diff --git a/ARCTIC/shared-v1.0/doc/CONTRACT.md b/ARCTIC/shared-v1.0/doc/CONTRACT.md index f756d711647e109b6bb732ce1b9c84111730489d..e80d21a1c4af1bfaa2f429b3395a4304e6af6eb0 100644 --- a/ARCTIC/shared-v1.0/doc/CONTRACT.md +++ b/ARCTIC/shared-v1.0/doc/CONTRACT.md @@ -2,9 +2,11 @@ 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。 - -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。 +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 @@ -90,7 +92,7 @@ hand-datasets/ | 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 | 可选，`ego/exo/unknown` | +| 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。 diff --git a/ARCTIC/shared-v1.0/doc/schema.json b/ARCTIC/shared-v1.0/doc/schema.json index d904a34272de7f3fd4428c8dc68a919e94a68fca..edb7cf7ce8e8e282d1fbfb5b39ef02a60321d2fb 100644 --- a/ARCTIC/shared-v1.0/doc/schema.json +++ b/ARCTIC/shared-v1.0/doc/schema.json @@ -11,11 +11,22 @@ "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" - ], - "keypoints": { + "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": [ diff --git a/FreiHAND/shared-v1.0/data/evaluation_00000000/camera/metainfo.json b/FreiHAND/shared-v1.0/data/evaluation_00000000/camera/metainfo.json index db8f9fd100aa69ebd25e9ef3e60a97f206b12d08..c0e825e1691d5697e2f3735e409957db5aee6de5 100644 --- a/FreiHAND/shared-v1.0/data/evaluation_00000000/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/evaluation_00000000/camera/metainfo.json @@ -209,5 +209,6 @@ "archive": "raw/data/FreiHAND_pub_v2_eval.zip", "member_prefix": "evaluation/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00000000/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00000000/camera/metainfo.json index ea857a8d9fb578be10c0201fffa38faec9cfd005..cd8af030e3e50c3a391e4abf36b95fbc998eb08b 100644 --- a/FreiHAND/shared-v1.0/data/training_00000000/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00000000/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00004096/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00004096/camera/metainfo.json index 86896c7ff62c0c0b14ee84a5e7f61a6a8f598df7..0a4f412b91fc895111c81ac49314091e5daed2e5 100644 --- a/FreiHAND/shared-v1.0/data/training_00004096/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00004096/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00008192/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00008192/camera/metainfo.json index 011c151d35ffdb1f476c104a133c24a9c4a64b68..b5146799640e06d98a1f54ef4de5ac584766f62e 100644 --- a/FreiHAND/shared-v1.0/data/training_00008192/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00008192/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00012288/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00012288/camera/metainfo.json index ba7e6fdf86134764c0d54f69d94e31cf8dab6407..a12130f07e12b35e98ce942b5ef2a7ed5438cbbc 100644 --- a/FreiHAND/shared-v1.0/data/training_00012288/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00012288/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00016384/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00016384/camera/metainfo.json index bdb6127c8a1f82be117aaabef4ceb1ac790429da..eaaac519443c8e102fbd503a16c1b6f1f45c618d 100644 --- a/FreiHAND/shared-v1.0/data/training_00016384/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00016384/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00020480/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00020480/camera/metainfo.json index c47fc3824a5d3232aa4573a837150d3a890ab063..771f0e37dd7ba2d4dbf680b2581cedb7ce15af63 100644 --- a/FreiHAND/shared-v1.0/data/training_00020480/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00020480/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00024576/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00024576/camera/metainfo.json index 086318bf1394516b31abc96489c062c648fafe14..65711f964ff491518fa2850510aac2e5d4a57a0a 100644 --- a/FreiHAND/shared-v1.0/data/training_00024576/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00024576/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00028672/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00028672/camera/metainfo.json index