage(p.parent).free < info.file_size + 256 * 1024**2:
-                raise RuntimeError('Insufficient space for next uncompressed member')
-            with z.open(info) as src, p.open('xb') as dst:
-                shutil.copyfileobj(src, dst)  # ZipFile checks member CRC at EOF.
-            records.append({'path': p.relative_to(target).as_posix(), 'sha256': sha(p),
-                            'source_locator': dict(origin, member=info.filename)})
-    return records
-
-
-def download(dataset, root):
-    from huggingface_hub import hf_hub_download
-    entries = [e for e in checksums(dataset) if '#' not in e['path']]
-    need = sum(e['size'] for e in entries if not (root / e['path']).exists())
-    root.mkdir(parents=True, exist_ok=True)
-    if shutil.disk_usage(root).free < need + 5 * 1024**3:
-        raise RuntimeError(f'Insufficient disk; raw downloads need {need / 1e9:.1f} GB plus reserve')
-    for e in entries:
-        dst = root / e['path']
-        if dst.exists():
-            if dst.stat().st_size != e['size'] or sha(dst) != e['sha256']:
-                raise RuntimeError(f'Existing raw file differs: {dst}')
-            print(f'Already verified: {dst}', flush=True)
-            continue
-        remote = f'{dataset}/raw/{e["path"]}'
-        p = Path(hf_hub_download(REPO, remote, repo_type='dataset', revision=REVISION,
-                                local_dir=root / '_hf'))
-        if p.stat().st_size != e['size'] or sha(p) != e['sha256']:
-            raise RuntimeError(f'Archive checksum mismatch: {remote}')
-        dst.parent.mkdir(parents=True, exist_ok=True)
-        if not dst.exists():
-            p.replace(dst)
-        elif sha(dst) != e['sha256']:
-            raise RuntimeError(f'Existing raw file differs: {dst}')
-        print(dst, flush=True)
-
-
-def pilot_ego(target, count, seed):
-    e = checksums('EgoHOS')[0]
-    remote = f'EgoHOS/raw/{e["path"]}'
-    f = RemoteFile(remote, e['size'])
-    with zipfile.ZipFile(f) as z:
-        images = [n for n in z.namelist() if '/image/' in n and n.lower().endswith(('.jpg', '.jpeg', '.png'))]
-        chosen = []
-        for split in ('train', 'val', 'test_indomain', 'test_outdomain'):
-            pool = sorted(n for n in images if f'/{split}/image/' in n)
-            chosen.extend(random.Random(seed).sample(pool, min(count, len(pool))))
-        if not chosen:
-            raise RuntimeError('Expected outer ZIP image layout not found')
-        names = set(z.namelist())
-        members = set(chosen)
-        for name in chosen:
-            label = str(PurePosixPath(name.replace('/image/', '/label/')).with_suffix('.png'))
-            if label not in names:
-                raise RuntimeError(f'Label missing: {label}')
-            members.add(label)
-    records = extract_zip(f, target, {'repo': REPO, 'revision': REVISION, 'file': remote,
-                          'archive_sha256_expected': e['sha256'],
-                          'verification': 'selected member CRC + SHA256; full archive NOT downloaded/verified'}, members)
-    return records
-
-
-def pilot_oak_rgb(target, count, seed):
-    """Pilot-only: sample first 128 PNG local entries from volume z01, stratified by camera.
-
-    This is NOT a whole-dataset random sample and cannot substitute for a full download.
-    Known split ZIP uses local CRC/sizes; other layouts fail closed.
-    """
-    entry = next(e for e in checksums('OakInk-v1') if e['path'].endswith('.z01'))
-    remote = f'OakInk-v1/raw/{entry["path"]}'
-    f = RemoteFile(remote, entry['size'])
-    if f.read(4) != b'PK\x07\x08':
-        raise ValueError('Unexpected split ZIP signature')
-    pool = {}
-    seen = 0
-    while seen < 128:
-        header = f.read(30)
-        if len(header) != 30 or header[:4] != b'PK\x03\x04':
-            raise ValueError('Unsupported split ZIP local header; use full download + 7z')
-        _, version, flags, method, _, _, crc, compressed, size, nlen, xlen = struct.unpack('<4s5H3I2H', header)
-        name = f.read(nlen).decode('utf-8' if flags & 2048 else 'cp437')
-        f.read(xlen)
-        if flags & 9 or compressed == 0xffffffff or method not in (0, 8):
-            raise ValueError('Unsupported encrypted/descriptor/ZIP64 local member; use full extraction')
-        offset = f.tell()
-        if offset + compressed > entry['size']:
-            raise ValueError('Pilot member crosses volume; use full extraction')
-        if name.endswith('.png'):
-            seen += 1
-            camera = PurePosixPath(name).stem.rsplit('_', 1)[0]
-            pool.setdefault(camera, []).append((name, offset, compressed, size, method, crc))
-        f.seek(offset + compressed)
-    rng = random.Random(seed)
-    records = []
-    for camera in sorted(pool):
-        for name, offset, compressed, size, method, crc in rng.sample(pool[camera], min(count, len(pool[camera]))):
-            f.seek(offset)
-            packed = f.read(compressed)
-            content = packed if method == 0 else zlib.decompress(packed, -15)
-            if len(content) != size or zlib.crc32(content) & 0xffffffff != crc:
-                raise ValueError(f'Pilot member CRC/size mismatch: {name}')
-            path = safe_path(target / 'image', name)
-            path.parent.mkdir(parents=True, exist_ok=True)
-            path.write_bytes(content)
-            records.append({'path': path.relative_to(target).as_posix(), 'sha256': sha(path),
-                'source_locator': {'repo': REPO, 'revision': REVISION, 'file': remote, 'member': name,
-                    'compressed_member_offset': offset, 'archive_sha256_expected': entry['sha256'],
-                    'verification': 'selected member CRC + SHA256; complete volume NOT verified',
-                    'selection_scope': 'first 128 PNG entries in z01; camera-stratified, NOT global random'}})
-    return records
-
-
-def extract_local(dataset, raw, target):
-    entries = [e for e in checksums(dataset) if '#' not in e['path']]
-    for e in entries:
-        p = raw / e['path']
-        if not p.exists() or p.stat().st_size != e['size'] or sha(p) != e['sha256']:
-            raise RuntimeError(f'Download/verify raw first: {p}')
-    records = []
-    for e in entries:
-        p = raw / e['path']
-        if p.suffix != '.zip':
-            continue
-        origin = {'repo': REPO, 'revision': REVISION, 'file': f'{dataset}/raw/{e["path"]}',
-                  'archive_sha256': e['sha256']}
-        if dataset == 'EgoHOS':
-            with zipfile.ZipFile(p) as z:
-                members = {n for n in z.namelist() if '/image/' in n or '/label/' in n or '/contact/' in n}
-            records.extend(extract_zip(p, target, origin, members))
-        elif '/stream_zipped/' in e['path']:
-            tool = shutil.which('7zz') or shutil.which('7z')
-            if not tool:
-                raise RuntimeError('Install 7zip (7zz or 7z) for OakInk split ZIP volumes')
-            # Official immutable archives were SHA256 checked above. Never concatenate volumes.
-            dest = target / 'image'
-            subprocess.run([tool, 'x', '-y', '-o' + str(dest), str(p)], check=True)
-            volumes = [dict(file=f'{dataset}/raw/{v["path"]}', sha256=v['sha256'])
-                       for v in entries if '/stream_zipped/' in v['path']]
-            for image in sorted((dest / 'stream_release_v2').rglob('*.png')):
-                records.append({'path': image.relative_to(target).as_posix(), 'sha256': sha(image),
-                                'source_locator': dict(origin, volumes=volumes,
-                                                       member=image.relative_to(dest).as_posix())})
-        else:
-            dest = target / ('image' if '/image/' in e['path'] else 'shape' if '/shape/' in e['path'] else '')
-            batch = extract_zip(p, dest, origin)
-            for r in batch:
-                r['path'] = (dest.relative_to(target) / r['path']).as_posix()
-            records.extend(batch)
-    return records
-
-
-def main():
-    p = argparse.ArgumentParser(description=__doc__)
-    p.add_argument('command', choices=['download', 'extract', 'pilot-egohos', 'pilot-oakink-rgb', 'extract-annotations', 'fetch-oakink-objects'])
-    p.add_argument('--dataset', choices=['EgoHOS', 'OakInk-v1'], default='EgoHOS')
-    p.add_argument('--raw', type=Path)
-    p.add_argument('--out', type=Path)
-    p.add_argument('--archive', type=Path, help='Official anno_v2_1.zip for extract-annotations')
-    p.add_argument('--per-split', type=int, default=4)
-    p.add_argument('--seed', type=int, default=20260928)
-    a = p.parse_args()
-    if a.command == 'fetch-oakink-objects':
-        if not a.out or not (a.out / 'sources.jsonl').is_file():
-            p.error('Existing extracted --out with sources.jsonl required')
-        entry = next(e for e in checksums('OakInk-v1') if e['path'] == 'data/image/obj.zip')
-        remote = 'OakInk-v1/raw/' + entry['path']
-        archive = a.out.parent / 'raw-pilot' / remote
-        archive.parent.mkdir(parents=True, exist_ok=True)
-        if not archive.exists():
-            archive.write_bytes(RemoteFile(remote, entry['size']).read())
-        if sha(archive) != entry['sha256']:
-            raise ValueError('Object archive checksum mismatch')
-        rows = extract_zip(archive, a.out / 'image', {'repo': REPO, 'revision': REVISION,
-            'file': remote, 'archive_sha256': entry['sha256']})
-        with (a.out / 'sources.jsonl').open('a') as f:
-            for r in rows:
-                r['path'] = 'image/' + r['path']
-                f.write(json.dumps(r, ensure_ascii=False) + '\n')
-        print(f'Imported {len(rows)} object assets; original zip retained at {archive}')
-        return
-    if a.command == 'extract-annotations':
-        if not a.archive or not a.out or not (a.out / 'sources.jsonl').is_file():
-            p.error('--archive and existing extracted --out with sources.jsonl required')
-        with zipfile.ZipFile(a.archive) as z:
-            regular = [n for n in z.namelist() if not n.endswith('/')]
-            if not regular or not all(n.startswith('anno/') for n in regular):
-                p.error('Expected archive rooted at anno/; inspect actual layout before importing')
-            if any(safe_path(a.out / 'image', n).exists() for n in regular):
-                p.error('Annotation target already exists; refusing to overwrite')
-        rows = extract_zip(a.archive, a.out / 'image', {'file': str(a.archive.resolve()),
-            'archive_sha256': sha(a.archive), 'origin': 'user-supplied official annotation archive; not present in pinned HF raw'})
-        with (a.out / 'sources.jsonl').open('a') as f:
-            for r in rows:
-                r['path'] = 'image/' + r['path']
-                f.write(json.dumps(r, ensure_ascii=False) + '\n')
-        print(f'Imported {len(rows)} annotation files with provenance')
-        return
-    if a.command == 'download':
-        if not a.raw:
-            p.error('--raw required')
-        download(a.dataset, a.raw)
-        return
-    if not a.out or a.out.exists():
-        p.error('--out must be a new directory (raw is never modified)')
-    if a.command == 'extract' and not a.raw:
-        p.error('--raw required')
-    if a.per_split < 1:
-        p.error('--per-split must be positive')
-    a.out.mkdir(parents=True)
-    if a.command == 'pilot-egohos':
-        a.dataset = 'EgoHOS'
-        records = pilot_ego(a.out, a.per_split, a.seed)
-    elif a.command == 'pilot-oakink-rgb':
-        a.dataset = 'OakInk-v1'
-        records = pilot_oak_rgb(a.out, a.per_split, a.seed)
-    else:
-        records = extract_local(a.dataset, a.raw, a.out)
-    with (a.out / 'sources.jsonl').open('w') as f:
-        for r in records:
-            f.write(json.dumps(r, ensure_ascii=False) + '\n')
-    (a.out / 'acquisition.json').write_text(json.dumps({'dataset': a.dataset, 'revision': REVISION,
-        'command': a.command, 'seed': a.seed, 'files': len(records)}, indent=2))
-    print(f'{len(records)} extracted files -> {a.out}')
-
-
-if __name__ == '__main__':
-    main()
diff --git a/EgoHOS/shared-v1.0/script/media.py b/EgoHOS/shared-v1.0/script/media.py
deleted file mode 100644
index 2b518a8b9a0a244bde70fd66f74aa7f774e973d7..0000000000000000000000000000000000000000
--- a/EgoHOS/shared-v1.0/script/media.py
+++ /dev/null
@@ -1,155 +0,0 @@
-"""Lossless media I/O, bounded by one frame; no resizing or automatic rotation."""
-import hashlib
-import io
-import json
-import subprocess
-import time
-from fractions import Fraction
-from pathlib import Path
-
-import av
-import numpy as np
-from PIL import Image
-
-
-def rgb(path):
-    with Image.open(path) as im:
-        if im.mode not in ('RGB', 'L', 'P', 'RGBA'):
-            raise ValueError(f'Unsupported source bit depth/mode {im.mode}: {path}')
-        if (im.mode == 'RGBA' or 'transparency' in im.info) and im.convert('RGBA').getextrema()[3] != (255, 255):
-            raise ValueError(f'Nonopaque source alpha cannot silently be discarded: {path}')
-    with av.open(str(path)) as c:
-        frames = list(c.decode(video=0))
-        if len(frames) != 1 or any(x.bits > 8 for x in frames[0].format.components):
-            raise ValueError(f'Expected one 8-bit image: {path}')
-        return frames[0].to_ndarray(format='rgb24')
-
-
-def mask(path):
-    with Image.open(path) as im:
-        a = np.asarray(im)
-    if a.ndim != 2 or not np.isin(a, np.arange(9)).all():
-        raise ValueError(f'Unexpected EgoHOS label palette/values: {path}')
-    # Shared 0 means unassigned, so explicit source background 0 becomes 9.
-    return np.where(a == 0, 9, a).astype(np.uint16)
-
-
-def decode(path, labels=False):
-    with av.open(str(path)) as c:
-        for frame in c.decode(video=0):
-            yield frame.to_ndarray(format='gray16le' if labels else 'rgb24')
-
-
-def verify(path, sources, loader, labels=False):
-    start = time.monotonic()
-    it = iter(sources)
-    hashes = []
-    for frame in decode(path, labels):
-        source = next(it, None)
-        if source is None:
-            raise ValueError(f'Extra video frame in {path}')
-        original = loader(source)
-        if not np.array_equal(original, frame):
-            raise ValueError(f'Lossless round-trip mismatch at frame {len(hashes)}: {path}')
-        hashes.append(hashlib.sha256(frame.tobytes()).hexdigest())
-    if next(it, None) is not None or not hashes:
-        raise ValueError(f'Missing video frames: {path}')
-    return {'frames': len(hashes), 'all_decoded_frames_exact': True,
-            'ordered_decoded_sha256': hashes, 'decode_verify_seconds': time.monotonic() - start}
-
-
-def encode_ffmpeg(paths, target, loader, size, encoder, labels=False):
-    pix = 'gray16le' if labels else 'rgb24'
-    options = ['-c:v', 'ffv1', '-level', '3', '-pix_fmt', pix if labels else 'bgr0']
-    if encoder == 'libx264rgb':
-        options = ['-c:v', 'libx264rgb', '-crf', '0', '-preset', 'medium', '-g', '64', '-pix_fmt', 'rgb24']
-    command = ['ffmpeg', '-hide_banner', '-loglevel', 'error', '-y', '-f', 'rawvideo',
-               '-pixel_format', pix, '-video_size', f'{size[0]}x{size[1]}', '-framerate', '1',
-               '-i', 'pipe:0', '-an', *options, str(target)]
-    # stderr goes to a file, avoiding a full pipe deadlock on bad inputs.
-    with target.with_suffix('.log').open('wb') as log:
-        p = subprocess.Popen(command, stdin=subprocess.PIPE, stderr=log)
-        try:
-            for path in paths:
-                a = loader(path)
-                if list(a.shape[1::-1]) != size:
-                    raise ValueError(f'Changing image size: {path}')
-                p.stdin.write(a.astype(' hand-warehouse/1.0. Full runs require pilot review."""
-import argparse
-from collections import defaultdict
-from functools import lru_cache
-import hashlib
-import json
-import os
-import pickle
-import random
-import re
-import shlex
-import shutil
-import sys
-from pathlib import Path
-
-import numpy as np
-from PIL import Image
-import torch
-
-from acquire import sha, safe_path
-from media import encode
-
-HERE = Path(__file__).resolve().parent
-CAMS = ['north_east_color', 'south_east_color', 'north_west_color', 'south_west_color']
-LABELS = ['background', 'left_hand', 'right_hand', 'first_order_left', 'first_order_right',
-          'first_order_both', 'second_order_left', 'second_order_right', 'second_order_both']
-
-
-def dump(path, data):
-    path.parent.mkdir(parents=True, exist_ok=True)
-    path.write_text(json.dumps(data, indent=2, ensure_ascii=False, allow_nan=False) + '\n')
-
-
-def jsonl(path, rows):
-    path.parent.mkdir(parents=True, exist_ok=True)
-    with path.open('w') as f:
-        for row in rows:
-            f.write(json.dumps(row, ensure_ascii=False, allow_nan=False) + '\n')
-
-
-def load(path):
-    return json.loads(path.read_text())
-
-
-def tensor(root, ref, value):
-    p = root / ref
-    p.parent.mkdir(parents=True, exist_ok=True)
-    torch.save(torch.from_numpy(np.asarray(value).copy()).cpu(), p)
-
-
-def component(schema, ref, axes, valid, vaxes, source, method, kind='format_conversion', **extra):
-    return {'available': True, 'schema_id': schema, 'data_ref': ref, 'axes': axes,
-            'valid_ref': valid, 'valid_axes': vaxes, 'provenance': {'kind': kind, 'method': method},
-            'source_locator': source, **extra}
-
-
-def source_index(root):
-    path = root / 'sources.jsonl'
-    if not path.exists():
-        raise ValueError('Missing sources.jsonl; run acquire.py first or create a provenance inventory as documented')
-    result = {}
-    for line in path.read_text().splitlines():
-        row = json.loads(line)
-        if row['path'] in result:
-            raise ValueError(f'Duplicate source path: {row["path"]}')
-        safe_path(root, row['path'])
-        result[row['path']] = row
-    return result
-
-
-@lru_cache(maxsize=64)
-def source_digest(path, size, mtime_ns):
-    return sha(path)
-
-
-def locator(path, root, index):
-    key = path.relative_to(root).as_posix()
-    row = index.get(key)
-    if row is None:
-        raise ValueError(f'Missing provenance for {key}; add it to sources.jsonl')
-    stat = path.stat()
-    if source_digest(path, stat.st_size, stat.st_mtime_ns) != row['sha256']:
-        raise ValueError(f'Source changed: {path}')
-    return dict(row['source_locator'], extracted_path=key, extracted_sha256=row['sha256'])
-
-
-@lru_cache(maxsize=128)
-def find_one(root, name):
-    matches = [p for p in root.rglob(name) if p.is_dir()]
-    if len(matches) != 1:
-        raise ValueError(f'Expected one {name}/ directory, found {len(matches)}')
-    return matches[0]
-
-
-def inventory_ego(root):
-    rows = []
-    for split in ('train', 'val', 'test_indomain', 'test_outdomain'):
-        d = find_one(root, split)
-        images = sorted(p for p in (d / 'image').iterdir() if p.suffix.lower() in ('.jpg', '.jpeg', '.png'))
-        for p in images:
-            label = d / 'label' / (p.stem + '.png')
-            if not label.is_file():
-                raise ValueError(f'Image without segmentation: {p}')
-            rows.append({'image': p, 'mask': label, 'split': 'test' if split.startswith('test_') else split,
-                         'source_split': split, 'camera_id': 'ego', 'sample_id': split + '/' + p.name})
-    if not rows:
-        raise ValueError('No EgoHOS images')
-    return rows
-
-
-def inventory_oak(root, annotations, split_scheme):
-    stream = find_one(root, 'stream_release_v2')
-    rows = []
-    if annotations:
-        info = load(annotations / 'seq_all.json')
-        splits = {}
-        for split in ('train', 'val', 'test'):
-            relative = (f'split_train_val/{split_scheme}/example_split_{split}.json' if split != 'test'
-                        else f'split/{split_scheme}/seq_test.json')
-            file = annotations / relative
-            if not file.is_file():
-                raise ValueError(f'Official split missing: {file}')
-            for x in load(file):
-                key = tuple(x)
-                if key in splits:
-                    raise ValueError('Conflicting official splits')
-                splits[key] = (split, relative)
-        for x in info:
-            seq, subject, frame, camera = x
-            if camera not in range(4) or subject not in (0, 1):
-                raise ValueError(f'Unexpected official sample key: {x}')
-            name = '__'.join(map(str, x)).replace('/', '__')
-            split, split_ref = splits.get(tuple(x), ('unknown', None))
-            rows.append({'image': stream / seq / f'{CAMS[camera]}_{frame}.png',
-                'camera_id': CAMS[camera], 'sequence': seq, 'source_frame_id': str(frame),
-                'sample_id': name, 'subject': subject, 'split': split, 'source_split': split,
-                'annotation_key': name, 'split_ref': split_ref})
-    else:
-        for p in sorted(stream.rglob('*.png')):
-            m = re.fullmatch(r'(north_east|south_east|north_west|south_west)_color_(\d+)', p.stem)
-            if not m or len(p.relative_to(stream).parts) != 3:
-                raise ValueError(f'Unexpected OakInk image path: {p}')
-            rows.append({'image': p, 'camera_id': m[1] + '_color',
-                'sequence': p.parent.relative_to(stream).as_posix(), 'source_frame_id': m[2],
-                'sample_id': p.relative_to(stream).as_posix(), 'subject': None,
-                'split': 'unknown', 'source_split': 'unknown'})
-    if not rows:
-        raise ValueError('No OakInk images')
-    return rows
-
-
-def select_rows(rows, dataset, phase, count, seed):
-    if phase == 'full':
-        return rows
-    strata = defaultdict(list)
-    for r in rows:
-        strata[r['source_split'] if dataset == 'EgoHOS' else (r['split'], r['camera_id'])].append(r)
-    rng = random.Random(seed)
-    return [r for key in sorted(strata) for r in rng.sample(strata[key], min(count, len(strata[key])))]
-
-
-def groups(rows, dataset, chunk):
-    buckets = defaultdict(list)
-    for r in rows:
-        with Image.open(r['image']) as im:
-            size = im.size
-        if dataset == 'EgoHOS':
-            key = (r['source_split'], r['camera_id'], size)
-        else:
-            # Source frame-number intervals keep cameras under a common sequence namespace.
-            key = (r['sequence'], r['subject'], int(r['source_frame_id']) // chunk, r['camera_id'], size)
-        buckets[key].append(r)
-    result = []
-    for key in sorted(buckets, key=str):
-        batch = sorted(buckets[key], key=lambda r: (int(r.get('source_frame_id', 0)), r['sample_id']))
-        if dataset == 'EgoHOS':
-            for start in range(0, len(batch), chunk):
-                sequence = f'{key[0]}_{key[2][0]}x{key[2][1]}_{start//chunk:06d}'
-                result.append((sequence, key[1], key[2], batch[start:start+chunk]))
-        else:
-            name = key[0].replace('/', '__')
-            person = '' if key[1] is None else f'__person{key[1]}'
-            sequence = f'{name}{person}__window{key[2]:06d}_{key[4][0]}x{key[4][1]}'
-            result.append((sequence, key[3], key[4], batch))
-    return result
-
-
-def read_pickle(path):
-    # Only called with explicit --trust-pickle for source annotation archives.
-    with path.open('rb') as f:
-        return pickle.load(f)
-
-
-def numeric(value, shape, name):
-    if isinstance(value, torch.Tensor):
-        value = value.detach().cpu().numpy()
-    a = np.asarray(value, dtype=np.float32)
-    if a.shape != shape or not np.isfinite(a).all():
-        raise ValueError(f'{name}: expected finite {shape}, got {a.shape}')
-    return a
-
-
-def se3(value, name):
-    a = numeric(value, (4, 4), name)
-    if not (np.allclose(a[3], [0, 0, 0, 1], atol=1e-5) and
-            np.allclose(a[:3, :3].T @ a[:3, :3], np.eye(3), atol=1e-4) and
-            np.isclose(np.linalg.det(a[:3, :3]), 1, atol=1e-4)):
-        raise ValueError(f'Invalid rigid transform: {name}')
-    return a
-
-
-def copy_mesh(source, dst, root, index):
-    lines = source.read_text().splitlines()
-    materials = [n for line in lines if line.startswith('mtllib ') for n in shlex.split(line)[1:]]
-    missing_materials = [n for n in materials if not safe_path(source.parent, n).is_file()]
-    if missing_materials and len(missing_materials) != len(materials):
-        raise ValueError(f'Partly missing OBJ materials need review: {source}: {missing_materials}')
-    # Official OakInk loader uses skip_materials=True; dangling source references are documented.
-    if missing_materials:
-        lines = [line for line in lines if not line.startswith(('mtllib ', 'usemtl '))]
-    vertices = np.array([[float(v) for v in line.split()[1:4]] for line in lines if line.startswith('v ')])
-    if vertices.ndim != 2 or vertices.shape[1] != 3 or not np.isfinite(vertices).all():
-        raise ValueError(f'Invalid OBJ: {source}')
-    center = (vertices.min(0) + vertices.max(0)) / 2
-    shifted = iter(vertices - center)
-    output = []
-    for line in lines:
-        if line.startswith('v '):
-            v = next(shifted)
-            line = 'v ' + ' '.join(format(x, '.12g') for x in v) + (' ' + ' '.join(line.split()[4:]) if len(line.split()) > 4 else '')
-        output.append(line)
-    dst.parent.mkdir(parents=True, exist_ok=True)
-    dst.write_text('\n'.join(output) + '\n')
-    sources = [locator(source, root, index)]
-    for line in lines:
-        if line.startswith('mtllib '):
-            for name in shlex.split(line)[1:]:
-                mtl = safe_path(source.parent, name)
-                dest = safe_path(dst.parent, name)
-                dest.parent.mkdir(parents=True, exist_ok=True)
-                shutil.copy2(mtl, dest)
-                sources.append(locator(mtl, root, index))
-                for entry in mtl.read_text().splitlines():
-                    if entry.strip().startswith(('map_', 'bump ', 'disp ', 'decal ', 'norm ')):
-                        texture = shlex.split(entry)[-1]
-                        src = safe_path(mtl.parent, texture)
-                        to = safe_path(dest.parent, texture)
-                        to.parent.mkdir(parents=True, exist_ok=True)
-                        shutil.copy2(src, to)
-                        sources.append(locator(src, root, index))
-    return center.tolist(), sources, missing_materials
-
-
-def oak_object_asset(view, rows, meta, root, index):
-    objid = rows[0]['sequence'].split('/')[0].split('_')[0]
-    mesh = find_one(root, 'obj') / (objid + '.obj')
-    ref = f'annotation/object/{objid}/assets/{objid}.obj'
-    center, sources, missing_materials = copy_mesh(mesh, view / ref, root, index)
-    meta['components']['object_mesh'] = {'available': True, 'schema_id': 'mesh/obj/v1', 'data_ref': ref,
-        'axes': [], 'valid': True, 'unit': 'm', 'source_locator': sources,
-        'provenance': {'kind': 'format_conversion', 'method': 'subtract (min(vertices)+max(vertices))/2, official oikit load_object; remove dangling material bindings only if all referenced MTL files are absent in source',
-                       'subtracted_center': center, 'source_missing_materials': missing_materials}}
-    dump(view / f'annotation/object/{objid}/metainfo.json', {'object_id': objid, 'identity_scope': 'sequence',
-        'scope_id': meta['sequence_id'], 'source_object_id': objid, 'has_model': True,
-        'mesh_ref': ref, 'source_locator': sources, 'association_basis': 'official sequence prefix object ID'})
-
-
-def oak_geometry(view, rows, frames, meta, root, index, anno, split_scheme):
-    count = len(rows)
-    keys = [r['annotation_key'] for r in rows]
-    arrays = {'intrinsic': [], 'extrinsic': [], 'xyz': [], 'pose': []}
-    objid = rows[0]['sequence'].split('/')[0].split('_')[0]
-    for i, key in enumerate(keys):
-        sources = {}
-        for name in ('cam_intr', 'hand_j', 'general_info', 'obj_transf'):
-            p = anno / name / (key + '.pkl')
-            # Some documentation spells this directory obj_trasnf; code uses obj_transf.