b8ef8fdb0a663e87648b4123d89b243ef2a0718b..c6577731abd5339d6655f000a7a235dbf7f984d1 100644 --- a/FreiHAND/shared-v1.0/data/training_00028672/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00028672/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00032768/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00032768/camera/metainfo.json index 58b5d04cfd60c626c699c4aa05743bb96b300371..b6b8038e757fe525683bb7b31abe911ea1721de0 100644 --- a/FreiHAND/shared-v1.0/data/training_00032768/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00032768/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00036864/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00036864/camera/metainfo.json index c865c38ea936732804af30aff94bc9d605332603..bee348b782605a18ca309a26506acddcfc9fdb1d 100644 --- a/FreiHAND/shared-v1.0/data/training_00036864/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00036864/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00040960/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00040960/camera/metainfo.json index 8187283bbe8d6d7f8471b32c9d29e0f2cd24025c..c58a4c5ad51ef8183230ac74d168d78eb647c91f 100644 --- a/FreiHAND/shared-v1.0/data/training_00040960/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00040960/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00045056/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00045056/camera/metainfo.json index afd4471e741b76ff82b5dc36f7ee7f378fe8a3b7..d3bc39cd55305116455023e42dfb1b72478a7e87 100644 --- a/FreiHAND/shared-v1.0/data/training_00045056/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00045056/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00049152/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00049152/camera/metainfo.json index d475ddbfc50d2322eeb0e67cfa6a89e553a179ec..627d0f6d7bff2f1e8057cd217bf01ec7a53c2cc7 100644 --- a/FreiHAND/shared-v1.0/data/training_00049152/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00049152/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00053248/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00053248/camera/metainfo.json index 81f2df96dbebae81388f10c25c54a1cf77645f01..6718e3d9f0a94cf9dde6c8c95514a93e3f4c4760 100644 --- a/FreiHAND/shared-v1.0/data/training_00053248/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00053248/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00057344/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00057344/camera/metainfo.json index 249f6222367afebd4bd315a80d472ca04c17f694..0c4c834f8192e8e53dd9b17943659e0ba12c40b1 100644 --- a/FreiHAND/shared-v1.0/data/training_00057344/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00057344/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00061440/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00061440/camera/metainfo.json index 69e3a026edaa4cdfec6b9486649801459c13d27c..1fe1f89881ae96567f2a5278e6391746b109afba 100644 --- a/FreiHAND/shared-v1.0/data/training_00061440/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00061440/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00065536/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00065536/camera/metainfo.json index 7e371db9d454f0ac36f0544e093258d9c3e1d92e..6565cbc62b20e1342b913d62a350b5a8abf410a0 100644 --- a/FreiHAND/shared-v1.0/data/training_00065536/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00065536/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00069632/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00069632/camera/metainfo.json index 3414898bb4abaea6a5c5c2591f1d6a56d3b63c24..e62f930ab2f58fc675b9828d7f6bbfa4b8f497bd 100644 --- a/FreiHAND/shared-v1.0/data/training_00069632/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00069632/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00073728/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00073728/camera/metainfo.json index 0fd3b22a6e585784dbd72c031857c03528645315..98f982521a89bec702e64f7d6ba30e00de125a8f 100644 --- a/FreiHAND/shared-v1.0/data/training_00073728/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00073728/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00077824/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00077824/camera/metainfo.json