-            if name == 'obj_transf' and not p.exists():
-                p = anno / 'obj_trasnf' / (key + '.pkl')
-            sources[name] = locator(p, root, index)
-            sources[name]['record'] = key
-            value = read_pickle(p)
-            if name == 'cam_intr':
-                k = numeric(value, (3, 3), name)
-                if not np.allclose(k[2], [0, 0, 1]) or min(k[0, 0], k[1, 1]) <= 0:
-                    raise ValueError('Invalid pinhole K')
-                arrays['intrinsic'].append(k)
-            elif name == 'hand_j':
-                arrays['xyz'].append(numeric(value, (21, 3), name))
-            elif name == 'obj_transf':
-                arrays['pose'].append(se3(value, name))
-            else:
-                arrays['extrinsic'].append(se3(value['cam_extr'], 'T_camera_from_world'))
-        frames[i]['annotation_sources'] = sources
-        frames[i]['source_subject_flag'] = rows[i]['subject']
-        if rows[i]['split_ref']:
-            frames[i]['split_source_locator'] = locator(anno / rows[i]['split_ref'], root, index)
-        frames[i]['annotation_matches'] = {name: {'source_frame_id': key, 'source_timestamp_ns': None,
-            'clock_domain': None, 'match_method': 'index_map', 'delta_ns': None} for name in sources}
-    arrays = {k: np.stack(v) for k, v in arrays.items()}
-    xyz = np.full((count, 2, 21, 3), np.nan, np.float32)
-    xyz[:, 1] = arrays['xyz']
-    valid = np.zeros((count, 2, 21), bool)
-    valid[:, 1] = True
-    uv = np.full((count, 2, 21, 2), np.nan, np.float32)
-    homogeneous = np.einsum('tij,tkj->tki', arrays['intrinsic'], arrays['xyz'])
-    projectable = homogeneous[:, :, 2] > 0
-    uv[:, 1][projectable] = (homogeneous[:, :, :2][projectable] / homogeneous[:, :, 2:][projectable])
-    uv_valid = valid.copy()
-    uv_valid[:, 1] &= projectable
-    common_source = {'file': 'camera/frames.jsonl', 'fields': ['annotation_sources'], 'records': 'all frame_index rows'}
-    policy = {'rule': 'source present AND finite/numerical checks; no additional official QA input',
-              'scope': 'per joint for keypoints; per frame for camera/pose',
-              'official_split_is_not_visibility': True, 'local_excluded_frame_indices': []}
-    specs = [('intrinsic', 'camera/pinhole/v1', 'camera/intrinsic.pt', arrays['intrinsic'], np.ones(count, bool), ['T', 3, 3]),
-             ('extrinsic', 'transform/se3/v1', 'camera/extrinsic.pt', arrays['extrinsic'], np.ones(count, bool), ['T', 4, 4]),
-             ('keypoints_xyz', 'keypoints/xyz/v1', 'annotation/keypoints/xyz.pt', xyz, valid, ['T', 'hand', 'keypoint', 'xyz']),
-             ('keypoints_uv', 'keypoints/uv/v1', 'annotation/keypoints/uv.pt', uv, uv_valid, ['T', 'hand', 'keypoint', 'uv']),
-             ('object_pose', 'object/rigid/v1', f'annotation/object/{objid}/pose.pt', arrays['pose'], np.ones(count, bool), ['T', 4, 4])]
-    for name, schema, ref, data, ok, axes in specs:
-        vref = ref.replace('.pt', '_valid.pt')
-        tensor(view, ref, data)
-        tensor(view, vref, ok)
-        extra = {'valid_policy': policy}
-        if name.startswith('keypoints'):
-            extra.update(keypoint_schema='mano21/v1', coordinate_frame='camera',
-                         unit='pixel' if name.endswith('uv') else 'm')
-        if name in ('extrinsic', 'object_pose'):
-            extra.update(unit='m', convention='T_camera_from_world' if name == 'extrinsic' else 'T_camera_from_object')
-        meta['components'][name] = component(schema, ref, axes, vref, ['T', 'hand', 'keypoint'] if ok.ndim == 3 else ['T'],
-            common_source, 'K @ official camera-space hand_j; positive Z only' if name.endswith('uv') else 'official per-sample array, float32; right-hand slot 1',
-            kind='derived' if name.endswith('uv') else 'format_conversion', **extra)
-    oak_object_asset(view, rows, meta, root, index)
-    meta['camera'].update(model='pinhole', schema_id='camera/pinhole/v1')
-    meta.update(split_scheme=split_scheme, split_source_locator={'file': 'camera/frames.jsonl', 'field': 'split_source_locator'})
-
-
-def build_view(out, seq, cam, size, rows, args, index):
-    view = out / 'data' / seq / cam
-    view.mkdir(parents=True)
-    frames = []
-    for i, r in enumerate(rows):
-        src = locator(r['image'], args.input, index)
-        frames.append({'frame_index': i, 'sample_id': r['sample_id'], 'source_frame_id': r.get('source_frame_id', r['image'].name),
-            'timestamp_ns': None, 'clock_domain': None, 'source_locator': src,
-            'split': r['split'], 'source_split': r['source_split']})
-        if 'mask' in r:
-            frames[-1]['mask_source_locator'] = locator(r['mask'], args.input, index)
-    source_ref = {'file': 'camera/frames.jsonl', 'field': 'source_locator', 'records': 'all frame_index rows'}
-    count = len(rows)
-    storage, proof = encode([r['image'] for r in rows], view / 'observation/rgb.mkv')
-    tensor(view, 'observation/rgb_valid.pt', np.ones(count, bool))
-    comps = {'rgb': component('rgb/uint8/v1', 'observation/rgb.mkv', ['T', 'height', 'width', 'RGB'],
-        'observation/rgb_valid.pt', ['T'], source_ref, 'exact source JPEG remux or exact RGB round-trip re-encoding', storage=storage)}
-    ego = args.dataset == 'EgoHOS'
-    meta = {'schema_version': 'hand-warehouse/1.0', 'dataset_id': args.dataset, 'release_id': 'shared-v1.0',
-        'sequence_id': seq, 'camera_id': cam, 'sample_type': 'image' if ego else 'video',
-        'num_frames': count, 'hand_slots': ['left', 'right'], 'view_type': 'ego' if ego else 'exo',
-        'split': rows[0]['split'] if len({r['split'] for r in rows}) == 1 else 'unknown',
-        'sampling': {'type': ('single' if count == 1 else 'independent') if ego else 'sparse',
-            'source_fps': None, 'frames_ref': 'camera/frames.jsonl', 'strategy': args.phase,
-            'seed': args.seed, 'timestamps': 'unknown; no timestamps inferred from filenames or MKV PTS'},
-        'camera': {'model': 'unknown', 'schema_id': None, 'image_size': list(size)}, 'components': comps}
-    proofs = {'rgb': proof}
-    missing = {'depth': 'not provided by selected source image release',
-        'mano': 'not exported: model profile/flat-hand-mean/translation conversion not empirically verified',
-        'visibility': 'no independent source visibility input; never inferred from valid',
-        'contact': 'no verified per-entity or vertex contact annotations in selected input'}
-    if ego:
-        meta.update(split_scheme='EgoHOS-official-four-directories', split_source_locator=source_ref)
-        storage, proofs['segment'] = encode([r['mask'] for r in rows], view / 'annotation/segment/mask.mkv', labels=True)
-        tensor(view, 'annotation/segment/mask_valid.pt', np.ones(count, bool))
-        labels = [{'mask_value': 9 if i == 0 else i, 'category_id': name,
-                   'entity_id': 'hand_left' if i == 1 else 'hand_right' if i == 2 else None,
-                   'part_id': None, 'source_instance_id': None, 'source_attributes': {'source_class_id': i}}
-                  for i, name in enumerate(LABELS)]
-        jsonl(view / 'annotation/segment/instances.jsonl', [{'frame_index': i, 'labels': labels} for i in range(count)])
-        comps['segment'] = component('segment/uint16_labels/v1', 'annotation/segment/mask.mkv', ['T', 'height', 'width'],
-            'annotation/segment/mask_valid.pt', ['T'], {'file': 'camera/frames.jsonl', 'field': 'mask_source_locator'},
-            'source 0 background -> 9; 1..8 unchanged; exact uint16 round-trip',
-            storage=storage, segmentation_type='semantic', mapping_ref='annotation/segment/instances.jsonl',
-            coverage={'kind': 'partial', 'meaning': 'hands and selected interacting object categories; background is source task background, not exhaustive object annotation'},
-            valid_policy={'rule': 'paired source label exists, shape and integer categories verified; no additional official QA supplied', 'local_excluded_frame_indices': []})
-        missing.update(intrinsic='source calibration absent', extrinsic='source calibration absent',
-                       keypoints='source keypoints absent', object='semantic classes do not establish instance identity/mesh/pose',
-                       contact='raw package lacks contact/; interaction-order categories are not per-entity contact labels')
-    elif args.annotations:
-        oak_geometry(view, rows, frames, meta, args.input, index, args.annotations, args.split_scheme)
-    else:
-        missing.update(intrinsic='anno_v2_1.zip missing', extrinsic='anno_v2_1.zip missing',
-            keypoints='anno_v2_1.zip missing', object_pose='anno_v2_1.zip missing; canonical mesh does not establish camera-space pose')
-        if args.object_assets_present:
-            oak_object_asset(view, rows, meta, args.input, index)
-        else:
-            missing['object_mesh'] = 'image/obj.zip exists upstream but has not been downloaded/extracted into this input'
-        meta['split_reason'] = 'official split files are in missing anno_v2_1.zip; unknown is not a new split'
-    for name, reason in missing.items():
-        comps[name] = {'available': False, 'reason': reason}
-    jsonl(view / 'camera/frames.jsonl', frames)
-    dump(view / 'metainfo.json', meta)
-    dump(view / 'encoding_validation.json', proofs)
-    return view.relative_to(out).as_posix()
-
-
-def recipe(args):
-    names = ['preprocess.py', 'media.py', 'validate.py', 'acquire.py', 'schema.json', 'CONTRACT.md']
-    return {'dataset': args.dataset, 'chunk': args.chunk, 'seed': args.seed,
-            'annotations': bool(args.annotations), 'split_scheme': args.split_scheme,
-            'code_sha256': {n: sha(HERE / n) for n in names}}
-
-
-def approve(root, reviewer):
-    from validate import check_inventory
-    report = root / 'doc/validation/report.json'
-    d = load(report)
-    check_inventory(root, d['file_hashes'])
-    if not reviewer.strip() or not d['automatic_validation_passed']:
-        raise ValueError('Reviewer and passing automatic checks required')
-    # A human runs this only AFTER viewing the HTML. It is a record, not automatic approval.
-    dump(root / 'doc/validation/human_review.json', {'reviewer': reviewer, 'phase': d['phase'],
-        'report_sha256': sha(report), 'recipe': d['recipe'], 'approved': True,
-        'statement': 'I inspected the listed HTML sample IDs and accept the documented scope and limitations.'})
-
-
-def require_review(root):
-    from validate import check_inventory
-    report = root / 'doc/validation/report.json'
-    reviewed = load(root / 'doc/validation/human_review.json')
-    if not reviewed.get('approved') or reviewed['report_sha256'] != sha(report):
-        raise ValueError('Missing/stale human review; inspect HTML and run approve')
-    result = load(report)
-    check_inventory(root, result['file_hashes'])
-    return result
-
-
-def run(args):
-    if args.dataset == 'OakInk-v1' and not args.annotations and not args.allow_rgb_only:
-        raise ValueError('OakInk annotations absent. Supply --annotations + --trust-pickle, or explicitly select --allow-rgb-only (limited scope).')
-    if args.annotations and (not args.trust_pickle or not args.annotations.resolve().is_relative_to(args.input.resolve())):
-        raise ValueError('--annotations must be under --input and requires --trust-pickle; pickle can execute code')
-    if args.out.exists():
-        raise ValueError('Output exists; choose a fresh directory. Incomplete output is never reused as a release.')
-    expected = recipe(args)
-    if args.phase == 'full':
-        if not args.pilot:
-            raise ValueError('Full processing requires --pilot with a human review')
-        reviewed = require_review(args.pilot)
-        if reviewed['phase'] != 'pilot' or reviewed['recipe'] != expected:
-            raise ValueError('Pilot recipe does not match; re-run and review pilot after code/config changes')
-        acquisition = args.input / 'acquisition.json'
-        if not acquisition.exists() or load(acquisition).get('command') != 'extract' or load(acquisition).get('dataset') != args.dataset:
-            raise ValueError('Full processing requires complete, verified acquire.py extract input, not a partial pilot download')
-    index = source_index(args.input)
-    args.object_assets_present = any(p.is_dir() for p in args.input.rglob('obj')) if args.dataset == 'OakInk-v1' else False
-    if args.phase == 'full':
-        for pf in (args.pilot / 'data').glob('*/*/camera/frames.jsonl'):
-            for line in pf.read_text().splitlines():
-                f = json.loads(line)
-                for field in ('source_locator', 'mask_source_locator'):
-                    if field in f:
-                        old = f[field]
-                        current = index.get(old['extracted_path'])
-                        if current is None or current['sha256'] != old['extracted_sha256']:
-                            raise ValueError('Full input differs from reviewed pilot source samples')
-    rows = inventory_ego(args.input) if args.dataset == 'EgoHOS' else inventory_oak(args.input, args.annotations, args.split_scheme)
-    if args.phase == 'full' and args.dataset == 'EgoHOS':
-        expected_counts = dict(train=8993, val=1124, test_indomain=1126, test_outdomain=500)
-        actual_counts = {s: sum(r['source_split'] == s for r in rows) for s in expected_counts}
-        if actual_counts != expected_counts:
-            raise ValueError(f'Incomplete/wrong EgoHOS full inventory: {actual_counts}; expected {expected_counts}')
-    ids = [r['sample_id'] for r in rows]
-    if len(set(ids)) != len(ids):
-        raise ValueError('Duplicate sample IDs')
-    selected = select_rows(rows, args.dataset, args.phase, args.per_stratum, args.seed)
-    plan = groups(selected, args.dataset, args.chunk)
-    raw_bytes = sum(r['image'].stat().st_size for r in selected)
-    # Conservative preflight, then check again before each view; no claim of exact compression ratio.
-    estimated = max(raw_bytes * 4, max(w*h*len(rs)*8 for _, _, (w, h), rs in plan)) + 1024**3
-    args.out.parent.mkdir(parents=True, exist_ok=True)
-    if shutil.disk_usage(args.out.parent).free < estimated:
-        raise ValueError(f'Estimated working/output space {estimated/1e9:.1f} GB exceeds free space')
-    args.out.mkdir()
-    (args.out / 'script').mkdir()
-    (args.out / 'doc').mkdir()
-    for p in HERE.glob('*.py'):
-        shutil.copy2(p, args.out / 'script' / p.name)
-    for name in ['schema.json', 'CONTRACT.md', 'requirements.txt', 'README.md',
-                 'EgoHOS_DATA_MAPPING.md', 'OakInk-v1_DATA_MAPPING.md']:
-        shutil.copy2(HERE / name, args.out / 'script' / name)
-    shutil.copytree(HERE / 'source_evidence', args.out / 'script/source_evidence')
-    for name in ['schema.json', 'CONTRACT.md']:
-        shutil.copy2(HERE / name, args.out / 'doc' / name)
-    mapping = HERE / f'{args.dataset}_DATA_MAPPING.md'
-    for name in ['DATA_MAPPING.md', 'RAW_TO_SHARED.md']:
-        shutil.copy2(mapping, args.out / 'doc' / name)
-    shutil.copy2(HERE / 'README.md', args.out / 'doc/RUNBOOK.md')
-    views = []
-    for i, (seq, cam, size, batch) in enumerate(plan):
-        if shutil.disk_usage(args.out).free < size[0]*size[1]*len(batch)*8 + 512*1024**2:
-            raise RuntimeError('Low disk; stopped before next view, output remains incomplete')
-        views.append(build_view(args.out, seq, cam, size, batch, args, index))
-        print(f'{i+1}/{len(plan)} {seq}/{cam} T={len(batch)}', flush=True)
-    manifest = {'dataset': args.dataset, 'phase': args.phase, 'recipe': expected,
-        'inventory_samples': len(rows), 'selected_samples': len(selected), 'views': views,
-        'input_sources_sha256': sha(args.input / 'sources.jsonl'),
-        'sample_selection': {'seed': args.seed, 'per_stratum': args.per_stratum, 'pilot_strata': 'official source split or split x camera'},
-        'source_inventory': {'sample_ids_sha256': hashlib.sha256('\n'.join(sorted(ids)).encode()).hexdigest()},
-        'human_status': 'pending', 'command': sys.argv,
-        'limitations': ['OakInk MANO conversion not implemented until model-profile and translation parity verified',
-                       'OakInk-Shape/OakBase excluded: object-space grasp/knowledge assets are not synchronized camera observations',
-                       'No source visibility/contact guessed from geometry or masks']}
-    if args.phase == 'full':
-        shutil.copy2(args.pilot / 'doc/validation/human_review.json', args.out / 'doc/pilot_human_review.json')
-    dump(args.out / 'doc/build.json', manifest)
-    from validate import validate_release
-    validate_release(args.out, args.per_stratum, args.seed, source_root=args.input)
-
-
-def main():
-    p = argparse.ArgumentParser(description=__doc__)
-    sub = p.add_subparsers(dest='command', required=True)
-    b = sub.add_parser('build')
-    b.add_argument('--dataset', choices=['EgoHOS', 'OakInk-v1'], required=True)
-    b.add_argument('--input', type=Path, required=True)
-    b.add_argument('--out', type=Path, required=True)
-    b.add_argument('--phase', choices=['pilot', 'full'], default='pilot')
-    b.add_argument('--pilot', type=Path)
-    b.add_argument('--chunk', type=int, default=128)
-    b.add_argument('--per-stratum', type=int, default=4)
-    b.add_argument('--seed', type=int, default=20260928)
-    b.add_argument('--annotations', type=Path)
-    b.add_argument('--split-scheme', choices=['split0', 'split1', 'split2', 'split0_ho'], default='split0')
-    b.add_argument('--trust-pickle', action='store_true')
-    b.add_argument('--allow-rgb-only', action='store_true')
-    a = sub.add_parser('approve', help='Human review record; never run automatically')
-    a.add_argument('--release', type=Path, required=True)
-    a.add_argument('--reviewer', required=True)
-    u = sub.add_parser('upload', help='Upload reviewed FULL release to the requested raw repository')
-    u.add_argument('--release', type=Path, required=True)
-    args = p.parse_args()
-    if args.command == 'build':
-        if args.chunk < 1 or args.per_stratum < 1:
-            p.error('chunk and per-stratum must be positive')
-        run(args)
-    elif args.command == 'approve':
-        approve(args.release, args.reviewer)
-    else:
-        from validate import check_inventory
-        d = require_review(args.release)
-        if d['phase'] != 'full':
-            raise ValueError('Pilot releases cannot be uploaded as shared-v1.0')
-        check_inventory(args.release, d['file_hashes'])
-        from huggingface_hub import HfApi
-        target = f'{d["dataset"]}/shared-v1.0'
-        api = HfApi()
-        # Refuse to merge into an existing release with stale files.
-        existing = api.list_repo_files('ParityLab/Hand-Datasets-Raw', repo_type='dataset')
-        if any(x.startswith(target + '/') for x in existing):
-            raise ValueError(f'Remote {target} already exists; publish a new version or review replacement separately')
-        from huggingface_hub import CommitOperationAdd
-        files = sorted((p for p in args.release.rglob('*') if p.is_file() and '__pycache__' not in p.parts),
-                       key=lambda p: (p.relative_to(args.release).parts[0] == 'doc', p.as_posix()))
-        # Bounded commits avoid a single enormous commit; publish build/review documents last.
-        for start in range(0, len(files), 128):
-            operations = [CommitOperationAdd(path_in_repo=target + '/' + f.relative_to(args.release).as_posix(),
-                                              path_or_fileobj=f) for f in files[start:start+128]]
-            result = api.create_commit(repo_id='ParityLab/Hand-Datasets-Raw', repo_type='dataset',
-                operations=operations, commit_message=f'Add reviewed {target} files {start+1}-{min(start+128, len(files))}')
-            print(result, flush=True)
-
-
-if __name__ == '__main__':
-    main()
diff --git a/EgoHOS/shared-v1.0/script/requirements.txt b/EgoHOS/shared-v1.0/script/requirements.txt
deleted file mode 100644
index 4b5857677355ac2fa0c9796e63d4cface6fe445f..0000000000000000000000000000000000000000
--- a/EgoHOS/shared-v1.0/script/requirements.txt
+++ /dev/null
@@ -1,5 +0,0 @@
-numpy>=1.26
-Pillow>=10
-torch>=2.2
-av>=14
-huggingface_hub>=0.27
diff --git a/EgoHOS/shared-v1.0/script/resample_validation.py b/EgoHOS/shared-v1.0/script/resample_validation.py
deleted file mode 100644
index acf5c9bfa6c5b5d7842197cd026f6da5fadac17a..0000000000000000000000000000000000000000
--- a/EgoHOS/shared-v1.0/script/resample_validation.py
+++ /dev/null
@@ -1,294 +0,0 @@
-#!/usr/bin/env python3
-"""Validate all shared frames; render capped samples of every available modality."""
-import argparse
-from collections import defaultdict
-import hashlib
-import html
-import json
-import random
-from pathlib import Path
-
-import numpy as np
-from PIL import Image, ImageDraw
-import torch
-
-from acquire import sha
-from media import decode, rgb
-
-COLORS = [(0, 0, 0), (255, 70, 80), (50, 150, 255), (255, 180, 40), (80, 220, 100),
-          (220, 80, 220), (140, 90, 40), (40, 220, 220), (150, 150, 255), (70, 70, 70)]
-EDGES = [(0, i) for i in (1, 5, 9, 13, 17)] + [(i, i+1) for i in range(1, 21) if i % 4 != 0]
-
-
-def read_json(path):
-    return json.loads(path.read_text())
-
-
-def read_jsonl(path):
-    return [json.loads(line) for line in path.read_text().splitlines()]
-
-
-def pt(path):
-    t = torch.load(path, map_location='cpu', weights_only=True)
-    if not isinstance(t, torch.Tensor) or t.device.type != 'cpu':
-        raise ValueError(f'Expected CPU Tensor: {path}')
-    return t.numpy()
-
-
-def local_ref(view, ref):
-    p = view / ref
-    if not p.resolve().is_relative_to(view.resolve()) or not p.is_file():
-        raise ValueError(f'Broken/unsafe reference: {ref}')
-    return p
-
-
-def check_inventory(root, expected):
-    actual = {p.relative_to(root).as_posix(): sha(p) for p in root.rglob('*') if p.is_file() and '__pycache__' not in p.parts
-              and p.relative_to(root).as_posix() not in ('doc/validation/report.json', 'doc/validation/human_review.json')}
-    if actual != expected:
-        raise ValueError('Release contents changed after validation; revalidate and repeat human review')
-
-
-def validate_view(view, registry):
-    m = read_json(view / 'metainfo.json')
-    frames = read_jsonl(view / 'camera/frames.jsonl')
-    t = m['num_frames']
-    if t < 1 or m['hand_slots'] != ['left', 'right'] or len(frames) != t:
-        raise ValueError('Frame count/hand-slot error')
-    if m['view_type'] not in ('ego', 'exo', 'unknown') or m['schema_version'] != registry['schema_version']:
-        raise ValueError('Invalid schema/view_type')
-    if [r['frame_index'] for r in frames] != list(range(t)) or len({r['sample_id'] for r in frames}) != t:
-        raise ValueError('Invalid/duplicate frame IDs')
-    for f in frames:
-        for key in ['timestamp_ns', 'clock_domain', 'source_locator', 'source_frame_id']:
-            if key not in f:
-                raise ValueError(f'Missing frame field {key}')
-    proofs = read_json(view / 'encoding_validation.json')
-    for name, c in m['components'].items():
-        if not c['available']:
-            if not c.get('reason'):
-                raise ValueError('Missing unavailable reason')
-            continue
-        schema = registry['components'][c['schema_id']]
-        data = local_ref(view, c['data_ref'])
-        valid = pt(local_ref(view, c['valid_ref'])) if 'valid_ref' in c else None
-        if valid is not None and valid.dtype != bool:
-            raise ValueError('Validity must be bool')
-        if 'valid_shape' in schema and valid is not None:
-            shape = tuple(t if x == 'T' else x for x in schema['valid_shape'])
-            if valid.shape != shape:
-                raise ValueError(f'{name} valid shape {valid.shape} != {shape}')
-        if data.suffix == '.pt':
-            a = pt(data)
-            shape = tuple(t if x == 'T' else x for x in schema['shape'])
-            if a.shape != shape or a.dtype != np.dtype(schema['dtype']):
-                raise ValueError(f'{name} tensor shape/dtype mismatch')
-            ok = np.broadcast_to(valid.reshape(valid.shape + (1,)*(a.ndim-valid.ndim)), a.shape)
-            if not np.isfinite(a[ok]).all() or not np.isnan(a[~ok]).all():
-                raise ValueError(f'{name}: finite valid / NaN invalid policy failed')
-            if c['schema_id'] in ('object/rigid/v1', 'transform/se3/v1'):
-                r = a[valid, :3, :3]
-                if not (np.allclose(np.swapaxes(r, 1, 2) @ r, np.eye(3), atol=1e-4) and np.allclose(np.linalg.det(r), 1, atol=1e-4)):
-                    raise ValueError('SE3 check failed')
-        elif data.suffix == '.mkv':
-            storage = c['storage']
-            if storage['profile'] not in schema['allowed_storage_profiles']:
-                raise ValueError('Unregistered storage profile')
-            for required in registry['video_metadata']['required']:
-                if required not in storage:
-                    raise ValueError(f'Missing storage field {required}')
-            chosen = next(x for x in proofs[name]['candidates'] if x['encoder'] == proofs[name]['selected'])
-            hashes = []
-            mapping = read_jsonl(local_ref(view, c['mapping_ref'])) if name == 'segment' else None
-            if mapping is not None and (len(mapping) != t or [x['frame_index'] for x in mapping] != list(range(t))):
-                raise ValueError('Segmentation mapping timeline differs')
-            for i, a in enumerate(decode(data, name == 'segment')):
-                if list(a.shape[1::-1]) != m['camera']['image_size']:
-                    raise ValueError('Video dimensions differ from camera')
-                hashes.append(hashlib.sha256(a.tobytes()).hexdigest())
-                if mapping is not None:
-                    codes = [x['mask_value'] for x in mapping[i]['labels']]
-                    if len(codes) != len(set(codes)) or not set(np.unique(a)).difference((0, 65535)).issubset(codes):
-                        raise ValueError('Invalid segment mapping')
-            if len(hashes) != t or hashes != chosen['ordered_decoded_sha256']:
-                raise ValueError('Video differs from exact source comparison proof')
-        elif data.suffix == '.obj':
-            if not any(line.startswith('v ') for line in data.read_text().splitlines()):
-                raise ValueError('Empty mesh')
-    return m, frames
-
-
-def clean_numbers(x):
-    if isinstance(x, np.generic):
-        return clean_numbers(x.item())
-    if isinstance(x, np.ndarray):
-        return clean_numbers(x.tolist())
-    if isinstance(x, list):
-        return [clean_numbers(v) for v in x]
-    if isinstance(x, float) and not np.isfinite(x):
-        return None
-    return x
-
-
-def preview_view(root, view, m, frames, target, source_root=None, selected_indices=None):
-    videos = {'rgb': decode(view / 'observation/rgb.mkv')}
-    c = m['components']
-    if c.get('segment', {}).get('available'):
-        videos['segment'] = decode(view / c['segment']['data_ref'], True)
-    arrays = {name: pt(view / component['data_ref']) for name, component in c.items()
-              if component['available'] and component.get('data_ref', '').endswith('.pt')}
-    instances = read_jsonl(view / c['segment']['mapping_ref']) if 'segment' in videos else None
-    objects = [read_json(p) for p in (view / 'annotation/object').glob('*/metainfo.json')]
-    cards = []
-    mesh = None
-    if c.get('object_mesh', {}).get('available'):
-        mesh = np.array([[float(v) for v in line.split()[1:4]] for line in (view / c['object_mesh']['data_ref']).read_text().splitlines() if line.startswith('v ')])
-        # Display-only point sampling; full OBJ asset is retained unchanged in data/.
-        mesh = mesh[::max(1, len(mesh)//3000)]
-    for i, frame in enumerate(frames):
-        rgb_array = next(videos['rgb'])
-        current_mask = next(videos['segment']) if 'segment' in videos else None
-        if selected_indices is not None and i not in selected_indices:
-            continue
-        name = hashlib.sha256(f'{view.relative_to(root)}/{i}'.encode()).hexdigest()[:20]
-        image = Image.fromarray(rgb_array)
-        overlay = image.copy()
-        if 'segment' in videos:
-            mask = current_mask
-            color = np.asarray(COLORS, dtype=np.uint8)[mask]
-            mix = rgb_array.copy()
-            foreground = (mask != 9) & (mask != 0)
-            mix[foreground] = (rgb_array[foreground] * .45 + color[foreground] * .55).astype(np.uint8)
-            overlay = Image.fromarray(mix)
-            Image.fromarray(color).save(target / f'{name}-mask.png')
-        draw = ImageDraw.Draw(overlay)
-        if 'keypoints_uv' in arrays:
-            pts = arrays['keypoints_uv'][i, 1]
-            for a, b in EDGES:
-                if np.isfinite(pts[[a, b]]).all():
-                    draw.line([tuple(pts[a]), tuple(pts[b])], fill=(0, 255, 100), width=2)
-            for k, xy in enumerate(pts):
-                if np.isfinite(xy).all():
-                    x, y = xy
-                    draw.ellipse((x-2, y-2, x+2, y+2), fill=(255, 50, 50))
-                    draw.text((x+3, y), str(k), fill=(255, 255, 255))
-        objcam = None
-        if mesh is not None and 'object_pose' in arrays:
-            pose = arrays['object_pose'][i]
-            objcam = mesh @ pose[:3, :3].T + pose[:3, 3]
-            projected = objcam @ arrays['intrinsic'][i].T
-            for x, y, z in projected[projected[:, 2] > 0]:
-                draw.point((float(x/z), float(y/z)), fill=(255, 210, 0))
-        image.save(target / f'{name}-rgb.png')
-        has_overlay = 'segment' in videos or 'keypoints_uv' in arrays or objcam is not None
-        if has_overlay:
-            overlay.save(target / f'{name}-overlay.png')
-        raw_ref = None
-        if source_root:
-            src = source_root / frame['source_locator']['extracted_path']
-            if sha(src) != frame['source_locator']['extracted_sha256']:
-                raise ValueError('Preview source differs from build source')
-            Image.fromarray(rgb(src)).save(target / f'{name}-source.png')
-            raw_ref = f'{name}-source.png'
-        values = {key: clean_numbers(a[i]) for key, a in arrays.items()}
-        valid = {key: clean_numbers(pt(view / item['valid_ref'])[i]) for key, item in c.items()
-                 if item['available'] and 'valid_ref' in item}
-        cards.append({'id': frame['sample_id'], 'view': view.relative_to(root).as_posix(),
-            'rgb': f'{name}-rgb.png', 'overlay': f'{name}-overlay.png' if has_overlay else None, 'source': raw_ref,
-            'mask': f'{name}-mask.png' if 'segment' in videos else None,
-            'frame': frame, 'arrays': values, 'valid': valid, 'metainfo': m,
-            'annotations': {'segment_instances': instances[i] if instances else None, 'object_metainfo': objects},
-            'object_points_camera': clean_numbers(objcam) if objcam is not None else None,
-            'object_points_canonical': clean_numbers(mesh) if mesh is not None else None})
-    return cards
-
-
-HTML = '''手物数据预处理检验
-
-
手物数据预处理检验
待人工审核。自动无损校验通过 ≠ 标注语义或几何已获人工确认。只展示本报告列出的抽检样本；全量报告最多展示 192 帧。未提供模态及原因在元信息中明确列出。

-
检查：源图与解码 RGB、左右手、标签颜色、源文件定位、valid、相机参数；有几何时检查 2D 投影和可旋转 3D 点云。绿色为手关键点，黄色为物体。3D 点云仅为显示抽样，完整模型见 data。

- 
-
源 RGB
源文件固定解码 RGB
处理后 RGB
shared MKV 解码 RGB
分割或几何叠加
分割 / 手关键点 / 物体叠加
语义标签图
标签图：1 左手红；2 右手蓝；3–8 交互物体；9 源背景灰

-
相机系 3D（拖动旋转）
物体规范坐标系 3D（拖动旋转）

-
逐帧来源、时间与 split
所有数值标注与有效性
所有组件 / 缺失原因 / 相机 / 存储与映射

-'''
-
-
-def sampled_indices(count, wanted, seed):
-    if wanted >= count:
-        return set(range(count))
-    fixed = {0, count - 1, count // 4, count // 2, 3 * count // 4}
-    rng = random.Random(seed)
-    remaining = [i for i in range(count) if i not in fixed]
-    fixed.update(rng.sample(remaining, wanted - len(fixed)))
-    return fixed
-
-
-def validate_release(root, per_stratum=4, seed=20260928, all_views=False, source_root=None,
-                     max_visual_frames=192):
-    build = read_json(root / 'doc/build.json')
-    registry = read_json(root / 'doc/schema.json')
-    results = {}
-    strata = defaultdict(list)
-    for relative in build['views']:
-        m, f = validate_view(root / relative, registry)
-        results[relative] = (m, f)
-        strata[(f[0]['source_split'], m['camera_id'])].append(relative)
-    rng = random.Random(seed)
-    chosen = sorted(results) if all_views or build['phase'] == 'pilot' else sorted(
-        v for s in sorted(strata) for v in rng.sample(strata[s], min(per_stratum, len(strata[s]))))
-    target = root / 'doc/validation'
-    target.mkdir(parents=True, exist_ok=True)
-    # Revalidation invalidates old human review, even if the numeric result stays the same.