index 38a36008b244438c171916cfbef106efcb77536a..c26d671d6027dd87a60157607525a20bef967d04 100644 --- a/FreiHAND/shared-v1.0/data/training_00077824/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00077824/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00081920/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00081920/camera/metainfo.json index 7378927de2c7f731498d4599176a06e3351ee174..61a0b6eb1ac659d25e2fc83f41c732a468509fdd 100644 --- a/FreiHAND/shared-v1.0/data/training_00081920/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00081920/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00086016/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00086016/camera/metainfo.json index 955e29ca31ab01fbf991301e814d330059d6262d..9cb43ea4c38bf445125e980b8f617517654badf6 100644 --- a/FreiHAND/shared-v1.0/data/training_00086016/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00086016/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00090112/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00090112/camera/metainfo.json index 925a8763f0234328d92cb7054d1caf057ac4199d..fed0f069e4c38331a409e528191e24d7b8de6a5e 100644 --- a/FreiHAND/shared-v1.0/data/training_00090112/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00090112/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00094208/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00094208/camera/metainfo.json index ee3a3ab09ebe563a749f665aedba5f1e30440761..9611dd9f6cf42efe15b3a5b7d8702b5777f70692 100644 --- a/FreiHAND/shared-v1.0/data/training_00094208/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00094208/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00098304/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00098304/camera/metainfo.json index 8ef804e38092c1bdfdc5d4445b64b8ce67f84806..664eb716e6becac8a1fc9d4375044e233435b5a0 100644 --- a/FreiHAND/shared-v1.0/data/training_00098304/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00098304/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00102400/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00102400/camera/metainfo.json index 33a1809b9b251c03445d190dd8b75a388b61551c..9c42cb90da2bd94b8bc1caade36e44879e9757a5 100644 --- a/FreiHAND/shared-v1.0/data/training_00102400/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00102400/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00106496/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00106496/camera/metainfo.json index 612ccf9e8da91dfa87cd5d5aeea1712a477b4637..632de701c0a73164d99136ed41c467f7c2acffcc 100644 --- a/FreiHAND/shared-v1.0/data/training_00106496/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00106496/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00110592/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00110592/camera/metainfo.json index e408eef4d72c36835d899379a862c4e60afa4b54..23eb0cf00b25ea35e2b72cec30e5c7f0dd870385 100644 --- a/FreiHAND/shared-v1.0/data/training_00110592/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00110592/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00114688/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00114688/camera/metainfo.json index 240d33ee69e63b763e79e5a1f188bc0e6fcee3c1..109178912b412e7730f1f8277599cc77f3763f64 100644 --- a/FreiHAND/shared-v1.0/data/training_00114688/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00114688/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00118784/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00118784/camera/metainfo.json index 23cb7bfe78c1acc2c18b4718b0775df1ccbc383e..cd3cb59e774965db84445c9030207c6f75434de6 100644 --- a/FreiHAND/shared-v1.0/data/training_00118784/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00118784/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00122880/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00122880/camera/metainfo.json index a10ac165fffe47d5da1618d140dc2e0c04cfa867..b42f2618d62ed72dd2cbdd01b33de405693aca38 100644 --- a/FreiHAND/shared-v1.0/data/training_00122880/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00122880/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/data/training_00126976/camera/metainfo.json