-    (target / 'human_review.json').unlink(missing_ok=True)
-    for p in target.glob('*.png'):
-        p.unlink()
-    cards = []
-    allocation = {relative: None for relative in chosen}
-    if not all_views and build['phase'] == 'full' and max_visual_frames:
-        if max_visual_frames < len(chosen):
-            raise ValueError('max_visual_frames must cover every selected view')
-        base, extra = divmod(max_visual_frames, len(chosen))
-        for position, relative in enumerate(chosen):
-            count = len(results[relative][1])
-            wanted = min(count, base + (position < extra))
-            stable_seed = int.from_bytes(hashlib.sha256(f'{seed}/{relative}'.encode()).digest()[:8], 'big')
-            allocation[relative] = sampled_indices(count, wanted, stable_seed)
-    for relative in chosen:
-        m, f = results[relative]
-        cards.extend(preview_view(root, root / relative, m, f, target, source_root, allocation[relative]))
-    payload = json.dumps(cards, ensure_ascii=False, allow_nan=False).replace('<', '\\u003c')
-    (target / 'index.html').write_text(HTML.replace('__DATA__', payload))
-    hashes = {p.relative_to(root).as_posix(): sha(p) for p in root.rglob('*') if p.is_file() and '__pycache__' not in p.parts
-              and p.relative_to(root).as_posix() not in ('doc/validation/report.json', 'doc/validation/human_review.json')}
-    report = {'dataset': build['dataset'], 'phase': build['phase'], 'recipe': build['recipe'],
-        'automatic_validation_passed': True, 'human_review': 'pending',
-        'all_views_checked': len(results), 'all_frames_checked': sum(m['num_frames'] for m, _ in results.values()),
-        'numeric_scope': 'every component, frame, shape, validity, registered schema and exact video decoded hash',
-        'visual_scope': 'all available modalities; deterministic frame samples from selected views',
-        'visual_selected_views': chosen, 'visual_sample_ids': [c['id'] for c in cards],
-        'visual_policy': {'maximum_frames': None if all_views else max_visual_frames,
-            'selection': 'per selected view: first, last, quartiles, then fixed-seed sample without replacement',
-            'frame_indices_by_view': {k: sorted(v) if v is not None else 'all' for k, v in allocation.items()}},
-        'seed': seed, 'file_hashes': hashes, 'limitations': build['limitations']}
-    (target / 'report.json').write_text(json.dumps(report, ensure_ascii=False, indent=2) + '\n')
-    print(f'Validated {report["all_frames_checked"]} frames; HTML: {target / "index.html"}', flush=True)
-    return report
-
-
-if __name__ == '__main__':
-    p = argparse.ArgumentParser(description=__doc__)
-    p.add_argument('release', type=Path)
-    p.add_argument('--per-stratum', type=int, default=4)
-    p.add_argument('--seed', type=int, default=20260928)
-    p.add_argument('--all', action='store_true', help='Generate previews for every frame of every view; potentially large')
-    p.add_argument('--source-root', type=Path, help='Extracted input, to show source RGB alongside shared RGB')
-    p.add_argument('--max-visual-frames', type=int, default=192,
-                   help='Full-release visual sample cap; automatic validation still checks every frame')
-    a = p.parse_args()
-    validate_release(a.release, a.per_stratum, a.seed, a.all, a.source_root, a.max_visual_frames)
diff --git a/EgoHOS/shared-v1.0/script/schema.json b/EgoHOS/shared-v1.0/script/schema.json
deleted file mode 100644
index edb7cf7ce8e8e282d1fbfb5b39ef02a60321d2fb..0000000000000000000000000000000000000000
--- a/EgoHOS/shared-v1.0/script/schema.json
+++ /dev/null
@@ -1,880 +0,0 @@
-{
-  "schema_version": "hand-warehouse/1.0",
-  "validity_revision": "usable-annotation-2026-09-20",
-  "annotation_validity": {
-    "meaning": "annotation usable for supervision, not merely record presence",
-    "formula": "source_annotation_present AND numerical_checks_pass AND applicable_official_QA_pass AND NOT explicitly_reviewed_local_exclusion",
-    "without_official_qa": "omit QA term; declare source rules; do not fabricate QA",
-    "policy_field": "components..valid_policy",
-    "visibility_is_independent": true,
-    "invalid_float_value": "NaN",
-    "hot3d": "broadcast per-camera frame manual QA conservatively to hand/object labels and pose-derived visibility; retain RGB and source calibration; keep native QA in raw and review report",
-    "hot3d_visibility": "native visibility_ratio[%] already ranges from 0 to 1; do not divide by 100"
-  },
-  "hand_slots": [
-    "left",
-    "right"
-  ],
-  "view_metadata": {
-    "required_fields": [
-      "view_type"
-    ],
-    "view_type_values": [
-      "ego",
-      "exo",
-      "unknown"
-    ],
-    "view_type_policy": "required per camera view; use ego or exo whenever the source data or capture setup establishes the viewpoint; use unknown only when no trustworthy source determines it; never omit or guess"
-  },
-  "keypoints": {
-    "mano21/v1": {
-      "count": 21,
-      "names": [
-        "wrist",
-        "thumb_1",
-        "thumb_2",
-        "thumb_3",
-        "thumb_4",
-        "index_1",
-        "index_2",
-        "index_3",
-        "index_4",
-        "middle_1",
-        "middle_2",
-        "middle_3",
-        "middle_4",
-        "ring_1",
-        "ring_2",
-        "ring_3",
-        "ring_4",
-        "little_1",
-        "little_2",
-        "little_3",
-        "little_4"
-      ],
-      "source_index_map": null,
-      "note": "adapter maps official MANO joint and fingertip convention"
-    },
-    "rhd21/v1": {
-      "count": 21,
-      "names": [
-        "wrist",
-        "thumb_1",
-        "thumb_2",
-        "thumb_3",
-        "thumb_4",
-        "index_1",
-        "index_2",
-        "index_3",
-        "index_4",
-        "middle_1",
-        "middle_2",
-        "middle_3",
-        "middle_4",
-        "ring_1",
-        "ring_2",
-        "ring_3",
-        "ring_4",
-        "little_1",
-        "little_2",
-        "little_3",
-        "little_4"
-      ],
-      "source_index_map_per_hand": [
-        0,
-        4,
-        3,
-        2,
-        1,
-        8,
-        7,
-        6,
-        5,
-        12,
-        11,
-        10,
-        9,
-        16,
-        15,
-        14,
-        13,
-        20,
-        19,
-        18,
-        17
-      ]
-    }
-  },
-  "camera": {
-    "opencv_fisheye4": {
-      "K": [
-        3,
-        3
-      ],
-      "distortion": [
-        "k1",
-        "k2",
-        "k3",
-        "k4"
-      ],
-      "projection": "theta=atan(r); theta_d=theta*(1+k1*theta^2+k2*theta^4+k3*theta^6+k4*theta^8); source ReInterHand"
-    },
-    "pinhole": {
-      "K": [
-        3,
-        3
-      ]
-    },
-    "fisheye624": {
-      "parameters": [
-        "f",
-        "cx",
-        "cy",
-        "k0",
-        "k1",
-        "k2",
-        "k3",
-        "k4",
-        "k5",
-        "p0",
-        "p1",
-        "s0",
-        "s1",
-        "s2",
-        "s3"
-      ]
-    },
-    "rational8": {
-      "K": [
-        3,
-        3
-      ],
-      "distortion": [
-        "k1",
-        "k2",
-        "p1",
-        "p2",
-        "k3",
-        "k4",
-        "k5",
-        "k6"
-      ]
-    }
-  },
-  "segmentation": {
-    "segment/uint16_labels/v1": {
-      "storage": "mask.mkv",
-      "dtype": "uint16",
-      "mapping": "instances.jsonl",
-      "valid_shape": [
-        "T"
-      ],
-      "required_metadata": [
-        "segmentation_type",
-        "coverage",
-        "mapping_ref",
-        "storage"
-      ],
-      "shape": [
-        "T",
-        "H",
-        "W"
-      ],
-      "reserved_codes": {
-        "0": "unassigned",
-        "65535": "ignore"
-      },
-      "region_codes": [
-        1,
-        65534
-      ],
-      "allowed_storage_profiles": [
-        "mkv/uint16_ffv1/v1"
-      ]
-    },
-    "segment/instance_polygons/v1": {
-      "storage": "polygons.jsonl",
-      "mapping": "instances.jsonl",
-      "frame_keys": [
-        "frame_index",
-        "instances"
-      ],
-      "instance_keys": [
-        "mask_value",
-        "polygons"
-      ],
-      "coordinate_unit": "pixel",
-      "overlap_allowed": true,
-      "valid_shape": [
-        "T"
-      ],
-      "required_metadata": [
-        "segmentation_type",
-        "coverage",
-        "mapping_ref"
-      ],
-      "polygon_shape": [
-        "N",
-        2
-      ],
-      "holes_supported": false
-    },
-    "segment/foreground_intensity/v1": {
-      "storage": "mask.mkv",
-      "dtype": "uint16",
-      "value_range": [
-        0,
-        255
-      ],
-      "normalization_scale": 0.00392156862745098,
-      "axes": [
-        "T",
-        "height",
-        "width"
-      ],
-      "meaning": "native hand foreground intensity; individual hand or union declared in metadata; not instance codes or calibrated probability",
-      "zero": "background",
-      "full_scale": "foreground",
-      "mapping": "foreground_category in component metadata",
-      "valid_shape": [
-        "T"
-      ],
-      "required_metadata": [
-        "segmentation_type",
-        "coverage",
-        "value_range",
-        "normalization_scale",
-        "foreground_category",
-        "entity_id",
-        "storage"
-      ],
-      "shape": [
-        "T",
-        "H",
-        "W"
-      ],
-      "allowed_storage_profiles": [
-        "mkv/uint16_ffv1/v1"
-      ]
-    }
-  },
-  "note": "Registry for hand-warehouse/1.0. Read CONTRACT.md for field semantics. This is not a JSON Schema document or executable validator.",
-  "components": {
-    "mano/axis_angle61/v1": {
-      "storage": "pt",
-      "dtype": "float32",
-      "shape": [
-        "T",
-        2,
-        61
-      ],
-      "valid_shape": [
-        "T",
-        2
-      ],
-      "unit": "m",
-      "angle_unit": "rad",
-      "coordinate_frame": "camera",
-      "layout": {
-        "pose_axis_angle": [
-          0,
-          48
-        ],
-        "shape": [
-          48,
-          58
-        ],
-        "translation": [
-          58,
-          61
-        ]
-      }
-    },
-    "keypoints/uv/v1": {
-      "storage": "pt",
-      "dtype": "float32",
-      "shape": [
-        "T",
-        2,
-        21,
-        2
-      ],
-      "valid_shape": [
-        "T",
-        2,
-        21
-      ],
-      "unit": "pixel",
-      "required_metadata": [
-        "keypoint_schema"
-      ]
-    },
-    "keypoints/xyz/v1": {
-      "storage": "pt",
-      "dtype": "float32",
-      "shape": [
-        "T",
-        2,
-        21,
-        3
-      ],
-      "valid_shape": [
-        "T",
-        2,
-        21
-      ],
-      "unit": "m",
-      "required_metadata": [
-        "keypoint_schema"
-      ]
-    },
-    "depth/z_float32/v1": {
-      "storage": "mkv",
-      "dtype": "float32",
-      "shape": [
-        "T",
-        "H",
-        "W"
-      ],
-      "valid_shape": [
-        "T",
-        "H",
-        "W"
-      ],
-      "unit": "m",
-      "depth_type": "z",
-      "pixel_grid": "current_rgb",
-      "coordinate_frame": "current_rgb_camera",
-      "valid_storage": "mkv",
-      "allowed_storage_profiles": [
-        "mkv/depth_float32_bits/v1"
-      ],
-      "allowed_valid_storage_profiles": [
-        "mkv/bool_ffv1/v1"
-      ],
-      "required_metadata": [
-        "storage",
-        "valid_storage",
-        "depth_origin"
-      ],
-      "depth_origin_values": [
-        "measured",
-        "rendered",
-        "unknown"
-      ]
-    },
-    "transform/se3/v1": {
-      "storage": "pt",
-      "dtype": "float32",
-      "shape": [
-        "T",
-        4,
-        4
-      ],
-      "valid_shape": [
-        "T"
-      ],
-      "unit": "m",
-      "required_metadata": [
-        "convention"
-      ]
-    },
-    "object/rigid/v1": {
-      "storage": "pt",
-      "dtype": "float32",
-      "shape": [
-        "T",
-        4,
-        4
-      ],
-      "valid_shape": [
-        "T"
-      ],
-      "unit": "m",
-      "required_metadata": [
-        "convention"
-      ]
-    },
-    "camera/pinhole/v1": {
-      "storage": "pt",
-      "dtype": "float32",
-      "shape": [
-        "T",
-        3,
-        3
-      ],
-      "valid_shape": [
-        "T"
-      ]
-    },
-    "camera/rational8/v1": {
-      "storage": "pt",
-      "dtype": "float32",
-      "shape": [
-        "T",
-        3,
-        3
-      ],
-      "valid_shape": [
-        "T"
-      ]
-    },
-    "camera/opencv_fisheye4/v1": {
-      "storage": "pt",
-      "dtype": "float32",
-      "shape": [
-        "T",
-        3,
-        3
-      ],
-      "valid_shape": [
-        "T"
-      ]
-    },
-    "camera/fisheye624/v1": {
-      "storage": "pt",
-      "dtype": "float32",
-      "shape": [
-        "T",
-        15
-      ],
-      "valid_shape": [
-        "T"
-      ]
-    },
-    "camera/distortion8/v1": {
-      "storage": "pt",
-      "dtype": "float32",
-      "shape": [
-        "T",
-        8
-      ],
-      "valid_shape": [
-        "T"
-      ]
-    },
-    "camera/fisheye4_distortion/v1": {
-      "storage": "pt",
-      "dtype": "float32",
-      "shape": [
-        "T",
-        4
-      ],
-      "valid_shape": [
-        "T"
-      ]
-    },
-    "object/joint_state/v1": {
-      "storage": "pt",
-      "dtype": "float32",
-      "shape": [
-        "T",
-        "J"
-      ],
-      "valid_shape": [
-        "T",
-        "J"
-      ],
-      "required_metadata": [
-        "joint_order"
-      ],
-      "unit_rule": "revolute radians; prismatic metres; mixed types declared per joint"
-    },
-    "object_keypoints/camera/v1": {
-      "storage": "pt",
-      "dtype": "float32",
-      "shape": [
-        "T",
-        "K",
-        3
-      ],
-      "valid_shape": [
-        "T",
-        "K"
-      ],
-      "unit": "m",
-      "coordinate_frame": "camera",
-      "required_metadata": [
-        "keypoint_schema"
-      ]
-    },
-    "object/dimensions/v1": {
-      "storage": "pt",
-      "dtype": "float32",
-      "shape": [
-        "T",
-        3
-      ],
-      "valid_shape": [
-        "T"
-      ],
-      "unit": "m",
-      "required_metadata": [
-        "dimensions_semantics"
-      ],
-      "axis_order": [
-        "length",
-        "width",
-        "height"
-      ],
-      "scale_rule": "do not apply to mesh without source-supported size/scale relation"
-    },
-    "object_keypoints/template/v1": {
-      "storage": "pt",
-      "dtype": "float32",
-      "shape": [
-        "K",
-        3
-      ],
-      "valid_shape": [
-        "K"
-      ],
-      "unit": "m",
-      "coordinate_frame": "object",
-      "static": true,
-      "required_metadata": [
-        "keypoint_schema"
-      ]
-    },
-    "mesh/obj/v1": {
-      "storage": "obj",
-      "unit": "m",
-      "static": true,
-      "valid_shape": [],
-      "dependencies": "MTL and textures retained under owning object"
-    },
-    "rgb/uint8/v1": {
-      "storage": "mkv",
-      "dtype": "uint8",
-      "shape": [
-        "T",
-        "H",
-        "W",
-        3
-      ],
-      "valid_shape": [
-        "T"
-      ],
-      "color_order": "RGB",
-      "allowed_storage_profiles": [
-        "mkv/mjpeg_copy/v1",
-        "mkv/source_copy/v1",
-        "mkv/h264_rgb_lossless/v1",
-        "mkv/ffv1_rgb/v1"
-      ],
-      "required_metadata": [
-        "storage"
-      ]
-    },
-    "contact/relations/v1": {
-      "storage": "jsonl",
-      "valid_shape": [
-        "T"
-      ],
-      "frame_keys": [
-        "frame_index",
-        "relations"
-      ],
-      "absence_semantics": "no record is not a negative contact annotation"
-    },
-    "contact/vertex_region/v1": {
-      "storage": "pt",
-      "dtype": "bool",
-      "shape": [
-        "T",
-        "V"
-      ],
-      "valid_shape": [
-        "T",
-        "V"
-      ],
-      "required_metadata": [
-        "source_geometry_ref",
-        "target_geometry_ref",
-        "topology_id"
-      ],
-      "pilot_status": "defined_not_empirically_validated"
-    },
-    "contact/vertex_distance/v1": {
-      "storage": "pt",
-      "dtype": "float32",
-      "shape": [
-        "T",
-        "V"
-      ],
-      "valid_shape": [
-        "T",
-        "V"
-      ],
-      "unit": "m",
-      "required_metadata": [
-        "source_geometry_ref",
-        "target_geometry_ref",
-        "topology_id",
-        "distance_definition"
-      ],
-      "pilot_status": "defined_not_empirically_validated"
-    },
-    "object/articulated/v1": {
-      "storage": "json",
-      "required_keys": [
-        "parts",
-        "joints"
-      ],
-      "part_keys": [
-        "part_id",
-        "parent_id",
-        "has_model",
-        "mesh_ref"
-      ],
-      "hierarchy_semantics": "declare mechanical articulation or semantic containment; containment alone does not imply joints",
-      "acyclic": true
-    },
-    "segment/uint16_labels/v1": {
-      "storage": "mkv",
-      "dtype": "uint16",
-      "mapping": "instances.jsonl",
-      "valid_shape": [
-        "T"
-      ],
-      "required_metadata": [
-        "segmentation_type",
-        "coverage",
-        "mapping_ref",
-        "storage"
-      ],
-      "shape": [
-        "T",
-        "H",
-        "W"
-      ],
-      "reserved_codes": {
-        "0": "unassigned",
-        "65535": "ignore"
-      },
-      "region_codes": [
-        1,
-        65534
-      ],
-      "allowed_storage_profiles": [
-        "mkv/uint16_ffv1/v1"
-      ]
-    },
-    "segment/instance_polygons/v1": {
-      "storage": "jsonl",
-      "mapping": "instances.jsonl",
-      "frame_keys": [
-        "frame_index",
-        "instances"
-      ],
-      "instance_keys": [
-        "mask_value",
-        "polygons"
-      ],
-      "coordinate_unit": "pixel",
-      "overlap_allowed": true,
-      "valid_shape": [
-        "T"
-      ],
-      "required_metadata": [
-        "segmentation_type",
-        "coverage",
-        "mapping_ref"
-      ],
-      "polygon_shape": [
-        "N",
-        2
-      ],
-      "holes_supported": false
-    },
-    "segment/foreground_intensity/v1": {
-      "storage": "mkv",
-      "dtype": "uint16",
-      "value_range": [
-        0,
-        255
-      ],
-      "normalization_scale": 0.00392156862745098,
-      "axes": [
-        "T",
-        "height",
-        "width"
-      ],
-      "meaning": "native hand foreground intensity; individual hand or union declared in metadata; not instance codes or calibrated probability",
-      "zero": "background",
-      "full_scale": "foreground",
-      "mapping": "foreground_category in component metadata",
-      "valid_shape": [
-        "T"
-      ],
-      "required_metadata": [
-        "segmentation_type",
-        "coverage",
-        "value_range",
-        "normalization_scale",
-        "foreground_category",
-        "entity_id",
-        "storage"
-      ],
-      "shape": [
-        "T",
-        "H",
-        "W"
-      ],
-      "allowed_storage_profiles": [
-        "mkv/uint16_ffv1/v1"
-      ]
-    }
-  },
-  "storage_revision": "lossless-video-2026-09-18",
-  "sampling": {
-    "image": {
-      "single": {
-        "T": 1
-      },
-      "independent": {
-        "T": ">=2",
-        "required_frame_fields": [
-          "sample_id",
-          "source_locator"
-        ],
-        "temporal_relationship": false
-      },
-      "source_fps": null
-    },
-    "video": {
-      "sampling_types": [
-        "dense",
-        "sparse"
-      ]
-    }
-  },
-  "storage_profiles": {
-    "mkv/mjpeg_copy/v1": {
-      "container": "matroska",
-      "codec": "mjpeg",
-      "method": "stream_copy_from_source_jpeg",
-      "logical_dtype": "uint8",
-      "decoded_pixel_format": "rgb24",
-      "validation": [
-        "source_jpeg_packet_sha256_exact",
-        "all_packet_count_order_and_dimensions_exact",
-        "deterministic_decoded_rgb_sample_exact",
-        "pilot_and_final_selected_whole_sequences_decoded_rgb_exact"
-      ],
-      "validation_policy": {
-        "id": "jpeg-packets-all-rgb-sample16/v1",
-        "sample_count_per_view": 16,
-        "short_views": "all_frames_if_T_less_than_16",
-        "fixed_indices": "0,T-1,T//4,T//2,3*T//4, deduplicated",
-        "remaining_indices": "sample without replacement to min(T,16) using Python random.Random(seed)",
-        "seed": "first 8 bytes of SHA256(sequence_id/camera_id/20260920), big-endian integer",
-        "report": "policy, exact selected frame indices, seed, separate packet and pixel coverage",
-        "legacy_all_frame_pixel_proofs": "still accepted; preserve historical evidence"
-      }
-    },
-    "mkv/source_copy/v1": {
-      "container": "matroska",
-      "codec": "source_codec_declared_in_metadata",
-      "method": "stream_copy_only",
-      "logical_dtype": "uint8",
-      "decoded_pixel_format": "rgb24",
-      "validation": [
-        "no_reencoding",
-        "all_decoded_rgb_frames_exact",
-        "presentation_frame_order_exact"
-      ]
-    },
-    "mkv/h264_rgb_lossless/v1": {
-      "container": "matroska",
-      "codec": "h264",
-      "encoder": "libx264rgb",
-      "crf": 0,
-      "decoded_pixel_format": "rgb24",
-      "logical_dtype": "uint8",
-      "gop": "declared_in_encoder_parameters",
-      "validation": [
-        "all_decoded_rgb_frames_exact"
-      ],
-      "forbidden": [
-        "lossy_rate_control",
-        "rgb_to_yuv420_subsampling"
-      ]
-    },
-    "mkv/ffv1_rgb/v1": {
-      "container": "matroska",
-      "codec": "ffv1",
-      "decoded_pixel_format": "rgb24",
-      "logical_dtype": "uint8",
-      "validation": [
-        "all_decoded_rgb_frames_exact"
-      ]
-    },
-    "mkv/depth_float32_bits/v1": {
-      "container": "matroska",
-      "codec": "ffv1",
-      "pixel_format": "gray16le",
-      "logical_dtype": "float32",
-      "logical_shape": [
-        "T",
-        "H",
-        "W"
-      ],
-      "encoded_shape": [
-        "T",
-        "H",
-        "2*W"
-      ],
-      "packing": "IEEE754 little-endian float32 bits; low uint16 in first W columns, high uint16 in last W columns",
-      "decode": "reinterpret_float32(uint32(low) | (uint32(high) << 16))",
-      "validation": [
-        "all_float32_bits_exact_including_nan"
-      ]
-    },
-    "mkv/bool_ffv1/v1": {
-      "container": "matroska",
-      "codec": "ffv1",
-      "pixel_format": "gray",
-      "logical_dtype": "bool",
-      "stored_values": [
-        0,
-        1
-      ],
-      "validation": [
-        "all_bool_values_exact"
-      ]
-    },
-    "mkv/uint16_ffv1/v1": {
-      "container": "matroska",
-      "codec": "ffv1",
-      "pixel_formats": [
-        "gray",
-        "gray16le"
-      ],
-      "logical_dtype": "uint16",
-      "gray_condition": "all values <=255; decode by exact uint8-to-uint16 promotion",
-      "validation": [
-        "all_integer_values_exact"
-      ]
-    }
-  },
-  "video_metadata": {
-    "required": [
-      "profile",
-      "codec",
-      "pixel_format",
-      "encoded_size",
-      "decoder",
-      "encoder_parameters",
-      "source_lossy"
-    ],
-    "source_lossy_values": [
-      true,
-      false,
-      "unknown"
-    ],
-    "timebase_role": "index_only",
-    "lossless_reference": "source compressed packets or fixed-decoder source pixels; depth uses normalized standard float32 bits",
-    "selection": "choose smaller complete candidate only after exact roundtrip validation"
-  }
-}
diff --git a/EgoHOS/shared-v1.0/script/source_evidence/EgoHOS-README.md b/EgoHOS/shared-v1.0/script/source_evidence/EgoHOS-README.md
deleted file mode 100644
index a007bd520a176142b09e8e7badda0997bf74858b..0000000000000000000000000000000000000000
--- a/EgoHOS/shared-v1.0/script/source_evidence/EgoHOS-README.md
+++ /dev/null
@@ -1,34 +0,0 @@
-# EgoHOS 数据集说明
-
-官方仓库说明在 `../script/README.md`。项目页：https://www.seas.upenn.edu/~shzhou2/projects/eos_dataset/ 。论文：Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications（ECCV 2022）。
-
-仓库 README 给出的解压布局是 `train` / `val` / `test_indomain` / `test_outdomain`，每组含 `image`、`label`、`contact`。本次保留的 zip 里没有 `contact/`，只有 `image/` 与 `label/`，计数见 `SOURCES.md`。
-
-`label` 的类别 id（摘自仓库 README）：
-
-```
-0 -> background
-1 -> left hand
-2 -> right hand
-3 -> 1st order interacting object by left hand
-4 -> 1st order interacting object by right hand
-5 -> 1st order interacting object by both hands
-6 -> 2nd order interacting object by left hand
-7 -> 2nd order interacting object by right hand
-8 -> 2nd order interacting object by both hands
-```
-
-README 另写明：contact 标注里值为 1 的像素是稠密接触区域。本包没有单独的 contact 图。
-
-引用：
-
-```
-@inproceedings{zhang2022fine,
-  title={Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications},
-  author={Zhang, Lingzhi and Zhou, Shenghao and Stent, Simon and Shi, Jianbo},
-  booktitle={European Conference on Computer Vision},
-  pages={127--145},
-  year={2022},
-  organization={Springer}
-}
-```
diff --git a/EgoHOS/shared-v1.0/script/source_evidence/EgoHOS-SOURCES.md b/EgoHOS/shared-v1.0/script/source_evidence/EgoHOS-SOURCES.md
deleted file mode 100644
index 5ee91d31be37cd0c2a85a1af0ddb52e8aa918a5c..0000000000000000000000000000000000000000
--- a/EgoHOS/shared-v1.0/script/source_evidence/EgoHOS-SOURCES.md
+++ /dev/null
@@ -1,21 +0,0 @@
-# EgoHOS raw 来源
-
-官方仓库：https://github.com/owenzlz/EgoHOS ，本地 `../script/` 固定在提交 `cd9bdf427ef1d94582334ebba4188d5aa18433e7`（2023-11-02，`main`，与 `origin/main` 一致）。数据集由该提交中的 `download_datasets.sh` 下载：脚本用 `gdown` 拉取 Google Drive 文件 `1sk0TVEhZESNF67OW3fz9D5coqpIWkwuK`（链接为 `view?usp=sharing`），在 `script/data/` 解压后删除 zip。
-
-当前保留的是未再解压到 `raw/data/` 之外的外层包。`script/data/` 里只剩一次失败下载留下的 HTML：`view?usp=sharing`（80534 字节），不是数据集。
-
-拷贝后用 `archive_checksums.json` 对一下 MD5。没有单独的 `download_manifest.json`：这里不是多包下载计划，只有下面两个字节范围。
-
-- 外层包 `../data/egohos_dataset.zip`：4495628086 字节；MD5 `cbfbe909341d691880955f3d9d316404`；SHA256 `6d2ba7eff16120dc6d42fb14e438406f421c381470d2fea88164e8fff1e570c5`。`ZipFile.testzip()` 全部成员 CRC 通过。根目录只有 `data/`，其中同时放着官方 zip 和一份已解压副本。
-- 内嵌官方包 `data/egohos_dataset.zip`（存储、未再压缩）：2247683249 字节；MD5 `53e52744ce67fb54f8d5c34f0029a2e0`；SHA256 `a3fbfffa9c1506763041dff8001e4c56469b6a407e3fa6f2f694128651b1fc72`。该摘要由外层包内对应字节区间计算，不是 Google Drive 页面公布的摘要。
-
-内嵌包中央目录 23498 条，四个划分都只有 `image/` 与 `label/`，没有仓库 README 所写的 `contact/`：
-
-| 划分 | image | label |
-|---|---:|---:|
-| train | 8993 | 8993 |
-| val | 1124 | 1124 |
-| test_indomain | 1126 | 1126 |
-| test_outdomain | 500 | 500 |
-
-外层包里的解压副本与上表文件数相同，并多包一层 `data/` 前缀。
diff --git a/EgoHOS/shared-v1.0/script/source_evidence/EgoHOS-archive_checksums.json b/EgoHOS/shared-v1.0/script/source_evidence/EgoHOS-archive_checksums.json
deleted file mode 100644
index 59654ec827406caefbe9cd72554dd639ef21a991..0000000000000000000000000000000000000000
--- a/EgoHOS/shared-v1.0/script/source_evidence/EgoHOS-archive_checksums.json
+++ /dev/null
@@ -1,18 +0,0 @@
-{
-  "files": [
-    {
-      "path": "data/egohos_dataset.zip",
-      "size": 4495628086,
-      "md5": "cbfbe909341d691880955f3d9d316404",
-      "sha256": "6d2ba7eff16120dc6d42fb14e438406f421c381470d2fea88164e8fff1e570c5",
-      "zip_crc": "passed_all_members"
-    },
-    {
-      "path": "data/egohos_dataset.zip#data/egohos_dataset.zip",
-      "size": 2247683249,
-      "md5": "53e52744ce67fb54f8d5c34f0029a2e0",
-      "sha256": "a3fbfffa9c1506763041dff8001e4c56469b6a407e3fa6f2f694128651b1fc72",
-      "note": "外层包内未再压缩的官方 zip，按字节区间计算，不是单独落盘的文件"
-    }
-  ]
-}
diff --git a/EgoHOS/shared-v1.0/script/source_evidence/OFFICIAL_CODE_REFERENCES.json b/EgoHOS/shared-v1.0/script/source_evidence/OFFICIAL_CODE_REFERENCES.json
deleted file mode 100644
index 336db9a3a43c7d1a1c3b4ba96f6bd1297b9ceac0..0000000000000000000000000000000000000000
--- a/EgoHOS/shared-v1.0/script/source_evidence/OFFICIAL_CODE_REFERENCES.json
+++ /dev/null
@@ -1,14 +0,0 @@
-{
-  "oikit/oi_image/oi_image.py": {
-    "url": "https://github.com/oakink/OakInk/blob/73dc7c85dfd006a4e6fc51fa8182d864a08af1ca/oikit/oi_image/oi_image.py",
-    "read_content_sha256": "ffdd211dcc1980b228d8905089da73d828f62c3fa41afef10fc3b843ba54278b"
-  },
-  "oikit/oi_image/utils.py": {
-    "url": "https://github.com/oakink/OakInk/blob/73dc7c85dfd006a4e6fc51fa8182d864a08af1ca/oikit/oi_image/utils.py",
-    "read_content_sha256": "36a6c81970b3c3c5f8881d7cdb523a2968e86c6b2e671d1e9444c2a27544fe83"
-  },
-  "docs/datasets.md": {
-    "url": "https://github.com/oakink/OakInk/blob/73dc7c85dfd006a4e6fc51fa8182d864a08af1ca/docs/datasets.md",
-    "read_content_sha256": "db6a26ae9c32d081fa4dbcca679680cf58617442bd0d7c124d22424167f31aad"
-  }
-}
\ No newline at end of file
diff --git a/EgoHOS/shared-v1.0/script/source_evidence/OakInk-v1-README.md b/EgoHOS/shared-v1.0/script/source_evidence/OakInk-v1-README.md
deleted file mode 100644
index d8f76a3eda395a25f2a58d6b9c6c99d5b6ce28d9..0000000000000000000000000000000000000000
--- a/EgoHOS/shared-v1.0/script/source_evidence/OakInk-v1-README.md
+++ /dev/null
@@ -1,5 +0,0 @@
-# OakInk-v1
-
-Hugging Face：https://huggingface.co/datasets/oakink/OakInk-v1 。项目 https://oakink.net ；代码 https://github.com/oakink/OakInk ；论文 https://arxiv.org/abs/2203.15709 。许可（本地 `../data/README.md` / 数据集卡）：cc-by-nc-sa-3.0。
-
-下载范围与校验见 `SOURCES.md`、`archive_checksums.json`。
diff --git a/EgoHOS/shared-v1.0/script/source_evidence/OakInk-v1-SOURCES.md b/EgoHOS/shared-v1.0/script/source_evidence/OakInk-v1-SOURCES.md
deleted file mode 100644
index fd23f9e7bc35ee810453eaa5fb2c91e04cd35fb4..0000000000000000000000000000000000000000
--- a/EgoHOS/shared-v1.0/script/source_evidence/OakInk-v1-SOURCES.md
+++ /dev/null
@@ -1,7 +0,0 @@
-# OakInk-v1 raw 来源
-
-Hugging Face 数据集页：https://huggingface.co/datasets/oakink/OakInk-v1 。本地由该仓库 `main` 树下载到 `data/`，未解压。页面标注总大小约 124 GB；许可 cc-by-nc-sa-3.0；论文 arXiv:2203.15709。本地 `data/README.md` 与页面一致，并给出项目 https://oakink.net 、代码 https://github.com/oakink/OakInk 。
-
-HF 树顶层为 `image/`、`shape/`、`OakBase.zip`（页面约 4.37 GB，本地 4366744375 字节）、`README.md`、`.gitattributes`。本地文件大小与 HF API 列出的 19 个文件中对应项一致；17 个压缩包均在本地。
-
-`archive_checksums.json` 对上述压缩包做 MD5/SHA256（含 `image/stream_zipped/oakink_image_v2.zip` 与 `.z01`–`.z10` 分卷）。未校验：`.cache/`、`.gitattributes`、`README.md`；未解压、未对包内帧逐文件哈希。路径相对 `raw/`（即 `data/…`）。
diff --git a/EgoHOS/shared-v1.0/script/source_evidence/OakInk-v1-archive_checksums.json b/EgoHOS/shared-v1.0/script/source_evidence/OakInk-v1-archive_checksums.json
deleted file mode 100644
index ef9abecc4613770073f83be9fca9f6fc165dfcf9..0000000000000000000000000000000000000000
--- a/EgoHOS/shared-v1.0/script/source_evidence/OakInk-v1-archive_checksums.json
+++ /dev/null
@@ -1,123 +0,0 @@
-{
-  "files": [