b/FreiHAND/shared-v1.0/data/training_00126976/camera/metainfo.json index 67ef76321c5652bf3e0e66b21f6e90a8b62b1359..ecd642a773b4e7caa9b447142c9eb3d541332551 100644 --- a/FreiHAND/shared-v1.0/data/training_00126976/camera/metainfo.json +++ b/FreiHAND/shared-v1.0/data/training_00126976/camera/metainfo.json @@ -215,5 +215,6 @@ "archive": "raw/data/FreiHAND_pub_v2.zip", "member_prefix": "training/" }, - "storage_revision": "lossless-video-2026-09-18" -} \ No newline at end of file + "storage_revision": "lossless-video-2026-09-18", + "view_type": "exo" +} diff --git a/FreiHAND/shared-v1.0/doc/CONTRACT.md b/FreiHAND/shared-v1.0/doc/CONTRACT.md index 43f32bd0249ead979526501586dea3916f183d5c..e80d21a1c4af1bfaa2f429b3395a4304e6af6eb0 100644 --- a/FreiHAND/shared-v1.0/doc/CONTRACT.md +++ b/FreiHAND/shared-v1.0/doc/CONTRACT.md @@ -2,9 +2,11 @@ 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。 - -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。 +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 @@ -90,7 +92,7 @@ hand-datasets/ | 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 | 可选，`ego/exo/unknown` | +| 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。 @@ -172,7 +174,9 @@ RGB、深度和栅格 mask 在 shared 中统一使用 MKV 视频容器，不展 | 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 | -源与目标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；同时保留源编码的色彩标记和必要元数据。MJPEG-copy 还必须从 MKV 逐包取回并对比每张源 JPEG 的哈希。不能用 PSNR 高、视觉相似、编码器参数称为 lossless 等代替全帧精确检查。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。 +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。 @@ -284,24 +288,26 @@ rational8 对归一化坐标 x=X/Z、y=Y/Z，令 r²=x²+y²，径向项为 `(1+ 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：标注是否存在 +#### 5.1.1 valid：标注是否可用于监督 -对手标注，`valid=false` 表示这一帧没有对应标注，例如图像已经开始录制但动捕尚未开始、动捕中断、源标注缺帧或无法建立帧对应。它不表示画面中没有手，也不表示手被遮挡、出画或标注质量较低。各组件独立判断：没有 MANO 标注不代表同时没有关键点标注。MANO 按 `[T,2]` 分别标记左右手；关键点按 `[T,2,K]` 标记，整只手缺少该套关键点时整槽为 false，只有部分点缺标注时仅那些点为 false。 +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。 -**这是本仓库归一化后的 annotation-presence 定义，不是源数据中所有同名 valid 字段的通用解释。** “没有标注”指源提供了实际标注而非缺失占位符，并已对应到该帧；仅有文件或数组位置不算有标注。false 不说明缺失原因：未开始动捕只是示例，源没有区分原因时不推断。 +**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 与 visible | 分别表达姿态是否提供、是否可见；可用性不评价精度 | 分开处理；整帧两手聚合标记不能直接广播成逐手 valid，应检查逐手记录 | +| [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 | 不直接作为本仓库标注存在性；有实际标注时保留。按当前范围不另存评估属性，但不能宣称本 valid 等于官方评估筛选规则 | +| [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；检查失败属于数据错误，应报告或修复，不能为了掩盖错误把已有标注静默改为“缺标注”。RGB、深度等非标注组件的 valid 仍按各自 schema 表示观测是否存在或是否有有效测量。 +`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 @@ -309,18 +315,19 @@ rational8 对归一化坐标 x=X/Z、y=Y/Z，令 r²=x²+y²，径向项为 `(1+ 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“有没有这项标注”，`visibility` 回答“在当前图像中是否可见（或可见多少）”，两者独立。不可见的手或关键点仍可有标注，必须保留其坐标和 valid=true。源没有提供 visibility 时缺省或标为未知，不由 valid 推断。 +`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，但动捕/源数据仍有该手标注 | 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 | 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 | +| 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 仅表示“可见性标注是否提供”，不复用 MANO 或关键点坐标的 valid_ref。上述例子不要求凭图像自动生成可见性。 +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。 -拟合误差、额外评估有效性、曝光、QA、截断比例及额外聚合质量标记不纳入 shared。原始资料仍留在 raw；取消为这些信息设立的文件及 frame_attributes/quality_attributes 登记要求。官方 split 和组件原有 available/valid 保留。 +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 @@ -328,7 +335,7 @@ MANO schema `mano/axis_angle61/v1`：`motion.pt [T,2,61]`，顺序为完整 16 `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`；百分比须除以 100。通过 MANO 组件的 attributes 登记，未知值使用独立有效性，不复用 motion_valid。 +`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。 diff --git a/FreiHAND/shared-v1.0/doc/RAW_MAPPING.md b/FreiHAND/shared-v1.0/doc/RAW_MAPPING.md index d79f4b904b93e156eebdf229d77b7fdb247cf2cf..a6bd21b4b13655ed3aac394b62ee152256d120b9 100644 --- a/FreiHAND/shared-v1.0/doc/RAW_MAPPING.md +++ b/FreiHAND/shared-v1.0/doc/RAW_MAPPING.md @@ -19,3 +19,8 @@ 正式入口为 `script/convert_freihand.py`、`script/validate_freihand.py` 和 `script/render_full_random_review.py`，三者均无必填命令行参数，并从脚本自身位置定位本数据集的 `raw/`、`shared-v1.0/` 和 `tmp/`。