-    {
-      "path": "data/OakBase.zip",
-      "size": 4366744375,
-      "md5": "5f9b08e65573b9419e8111ed8b9148f8",
-      "sha256": "58a0ea15a39e3de036d2c7abbcaa81f4b91e840867258b7e70bdf91c2013f756",
-      "source_url": "https://huggingface.co/datasets/oakink/OakInk-v1/blob/main/OakBase.zip"
-    },
-    {
-      "path": "data/image/obj.zip",
-      "size": 7590433,
-      "md5": "7d34ccc1aceb818de712389952dafca5",
-      "sha256": "a519ab643a90e05eb7a5cf87c0cc0ceead8b9dfa630775607e79d87aae659c92",
-      "source_url": "https://huggingface.co/datasets/oakink/OakInk-v1/blob/main/image/obj.zip"
-    },
-    {
-      "path": "data/image/stream_zipped/oakink_image_v2.zip",
-      "size": 10640372368,
-      "md5": "ab8b611ddcae2a840b8a9a814d18c05c",
-      "sha256": "a18a5faece550a1116aa8071695922a9ef379f166fba78b9732c02c27a421a43",
-      "source_url": "https://huggingface.co/datasets/oakink/OakInk-v1/blob/main/image/stream_zipped/oakink_image_v2.zip"
-    },
-    {
-      "path": "data/image/stream_zipped/oakink_image_v2.z01",
-      "size": 10737418240,
-      "md5": "0bb499e37f45e159400b2f617048e919",
-      "sha256": "b032eb41cfaf3013f05349b4680ff071208c46b064a5e2207e5a970943643f0b",
-      "source_url": "https://huggingface.co/datasets/oakink/OakInk-v1/blob/main/image/stream_zipped/oakink_image_v2.z01"
-    },
-    {
-      "path": "data/image/stream_zipped/oakink_image_v2.z02",
-      "size": 10737418240,
-      "md5": "a1e81c6d25ff62bcfe02dc87e9658239",
-      "sha256": "89643894c901544879833df36c96a6e97c63c913736a89ac6dc0396704ecf8f7",
-      "source_url": "https://huggingface.co/datasets/oakink/OakInk-v1/blob/main/image/stream_zipped/oakink_image_v2.z02"
-    },
-    {
-      "path": "data/image/stream_zipped/oakink_image_v2.z03",
-      "size": 10737418240,
-      "md5": "6c5ae2d07b73e48db172f7fa07896f42",
-      "sha256": "082e4d92a9965ee2ce42e8bcbe4323a12864e3d09ac1c47d92fb2f69ad1f5cd4",
-      "source_url": "https://huggingface.co/datasets/oakink/OakInk-v1/blob/main/image/stream_zipped/oakink_image_v2.z03"
-    },
-    {
-      "path": "data/image/stream_zipped/oakink_image_v2.z04",
-      "size": 10737418240,
-      "md5": "19da61d6b116e0f6b2a2d9e46a18d658",
-      "sha256": "824c3aac440fa859dc8e6083b59bb3d15e617ab53d5847243c3ae53247cba460",
-      "source_url": "https://huggingface.co/datasets/oakink/OakInk-v1/blob/main/image/stream_zipped/oakink_image_v2.z04"
-    },
-    {
-      "path": "data/image/stream_zipped/oakink_image_v2.z05",
-      "size": 10737418240,
-      "md5": "45a498e5632d338b034f31a144c7d9bd",
-      "sha256": "3e761772957ebb7b709167db9cfeb03294b0363981171eaafbac7b168939269e",
-      "source_url": "https://huggingface.co/datasets/oakink/OakInk-v1/blob/main/image/stream_zipped/oakink_image_v2.z05"
-    },
-    {
-      "path": "data/image/stream_zipped/oakink_image_v2.z06",
-      "size": 10737418240,
-      "md5": "7a23cfa0287b8fdcbaa9b49664bee0b4",
-      "sha256": "237d598eef4a7f77ad38522d4ec77d84d8377387868b5f3b9a2bbd111bb592f5",
-      "source_url": "https://huggingface.co/datasets/oakink/OakInk-v1/blob/main/image/stream_zipped/oakink_image_v2.z06"
-    },
-    {
-      "path": "data/image/stream_zipped/oakink_image_v2.z07",
-      "size": 10737418240,
-      "md5": "63fb1d424f942f4b5090e4e82adccd4a",
-      "sha256": "07d1ccc0abb151353ea709b3230b4729c076b35af09d24296efce814be6eb3fc",
-      "source_url": "https://huggingface.co/datasets/oakink/OakInk-v1/blob/main/image/stream_zipped/oakink_image_v2.z07"
-    },
-    {
-      "path": "data/image/stream_zipped/oakink_image_v2.z08",
-      "size": 10737418240,
-      "md5": "c898e8f05893222cb0b453010165a51a",
-      "sha256": "ce9ce3224d700808e6b036198cb3865aabce6d79b8bbb1ae9d25778302f5dac9",
-      "source_url": "https://huggingface.co/datasets/oakink/OakInk-v1/blob/main/image/stream_zipped/oakink_image_v2.z08"
-    },
-    {
-      "path": "data/image/stream_zipped/oakink_image_v2.z09",
-      "size": 10737418240,
-      "md5": "7cb09ec955c9ba3afc4e3a5cceb101ff",
-      "sha256": "9c66e195669b58af2c21dca0d00fc6a206e1febe76ae191cd8ba73e33f9265b0",
-      "source_url": "https://huggingface.co/datasets/oakink/OakInk-v1/blob/main/image/stream_zipped/oakink_image_v2.z09"
-    },
-    {
-      "path": "data/image/stream_zipped/oakink_image_v2.z10",
-      "size": 10737418240,
-      "md5": "df546a98817246a827d3914ae7beaef8",
-      "sha256": "44b149b4976abeef8a0a3e904b63e5c8b677b47004971e97768a7ff839216b47",
-      "source_url": "https://huggingface.co/datasets/oakink/OakInk-v1/blob/main/image/stream_zipped/oakink_image_v2.z10"
-    },
-    {
-      "path": "data/shape/metaV2.zip",
-      "size": 15447,
-      "md5": "1a31292ab79ea4c9a0a4974a45ccaf07",
-      "sha256": "8c6ec8ebb98821c589170d98b73ccc84bf1543781b9ac3e4d1e6f01084e73bef",
-      "source_url": "https://huggingface.co/datasets/oakink/OakInk-v1/blob/main/shape/metaV2.zip"
-    },
-    {
-      "path": "data/shape/oakink_shape_v2.zip",
-      "size": 48324871,
-      "md5": "4d1e81f47e3554d5bc2263700645bd4f",
-      "sha256": "d867060a5874acb73e1fcd132b014a2cfd024ef9ed171de53115c98db55c7d42",
-      "source_url": "https://huggingface.co/datasets/oakink/OakInk-v1/blob/main/shape/oakink_shape_v2.zip"
-    },
-    {
-      "path": "data/shape/OakInkObjectsV2.zip",
-      "size": 1050467188,
-      "md5": "eb77599488589551878900d7abf08d59",
-      "sha256": "a969a5befdbccf6d0c5d30b42dfad3078c34e71788b54c644f660b192bcc9fd6",
-      "source_url": "https://huggingface.co/datasets/oakink/OakInk-v1/blob/main/shape/OakInkObjectsV2.zip"
-    },
-    {
-      "path": "data/shape/OakInkVirtualObjectsV2.zip",
-      "size": 962778443,
-      "md5": "f447d892de4f5db716827cfd5c3bf3d0",
-      "sha256": "eb1a7fd45092571c8cd3509416913e461e8c3d56529e6e7e4bbf5258806dab8a",
-      "source_url": "https://huggingface.co/datasets/oakink/OakInk-v1/blob/main/shape/OakInkVirtualObjectsV2.zip"
-    }
-  ]
-}
diff --git a/EgoHOS/shared-v1.0/script/source_evidence/RAW_AVAILABILITY.json b/EgoHOS/shared-v1.0/script/source_evidence/RAW_AVAILABILITY.json
deleted file mode 100644
index 12b403b37dab96fbbcf6d1816da140f0348f5edb..0000000000000000000000000000000000000000
--- a/EgoHOS/shared-v1.0/script/source_evidence/RAW_AVAILABILITY.json
+++ /dev/null
@@ -1,90 +0,0 @@
-{
-  "revision": "8818d04d6cbdc0bf32b6ef949257b82310f16798",
-  "files": {
-    "EgoHOS": [
-      {
-        "path": "EgoHOS/raw/data/egohos_dataset.zip",
-        "size": 4495628086
-      }
-    ],
-    "OakInk-v1": [
-      {
-        "path": "OakInk-v1/raw/data/.gitattributes",
-        "size": 2350
-      },
-      {
-        "path": "OakInk-v1/raw/data/OakBase.zip",
-        "size": 4366744375
-      },
-      {
-        "path": "OakInk-v1/raw/data/README.md",
-        "size": 264
-      },
-      {
-        "path": "OakInk-v1/raw/data/image/obj.zip",
-        "size": 7590433
-      },
-      {
-        "path": "OakInk-v1/raw/data/image/stream_zipped/oakink_image_v2.z01",
-        "size": 10737418240
-      },
-      {
-        "path": "OakInk-v1/raw/data/image/stream_zipped/oakink_image_v2.z02",
-        "size": 10737418240
-      },
-      {
-        "path": "OakInk-v1/raw/data/image/stream_zipped/oakink_image_v2.z03",
-        "size": 10737418240
-      },
-      {
-        "path": "OakInk-v1/raw/data/image/stream_zipped/oakink_image_v2.z04",
-        "size": 10737418240
-      },
-      {
-        "path": "OakInk-v1/raw/data/image/stream_zipped/oakink_image_v2.z05",
-        "size": 10737418240
-      },
-      {
-        "path": "OakInk-v1/raw/data/image/stream_zipped/oakink_image_v2.z06",
-        "size": 10737418240
-      },
-      {
-        "path": "OakInk-v1/raw/data/image/stream_zipped/oakink_image_v2.z07",
-        "size": 10737418240
-      },
-      {
-        "path": "OakInk-v1/raw/data/image/stream_zipped/oakink_image_v2.z08",
-        "size": 10737418240
-      },
-      {
-        "path": "OakInk-v1/raw/data/image/stream_zipped/oakink_image_v2.z09",
-        "size": 10737418240
-      },
-      {
-        "path": "OakInk-v1/raw/data/image/stream_zipped/oakink_image_v2.z10",
-        "size": 10737418240
-      },
-      {
-        "path": "OakInk-v1/raw/data/image/stream_zipped/oakink_image_v2.zip",
-        "size": 10640372368
-      },
-      {
-        "path": "OakInk-v1/raw/data/shape/OakInkObjectsV2.zip",
-        "size": 1050467188
-      },
-      {
-        "path": "OakInk-v1/raw/data/shape/OakInkVirtualObjectsV2.zip",
-        "size": 962778443
-      },
-      {
-        "path": "OakInk-v1/raw/data/shape/metaV2.zip",
-        "size": 15447
-      },
-      {
-        "path": "OakInk-v1/raw/data/shape/oakink_shape_v2.zip",
-        "size": 48324871
-      }
-    ]
-  },
-  "oakink_image_annotations": "anno_v2_1.zip not present in raw tree"
-}
\ No newline at end of file
diff --git a/EgoHOS/shared-v1.0/script/test_self.py b/EgoHOS/shared-v1.0/script/test_self.py
deleted file mode 100644
index d1dc868c836c67dfa5b0f14c04da3e40adea44bc..0000000000000000000000000000000000000000
--- a/EgoHOS/shared-v1.0/script/test_self.py
+++ /dev/null
@@ -1,144 +0,0 @@
-#!/usr/bin/env python3
-"""One small runnable end-to-end check; fixtures are synthetic, not real validation."""
-import json
-import pickle
-import subprocess
-import sys
-import tempfile
-from pathlib import Path
-
-import numpy as np
-from PIL import Image
-
-from acquire import sha, safe_path
-from media import mask, decode
-from preprocess import se3
-from validate import pt, check_inventory
-
-HERE = Path(__file__).resolve().parent
-
-
-def command(*args, succeeds=True):
-    p = subprocess.run([sys.executable, str(HERE / 'preprocess.py'), *map(str, args)], capture_output=True, text=True)
-    if (p.returncode == 0) != succeeds:
-        raise AssertionError(p.stdout + p.stderr)
-    return p
-
-
-def provenance(root):
-    entries = [{'path': p.relative_to(root).as_posix(), 'sha256': sha(p),
-                'source_locator': {'file': 'SYNTHETIC_TEST_FIXTURE', 'member': p.relative_to(root).as_posix()}}
-               for p in sorted(root.rglob('*')) if p.is_file() and p.name != 'sources.jsonl']
-    (root / 'sources.jsonl').write_text(''.join(json.dumps(r) + '\n' for r in entries))
-
-
-def save_pickle(path, value):
-    path.parent.mkdir(parents=True, exist_ok=True)
-    with path.open('wb') as f:
-        pickle.dump(value, f)
-
-
-def main():
-    rng = np.random.default_rng(17)
-    with tempfile.TemporaryDirectory() as directory:
-        temp = Path(directory)
-        ego = temp / 'ego'
-        for split in ('train', 'val', 'test_indomain', 'test_outdomain'):
-            for folder in ('image', 'label'):
-                (ego / split / folder).mkdir(parents=True)
-            for i in range(2):
-                # One JPEG stratum and one PNG stratum exercise copy and both lossless encoders.
-                ext = '.jpg' if split != 'val' else '.png'
-                Image.fromarray(rng.integers(0, 256, (24, 32, 3), dtype=np.uint8)).save(ego / split / 'image' / f'{i}{ext}')
-                Image.fromarray(np.tile(np.arange(32, dtype=np.uint8) % 9, (24, 1))).save(ego / split / 'label' / f'{i}.png')
-        provenance(ego)
-        output = temp / 'ego-pilot'
-        command('build', '--dataset', 'EgoHOS', '--input', ego, '--out', output, '--chunk', 8)
-        report = json.loads((output / 'doc/validation/report.json').read_text())
-        assert report['all_frames_checked'] == 8
-        check_inventory(output, report['file_hashes'])
-        encoded = next((output / 'data').glob('train*/*/annotation/segment/mask.mkv'))
-        assert np.array_equal(next(decode(encoded, True)), mask(ego / 'train/label/0.png'))
-        assert (next(decode(encoded, True)) == 9).any()
-        # Missing human review must block full and upload before any remote call.
-        command('build', '--dataset', 'EgoHOS', '--input', ego, '--out', temp / 'badfull', '--phase', 'full', '--pilot', output, '--chunk', 8, succeeds=False)
-        command('upload', '--release', output, succeeds=False)
-        # A modified release fails its file inventory.
-        (output / 'data/unexpected.txt').write_text('modified')
-        try:
-            check_inventory(output, report['file_hashes'])
-        except ValueError:
-            pass
-        else:
-            raise AssertionError('Mutation accepted')
-
-        oak = temp / 'oak'
-        seq = 'A00001_0004_0001_0002/2021-01-01-00-00-00'
-        image = oak / 'image/stream_release_v2' / seq / 'north_east_color_10.png'
-        image.parent.mkdir(parents=True)
-        Image.fromarray(rng.integers(0, 256, (24, 32, 3), dtype=np.uint8)).save(image)
-        anno = oak / 'image/anno'
-        anno.mkdir()
-        info = [[seq, person, 10, 0] for person in (0, 1)]
-        (anno / 'seq_all.json').write_text(json.dumps(info))
-        for rel, value in [('split_train_val/split0/example_split_train.json', info),
-                           ('split_train_val/split0/example_split_val.json', []), ('split/split0/seq_test.json', [])]:
-            p = anno / rel
-            p.parent.mkdir(parents=True, exist_ok=True)
-            p.write_text(json.dumps(value))
-        k = np.array([[20, 0, 16], [0, 20, 12], [0, 0, 1]], np.float32)
-        xyz = np.column_stack((np.linspace(-.1, .1, 21), np.zeros(21), np.ones(21))).astype(np.float32)
-        pose = np.eye(4, dtype=np.float32)
-        pose[2, 3] = 1
-        for x in info:
-            key = '__'.join(map(str, x)).replace('/', '__') + '.pkl'
-            for folder, value in [('cam_intr', k), ('hand_j', xyz), ('obj_transf', pose), ('general_info', {'cam_extr': np.eye(4, dtype=np.float32)})]:
-                save_pickle(anno / folder / key, value)
-        obj = oak / 'image/obj/A00001.obj'
-        obj.parent.mkdir()
-        obj.write_text('mtllib absent.mtl\nv 0 0 0\nv .2 0 0\nv 0 .2 0\nusemtl default\nf 1 2 3\n')
-        (oak / 'acquisition.json').write_text(json.dumps({'command': 'extract', 'dataset': 'OakInk-v1', 'note': 'SYNTHETIC TEST ONLY'}))
-        provenance(oak)
-        command('build', '--dataset', 'OakInk-v1', '--input', oak, '--out', temp / 'oak-blocked', succeeds=False)
-        command('build', '--dataset', 'OakInk-v1', '--input', oak, '--out', temp / 'oak-rgb', '--allow-rgb-only')
-        out = temp / 'oak-geo'
-        command('build', '--dataset', 'OakInk-v1', '--input', oak, '--out', out,
-                '--annotations', anno, '--trust-pickle')
-        views = list((out / 'data').glob('*/*/metainfo.json'))
-        assert len(views) == 2 and any('person0' in str(p) for p in views) and any('person1' in str(p) for p in views)
-        for m in views:
-            v = m.parent
-            points = pt(v / 'annotation/keypoints/xyz.pt')
-            assert np.isnan(points[:, 0]).all() and np.array_equal(points[0, 1], xyz)
-            uv = pt(v / 'annotation/keypoints/uv.pt')
-            assert np.allclose(uv[0, 1, 0], [14, 12])
-            text = (v / 'annotation/object/A00001/assets/A00001.obj').read_text()
-            assert 'v -0.1 -0.1 0' in text
-            assert 'mtllib ' not in text and 'usemtl ' not in text
-            metadata = json.loads(m.read_text())
-            assert metadata['components']['object_mesh']['provenance']['source_missing_materials'] == ['absent.mtl']
-        # Test review records apply only to these temporary synthetic fixtures.
-        command('approve', '--release', out, '--reviewer', 'SYNTHETIC_TEST_ONLY')
-        command('upload', '--release', out, succeeds=False)  # Reviewed pilot still cannot publish.
-        command('build', '--dataset', 'OakInk-v1', '--input', oak, '--out', temp / 'oak-full',
-                '--annotations', anno, '--trust-pickle', '--phase', 'full', '--pilot', out)
-        for bad in ('../escape', '/absolute', 'a/../../escape'):
-            try:
-                safe_path(temp, bad)
-            except ValueError:
-                pass
-            else:
-                raise AssertionError('Unsafe path accepted')
-        bad = np.eye(4)
-        bad[0, 0] = 2
-        try:
-            se3(bad, 'bad')
-        except ValueError:
-            pass
-        else:
-            raise AssertionError('Invalid SE3 accepted')
-    print('PASS: JPEG copy, FFV1/x264 RGB, labels, provenance, review gates, RGB-only, synthetic OakInk geometry, NaN slots, projection, mesh centering, mutation/path/SE3 rejection')
-
-
-if __name__ == '__main__':
-    main()
diff --git a/EgoHOS/shared-v1.0/script/validate.py b/EgoHOS/shared-v1.0/script/validate.py
deleted file mode 100644
index 8cfabd946196a102f833ce01e409b05e804adc5d..0000000000000000000000000000000000000000
--- a/EgoHOS/shared-v1.0/script/validate.py
+++ /dev/null
@@ -1,265 +0,0 @@
-#!/usr/bin/env python3
-"""Validate all shared frames; render every available modality in sampled views."""
-import argparse
-from collections import defaultdict
-import hashlib
-import html
-import json
-import random
-from pathlib import Path
-
-import numpy as np
-from PIL import Image, ImageDraw
-import torch
-
-from acquire import sha
-from media import decode, rgb
-
-COLORS = [(0, 0, 0), (255, 70, 80), (50, 150, 255), (255, 180, 40), (80, 220, 100),
-          (220, 80, 220), (140, 90, 40), (40, 220, 220), (150, 150, 255), (70, 70, 70)]
-EDGES = [(0, i) for i in (1, 5, 9, 13, 17)] + [(i, i+1) for i in range(1, 21) if i % 4 != 0]
-
-
-def read_json(path):
-    return json.loads(path.read_text())
-
-
-def read_jsonl(path):
-    return [json.loads(line) for line in path.read_text().splitlines()]
-
-
-def pt(path):
-    t = torch.load(path, map_location='cpu', weights_only=True)
-    if not isinstance(t, torch.Tensor) or t.device.type != 'cpu':
-        raise ValueError(f'Expected CPU Tensor: {path}')
-    return t.numpy()
-
-
-def local_ref(view, ref):
-    p = view / ref
-    if not p.resolve().is_relative_to(view.resolve()) or not p.is_file():
-        raise ValueError(f'Broken/unsafe reference: {ref}')
-    return p
-
-
-def check_inventory(root, expected):
-    actual = {p.relative_to(root).as_posix(): sha(p) for p in root.rglob('*') if p.is_file() and '__pycache__' not in p.parts
-              and p.relative_to(root).as_posix() not in ('doc/validation/report.json', 'doc/validation/human_review.json')}
-    if actual != expected:
-        raise ValueError('Release contents changed after validation; revalidate and repeat human review')
-
-
-def validate_view(view, registry):
-    m = read_json(view / 'metainfo.json')
-    frames = read_jsonl(view / 'camera/frames.jsonl')
-    t = m['num_frames']
-    if t < 1 or m['hand_slots'] != ['left', 'right'] or len(frames) != t:
-        raise ValueError('Frame count/hand-slot error')
-    if m['view_type'] not in ('ego', 'exo', 'unknown') or m['schema_version'] != registry['schema_version']:
-        raise ValueError('Invalid schema/view_type')
-    if [r['frame_index'] for r in frames] != list(range(t)) or len({r['sample_id'] for r in frames}) != t:
-        raise ValueError('Invalid/duplicate frame IDs')
-    for f in frames:
-        for key in ['timestamp_ns', 'clock_domain', 'source_locator', 'source_frame_id']:
-            if key not in f:
-                raise ValueError(f'Missing frame field {key}')
-    proofs = read_json(view / 'encoding_validation.json')
-    for name, c in m['components'].items():
-        if not c['available']:
-            if not c.get('reason'):
-                raise ValueError('Missing unavailable reason')
-            continue
-        schema = registry['components'][c['schema_id']]
-        data = local_ref(view, c['data_ref'])
-        valid = pt(local_ref(view, c['valid_ref'])) if 'valid_ref' in c else None
-        if valid is not None and valid.dtype != bool:
-            raise ValueError('Validity must be bool')
-        if 'valid_shape' in schema and valid is not None:
-            shape = tuple(t if x == 'T' else x for x in schema['valid_shape'])
-            if valid.shape != shape:
-                raise ValueError(f'{name} valid shape {valid.shape} != {shape}')
-        if data.suffix == '.pt':
-            a = pt(data)
-            shape = tuple(t if x == 'T' else x for x in schema['shape'])
-            if a.shape != shape or a.dtype != np.dtype(schema['dtype']):
-                raise ValueError(f'{name} tensor shape/dtype mismatch')
-            ok = np.broadcast_to(valid.reshape(valid.shape + (1,)*(a.ndim-valid.ndim)), a.shape)
-            if not np.isfinite(a[ok]).all() or not np.isnan(a[~ok]).all():
-                raise ValueError(f'{name}: finite valid / NaN invalid policy failed')
-            if c['schema_id'] in ('object/rigid/v1', 'transform/se3/v1'):
-                r = a[valid, :3, :3]
-                if not (np.allclose(np.swapaxes(r, 1, 2) @ r, np.eye(3), atol=1e-4) and np.allclose(np.linalg.det(r), 1, atol=1e-4)):
-                    raise ValueError('SE3 check failed')
-        elif data.suffix == '.mkv':
-            storage = c['storage']
-            if storage['profile'] not in schema['allowed_storage_profiles']:
-                raise ValueError('Unregistered storage profile')
-            for required in registry['video_metadata']['required']:
-                if required not in storage:
-                    raise ValueError(f'Missing storage field {required}')
-            chosen = next(x for x in proofs[name]['candidates'] if x['encoder'] == proofs[name]['selected'])
-            hashes = []
-            mapping = read_jsonl(local_ref(view, c['mapping_ref'])) if name == 'segment' else None
-            if mapping is not None and (len(mapping) != t or [x['frame_index'] for x in mapping] != list(range(t))):
-                raise ValueError('Segmentation mapping timeline differs')
-            for i, a in enumerate(decode(data, name == 'segment')):
-                if list(a.shape[1::-1]) != m['camera']['image_size']:
-                    raise ValueError('Video dimensions differ from camera')
-                hashes.append(hashlib.sha256(a.tobytes()).hexdigest())
-                if mapping is not None:
-                    codes = [x['mask_value'] for x in mapping[i]['labels']]
-                    if len(codes) != len(set(codes)) or not set(np.unique(a)).difference((0, 65535)).issubset(codes):
-                        raise ValueError('Invalid segment mapping')
-            if len(hashes) != t or hashes != chosen['ordered_decoded_sha256']:
-                raise ValueError('Video differs from exact source comparison proof')
-        elif data.suffix == '.obj':
-            if not any(line.startswith('v ') for line in data.read_text().splitlines()):
-                raise ValueError('Empty mesh')
-    return m, frames
-
-
-def clean_numbers(x):
-    if isinstance(x, np.generic):
-        return clean_numbers(x.item())
-    if isinstance(x, np.ndarray):
-        return clean_numbers(x.tolist())
-    if isinstance(x, list):
-        return [clean_numbers(v) for v in x]
-    if isinstance(x, float) and not np.isfinite(x):
-        return None
-    return x
-
-
-def preview_view(root, view, m, frames, target, source_root=None):
-    videos = {'rgb': decode(view / 'observation/rgb.mkv')}
-    c = m['components']
-    if c.get('segment', {}).get('available'):
-        videos['segment'] = decode(view / c['segment']['data_ref'], True)
-    arrays = {name: pt(view / component['data_ref']) for name, component in c.items()
-              if component['available'] and component.get('data_ref', '').endswith('.pt')}
-    instances = read_jsonl(view / c['segment']['mapping_ref']) if 'segment' in videos else None
-    objects = [read_json(p) for p in (view / 'annotation/object').glob('*/metainfo.json')]
-    cards = []
-    mesh = None
-    if c.get('object_mesh', {}).get('available'):
-        mesh = np.array([[float(v) for v in line.split()[1:4]] for line in (view / c['object_mesh']['data_ref']).read_text().splitlines() if line.startswith('v ')])
-        # Display-only point sampling; full OBJ asset is retained unchanged in data/.
-        mesh = mesh[::max(1, len(mesh)//3000)]
-    for i, frame in enumerate(frames):
-        name = hashlib.sha256(f'{view.relative_to(root)}/{i}'.encode()).hexdigest()[:20]
-        rgb_array = next(videos['rgb'])
-        image = Image.fromarray(rgb_array)
-        overlay = image.copy()
-        if 'segment' in videos:
-            mask = next(videos['segment'])
-            color = np.asarray(COLORS, dtype=np.uint8)[mask]
-            mix = rgb_array.copy()
-            foreground = (mask != 9) & (mask != 0)
-            mix[foreground] = (rgb_array[foreground] * .45 + color[foreground] * .55).astype(np.uint8)
-            overlay = Image.fromarray(mix)
-            Image.fromarray(color).save(target / f'{name}-mask.png')
-        draw = ImageDraw.Draw(overlay)
-        if 'keypoints_uv' in arrays:
-            pts = arrays['keypoints_uv'][i, 1]
-            for a, b in EDGES:
-                if np.isfinite(pts[[a, b]]).all():
-                    draw.line([tuple(pts[a]), tuple(pts[b])], fill=(0, 255, 100), width=2)
-            for k, xy in enumerate(pts):
-                if np.isfinite(xy).all():
-                    x, y = xy
-                    draw.ellipse((x-2, y-2, x+2, y+2), fill=(255, 50, 50))
-                    draw.text((x+3, y), str(k), fill=(255, 255, 255))
-        objcam = None
-        if mesh is not None and 'object_pose' in arrays:
-            pose = arrays['object_pose'][i]
-            objcam = mesh @ pose[:3, :3].T + pose[:3, 3]
-            projected = objcam @ arrays['intrinsic'][i].T
-            for x, y, z in projected[projected[:, 2] > 0]:
-                draw.point((float(x/z), float(y/z)), fill=(255, 210, 0))
-        image.save(target / f'{name}-rgb.png')
-        has_overlay = 'segment' in videos or 'keypoints_uv' in arrays or objcam is not None
-        if has_overlay:
-            overlay.save(target / f'{name}-overlay.png')
-        raw_ref = None
-        if source_root:
-            src = source_root / frame['source_locator']['extracted_path']
-            if sha(src) != frame['source_locator']['extracted_sha256']:
-                raise ValueError('Preview source differs from build source')
-            Image.fromarray(rgb(src)).save(target / f'{name}-source.png')
-            raw_ref = f'{name}-source.png'
-        values = {key: clean_numbers(a[i]) for key, a in arrays.items()}
-        valid = {key: clean_numbers(pt(view / item['valid_ref'])[i]) for key, item in c.items()
-                 if item['available'] and 'valid_ref' in item}
-        cards.append({'id': frame['sample_id'], 'view': view.relative_to(root).as_posix(),
-            'rgb': f'{name}-rgb.png', 'overlay': f'{name}-overlay.png' if has_overlay else None, 'source': raw_ref,
-            'mask': f'{name}-mask.png' if 'segment' in videos else None,
-            'frame': frame, 'arrays': values, 'valid': valid, 'metainfo': m,
-            'annotations': {'segment_instances': instances[i] if instances else None, 'object_metainfo': objects},
-            'object_points_camera': clean_numbers(objcam) if objcam is not None else None,
-            'object_points_canonical': clean_numbers(mesh) if mesh is not None else None})
-    return cards
-
-
-HTML = '''手物数据预处理检验
-
-
手物数据预处理检验
待人工审核。自动无损校验通过 ≠ 标注语义或几何已获人工确认。只展示本报告列出的抽检样本；每个选中视图展示全部帧。未提供模态及原因在元信息中明确列出。

-
检查：源图与解码 RGB、左右手、标签颜色、源文件定位、valid、相机参数；有几何时检查 2D 投影和可旋转 3D 点云。绿色为手关键点，黄色为物体。3D 点云仅为显示抽样，完整模型见 data。

- 
-
源 RGB
源文件固定解码 RGB
处理后 RGB
shared MKV 解码 RGB
分割或几何叠加
分割 / 手关键点 / 物体叠加
语义标签图
标签图：1 左手红；2 右手蓝；3–8 交互物体；9 源背景灰

-
相机系 3D（拖动旋转）
物体规范坐标系 3D（拖动旋转）

-
逐帧来源、时间与 split
所有数值标注与有效性
所有组件 / 缺失原因 / 相机 / 存储与映射

-'''
-
-
-def validate_release(root, per_stratum=4, seed=20260928, all_views=False, source_root=None):
-    build = read_json(root / 'doc/build.json')
-    registry = read_json(root / 'doc/schema.json')
-    results = {}
-    strata = defaultdict(list)
-    for relative in build['views']:
-        m, f = validate_view(root / relative, registry)
-        results[relative] = (m, f)
-        strata[(f[0]['source_split'], m['camera_id'])].append(relative)
-    rng = random.Random(seed)
-    chosen = sorted(results) if all_views or build['phase'] == 'pilot' else sorted(
-        v for s in sorted(strata) for v in rng.sample(strata[s], min(per_stratum, len(strata[s]))))
-    target = root / 'doc/validation'
-    target.mkdir(parents=True, exist_ok=True)
-    # Revalidation invalidates old human review, even if the numeric result stays the same.
-    (target / 'human_review.json').unlink(missing_ok=True)
-    for p in target.glob('*.png'):
-        p.unlink()
-    cards = []
-    for relative in chosen:
-        m, f = results[relative]
-        cards.extend(preview_view(root, root / relative, m, f, target, source_root))
-    payload = json.dumps(cards, ensure_ascii=False, allow_nan=False).replace('<', '\\u003c')
-    (target / 'index.html').write_text(HTML.replace('__DATA__', payload))
-    hashes = {p.relative_to(root).as_posix(): sha(p) for p in root.rglob('*') if p.is_file() and '__pycache__' not in p.parts
-              and p.relative_to(root).as_posix() not in ('doc/validation/report.json', 'doc/validation/human_review.json')}
-    report = {'dataset': build['dataset'], 'phase': build['phase'], 'recipe': build['recipe'],
-        'automatic_validation_passed': True, 'human_review': 'pending',
-        'all_views_checked': len(results), 'all_frames_checked': sum(m['num_frames'] for m, _ in results.values()),
-        'numeric_scope': 'every component, frame, shape, validity, registered schema and exact video decoded hash',
-        'visual_scope': 'all available modalities; every frame of selected views only',
-        'visual_selected_views': chosen, 'visual_sample_ids': [c['id'] for c in cards],
-        'seed': seed, 'file_hashes': hashes, 'limitations': build['limitations']}
-    (target / 'report.json').write_text(json.dumps(report, ensure_ascii=False, indent=2) + '\n')
-    print(f'Validated {report["all_frames_checked"]} frames; HTML: {target / "index.html"}', flush=True)
-    return report
-
-
-if __name__ == '__main__':
-    p = argparse.ArgumentParser(description=__doc__)
-    p.add_argument('release', type=Path)
-    p.add_argument('--per-stratum', type=int, default=4)
-    p.add_argument('--seed', type=int, default=20260928)
-    p.add_argument('--all', action='store_true', help='Generate previews for every frame of every view; potentially large')
-    p.add_argument('--source-root', type=Path, help='Extracted input, to show source RGB alongside shared RGB')
-    a = p.parse_args()
-    validate_release(a.release, a.per_stratum, a.seed, a.all, a.source_root)