依赖 Python、numpy、torch、Pillow、opencv-python、imageio-ffmpeg、smplx，以及用户自行授权的 MANO v1.2 模型；模型权重不上传。完整原包直接按 ZIP 成员读取，不在 raw 中解压。入口、内部模块及模型查找规则见 `script/README.md`。 两个官方原始 ZIP 同时上传到 FreiHAND/raw/data，保持原字节不变。doc 只保留原包 URL、大小、SHA256 等来源说明、字段映射与规范；script 保留可直接运行的转换、校验和报告代码。可分发的校验报告、人工预览、样本范围与验收结论保存在 doc/validation 并随 share 发布；运行日志、逐批调试记录与上传进度放 tmp，不上传，成功后清理。转换和校验脚本不会删除或改写 raw；本地 raw 的保留或清理由项目级授权另行决定。 + + +## View type + +Every published view has `view_type: exo`. FreiHAND images were recorded by the calibrated, synchronized external camera rig described by the official release. The flattened shared shards do not claim a recoverable physical camera ID for each image variant; `view_type` records the established external-view class only. diff --git a/FreiHAND/shared-v1.0/doc/schema.json b/FreiHAND/shared-v1.0/doc/schema.json index 5671184ee8a06236b10cffb61a8dd86726d4faa5..edb7cf7ce8e8e282d1fbfb5b39ef02a60321d2fb 100644 --- a/FreiHAND/shared-v1.0/doc/schema.json +++ b/FreiHAND/shared-v1.0/doc/schema.json @@ -1,10 +1,32 @@ { - "schema_version": "hand-warehouse/1.0", - "hand_slots": [ - "left", - "right" - ], - "keypoints": { + "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": [ @@ -734,10 +756,22 @@ "method": "stream_copy_from_source_jpeg", "logical_dtype": "uint8", "decoded_pixel_format": "rgb24", - "validation": [ - "source_jpeg_packet_sha256_exact", - "all_decoded_rgb_frames_exact" - ] + "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", diff --git a/FreiHAND/shared-v1.0/script/convert_freihand.py b/FreiHAND/shared-v1.0/script/convert_freihand.py index 1455f301f4fa0afe79bb3dc8748495f5ef5c3031..ea5176db54b5b72a0c972c6b21f409fa59284c0d 100644 --- a/FreiHAND/shared-v1.0/script/convert_freihand.py +++ b/FreiHAND/shared-v1.0/script/convert_freihand.py @@ -60,6 +60,7 @@ def main(): summary.append({'sequence':seq,'frames':t,'status':'already_complete'});continue if model is None:model=Mano() v=View('FreiHAND',seq,'camera',ids,[224,224],source_locator,kind='image',split='train' if split=='training' else 'test') + v.m['view_type']='exo' v.m['split_scheme']='FreiHAND_official_train_evaluation' v.m['split_source_locator']={'archive':'raw/data/'+filename,'member_prefix':split+'/'} v.m['schema_version']='hand-warehouse/1.0';v.m['storage_revision']='lossless-video-2026-09-18' diff --git a/FreiHAND/shared-v1.0/script/validate_freihand.py b/FreiHAND/shared-v1.0/script/validate_freihand.py index 73764d7aee45d2122046c944e5b16cc689527582..2109682b2cbcdfcfdd60d0e5be05bc74ddf211dc 100644 --- a/FreiHAND/shared-v1.0/script/validate_freihand.py +++ b/FreiHAND/shared-v1.0/script/validate_freihand.py @@ -1,52 +1,52 @@ -"""Validate the adjacent FreiHAND shared-v1.0 tree and fingerprint its current bytes.""" -import argparse, hashlib, json -import numpy as np -import torch -from freihand_common import RELEASE_ROOT, TMP_ROOT, load, save - -def main(): - argparse.ArgumentParser(description='Validate the adjacent FreiHAND shared-v1.0 release.').parse_args() - registry = load(RELEASE_ROOT / 'doc/schema.json') - counts = {'training': 0, 'evaluation': 0}; seen = set(); views = 0 - for path in sorted((RELEASE_ROOT / 'data').glob('*/*/metainfo.json')): - meta = load(path); base = path.parent; total = meta['num_frames']; views += 1 - for key in ['schema_version','split_scheme','split_source_locator','sampling','camera','components']: - assert key in meta, (path,key) - assert meta['schema_version'] == 'hand-warehouse/1.0' - frames = [json.loads(line) for line in (base/'camera/frames.jsonl').read_text(encoding='utf-8').splitlines()] - assert len(frames) == total - for index, frame in enumerate(frames): - assert frame['frame_index'] == index and frame['sample_id'] not in seen - seen.add(frame['sample_id']); source_split = frame['sample_id'].split('/')[1]; counts[source_split] += 1 - modulus = 32560 if source_split == 'training' else 3960 - assert frame['source_locator']['annotation_index'] == int(frame['source_frame_id']) % modulus - for name, component in meta['components'].items(): - definition = registry['components'][component['schema_id']] - required = ['available','data_ref','axes','valid_ref','valid_axes','provenance','source_locator',*definition.get('required_metadata',[])] - for key in required: assert key in component, (path,name,key) - assert (base/component['data_ref']).is_file() - valid = torch.load(base/component['valid_ref'], weights_only=True).numpy(); assert valid.dtype == bool - assert list(valid.shape) == [total if axis == 'T' else axis for axis in definition['valid_shape']] - if component['data_ref'].endswith('.pt'): - value = torch.load(base/component['data_ref'], weights_only=True).numpy() - assert value.dtype == np.float32 - assert list(value.shape) == [total if axis == 'T' else axis for axis in definition['shape']] - assert np.isfinite(value[valid]).all() and np.isnan(value[~valid]).all() - else: - assert component['storage']['profile'] in definition['allowed_storage_profiles'] - for key in registry['video_metadata']['required']: assert key in component['storage'], (name,key) - assert counts == {'training':130240,'evaluation':3960}, counts - result = {'passed':True,'views':views,'counts':counts,'schema_version':'hand-warehouse/1.0', - 'scope':'current content and layout; does not independently prove official source correctness or visual quality'} - save(TMP_ROOT/'acceptance.json', result) - manifest=[] - for path in sorted(RELEASE_ROOT.rglob('*')): - if not path.is_file() or '.cache' in path.parts: continue - digest=hashlib.sha256() - with path.open('rb') as stream: - for block in iter(lambda: stream.read(8 << 20), b''): digest.update(block) - manifest.append({'path':path.relative_to(RELEASE_ROOT).as_posix(),'size':path.stat().st_size,'sha256':digest.hexdigest()}) - save(TMP_ROOT/'files.sha256.json',{'scope':result['scope'],'files':manifest,'bytes':sum(x['size'] for x in manifest)}) - print(json.dumps(result,ensure_ascii=False)) - -if __name__ == '__main__': main() +"""Validate the adjacent FreiHAND shared-v1.0 tree and fingerprint its current bytes.""" +import argparse, hashlib, json +import numpy as np +import torch +from freihand_common import RELEASE_ROOT, TMP_ROOT, load, save + +def main(): + argparse.ArgumentParser(description='Validate the adjacent FreiHAND shared-v1.0 release.').parse_args() + registry = load(RELEASE_ROOT / 'doc/schema.json') + counts = {'training': 0, 'evaluation': 0}; seen = set(); views = 0 + for path in sorted((RELEASE_ROOT / 'data').glob('*/*/metainfo.json')): + meta = load(path); base = path.parent; total = meta['num_frames']; views += 1 + for key in ['schema_version','view_type','split_scheme','split_source_locator','sampling','camera','components']: + assert key in meta, (path,key) + assert meta['schema_version'] == 'hand-warehouse/1.0' and meta['view_type'] == 'exo' + frames = [json.loads(line) for line in (base/'camera/frames.jsonl').read_text(encoding='utf-8').splitlines()] + assert len(frames) == total + for index, frame in enumerate(frames): + assert frame['frame_index'] == index and frame['sample_id'] not in seen + seen.add(frame['sample_id']); source_split = frame['sample_id'].split('/')[1]; counts[source_split] += 1 + modulus = 32560 if source_split == 'training' else 3960 + assert frame['source_locator']['annotation_index'] == int(frame['source_frame_id']) % modulus + for name, component in meta['components'].items(): + definition = registry['components'][component['schema_id']] + required = ['available','data_ref','axes','valid_ref','valid_axes','provenance','source_locator',*definition.get('required_metadata',[])] + for key in required: assert key in component, (path,name,key) + assert (base/component['data_ref']).is_file() + valid = torch.load(base/component['valid_ref'], weights_only=True).numpy(); assert valid.dtype == bool + assert list(valid.shape) == [total if axis == 'T' else axis for axis in definition['valid_shape']] + if component['data_ref'].endswith('.pt'): + value = torch.load(base/component['data_ref'], weights_only=True).numpy() + assert value.dtype == np.float32 + assert list(value.shape) == [total if axis == 'T' else axis for axis in definition['shape']] + assert np.isfinite(value[valid]).all() and np.isnan(value[~valid]).all() + else: + assert component['storage']['profile'] in definition['allowed_storage_profiles'] + for key in registry['video_metadata']['required']: assert key in component['storage'], (name,key) + assert counts == {'training':130240,'evaluation':3960}, counts + result = {'passed':True,'views':views,'counts':counts,'schema_version':'hand-warehouse/1.0', + 'scope':'current content and layout; does not independently prove official source correctness or visual quality'} + save(TMP_ROOT/'acceptance.json', result) + manifest=[] + for path in sorted(RELEASE_ROOT.rglob('*')): + if not path.is_file() or '.cache' in path.parts: continue + digest=hashlib.sha256() + with path.open('rb') as stream: + for block in iter(lambda: stream.read(8 << 20), b''): digest.update(block) + manifest.append({'path':path.relative_to(RELEASE_ROOT).as_posix(),'size':path.stat().st_size,'sha256':digest.hexdigest()}) + save(TMP_ROOT/'files.sha256.json',{'scope':result['scope'],'files':manifest,'bytes':sum(x['size'] for x in manifest)}) + print(json.dumps(result,ensure_ascii=False)) + +if __name__ == '__main__': main() diff --git a/HOT3D/shared-v1.0/doc/CONTRACT.md b/HOT3D/shared-v1.0/doc/CONTRACT.md index f756d711647e109b6bb732ce1b9c84111730489d..e80d21a1c4af1bfaa2f429b3395a4304e6af6eb0 100644 --- a/HOT3D/shared-v1.0/doc/CONTRACT.md +++ b/HOT3D/shared-v1.0/doc/CONTRACT.md @@ -2,9 +2,11 @@ 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。 - -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。 +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 @@ -90,7 +92,7 @@ hand-datasets/ | 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 | 可选，`ego/exo/unknown` | +| 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。 diff --git a/HOT3D/shared-v1.0/doc/schema.json b/HOT3D/shared-v1.0/doc/schema.json index d904a34272de7f3fd4428c8dc68a919e94a68fca..edb7cf7ce8e8e282d1fbfb5b39ef02a60321d2fb 100644 --- a/HOT3D/shared-v1.0/doc/schema.json +++ b/HOT3D/shared-v1.0/doc/schema.json @@ -11,11 +11,22 @@ "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" - ], - "keypoints": { + "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": [ diff --git a/RHD/shared-v1.0/data/evaluation_00000000/camera/metainfo.json b/RHD/shared-v1.0/data/evaluation_00000000/camera/metainfo.json index 7a2077f4f67482c604b807c934464447b9db65a7..b962f2013218360c01832d4cea323ac20505f23a 100644 --- a/RHD/shared-v1.0/data/evaluation_00000000/camera/metainfo.json +++ b/RHD/shared-v1.0/data/evaluation_00000000/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/evaluation" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/evaluation_00000512/camera/metainfo.json b/RHD/shared-v1.0/data/evaluation_00000512/camera/metainfo.json index 73eac1e6228fc4faf0e9c27b85e30739374fe22a..00d8d00a2519a5b3d7aebad1b0f9346076cc5350 100644 --- a/RHD/shared-v1.0/data/evaluation_00000512/camera/metainfo.json +++ b/RHD/shared-v1.0/data/evaluation_00000512/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/evaluation" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/evaluation_00001024/camera/metainfo.json b/RHD/shared-v1.0/data/evaluation_00001024/camera/metainfo.json index bbc397f3bd59ed30923bb8ff128b7524446e06ad..7a7ac1212e13f1748cddf09c030253e1417a9e1e 100644 --- a/RHD/shared-v1.0/data/evaluation_00001024/camera/metainfo.json +++ b/RHD/shared-v1.0/data/evaluation_00001024/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/evaluation" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/evaluation_00001536/camera/metainfo.json b/RHD/shared-v1.0/data/evaluation_00001536/camera/metainfo.json index d94a363a660d9ba83b38713095d30b720c4e6881..68144c90d52d9fbd0f48f395dad3b5363d6f2302 100644 --- a/RHD/shared-v1.0/data/evaluation_00001536/camera/metainfo.json +++ b/RHD/shared-v1.0/data/evaluation_00001536/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/evaluation" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/evaluation_00002048/camera/metainfo.json b/RHD/shared-v1.0/data/evaluation_00002048/camera/metainfo.json index 03275ab86d2676ddafeff85efcc43996bd4b81be..dcc6c204bcfe605b696fa1d44e234f0aed21bcf9 100644 --- a/RHD/shared-v1.0/data/evaluation_00002048/camera/metainfo.json +++ b/RHD/shared-v1.0/data/evaluation_00002048/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/evaluation" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/evaluation_00002560/camera/metainfo.json b/RHD/shared-v1.0/data/evaluation_00002560/camera/metainfo.json index 285a831d2fedba5b19563909608a0ade2ed30b88..b5cccc0a16c691ca5bc6015909a32fbddd8638ad 100644 --- a/RHD/shared-v1.0/data/evaluation_00002560/camera/metainfo.json +++ b/RHD/shared-v1.0/data/evaluation_00002560/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/evaluation" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00000000/camera/metainfo.json b/RHD/shared-v1.0/data/training_00000000/camera/metainfo.json index 4e6ad3df71f5412ca486b891dbfbdc4b45c4e651..cdc1575c56d263b8fb8cabf393c020804095fac1 100644 --- a/RHD/shared-v1.0/data/training_00000000/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00000000/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00000512/camera/metainfo.json b/RHD/shared-v1.0/data/training_00000512/camera/metainfo.json index 1774ccba6a25a07ffeacb8ade0bebee491269235..9992685e811fddb79a83bfd982bd1b78f9d35ce8 100644 --- a/RHD/shared-v1.0/data/training_00000512/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00000512/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00001024/camera/metainfo.json b/RHD/shared-v1.0/data/training_00001024/camera/metainfo.json index c482280bacb2bc55b25205bd1a50062c1e628af0..1f70b6798c9a7d8e8c8c96fd2041b80ef9dba1e2 100644 --- a/RHD/shared-v1.0/data/training_00001024/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00001024/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00001536/camera/metainfo.json b/RHD/shared-v1.0/data/training_00001536/camera/metainfo.json index f2139e2fe973f65e8164e2cb7e773512a8ec1cf5..42f8545a4a9824b057ecd3751339d084966e162e 100644 --- a/RHD/shared-v1.0/data/training_00001536/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00001536/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00002048/camera/metainfo.json b/RHD/shared-v1.0/data/training_00002048/camera/metainfo.json index e2788c5b6a9f85ce17916acd24b34dd11eeba88e..ea374688930853259ad00d2a052f2089cbb7d036 100644 --- a/RHD/shared-v1.0/data/training_00002048/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00002048/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00002560/camera/metainfo.json b/RHD/shared-v1.0/data/training_00002560/camera/metainfo.json index bfb28bbf69509efe7bc33a95140eff1fa1784f6f..0277a731e6e358481fdb5ab7405c1af0438f842b 100644 --- a/RHD/shared-v1.0/data/training_00002560/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00002560/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00003072/camera/metainfo.json b/RHD/shared-v1.0/data/training_00003072/camera/metainfo.json index 35a77614bdee0e0c6edd2d696b122bcf9d20cbdd..5e7b4da29f04ca74e15fcec698b9a32089616f18 100644 --- a/RHD/shared-v1.0/data/training_00003072/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00003072/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00003584/camera/metainfo.json b/RHD/shared-v1.0/data/training_00003584/camera/metainfo.json index eeb5965a8e60aff65b36b3246134d086d7bc75e5..83e2e81dc6ea9bcf90bd932b9a76164b1471d871 100644 --- a/RHD/shared-v1.0/data/training_00003584/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00003584/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00004096/camera/metainfo.json b/RHD/shared-v1.0/data/training_00004096/camera/metainfo.json index 15d2fa19149ec1b2f576dc53a13b451724c3caf8..12ead787dd4a3d566ca4f9c9ebe896019e239963 100644 --- a/RHD/shared-v1.0/data/training_00004096/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00004096/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00004608/camera/metainfo.json b/RHD/shared-v1.0/data/training_00004608/camera/metainfo.json index 925fe32927c3d027d44a66df3916e35e939da584..03e11ed2ac244495162ab73645a738ba08fe2d19 100644 --- a/RHD/shared-v1.0/data/training_00004608/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00004608/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00005120/camera/metainfo.json b/RHD/shared-v1.0/data/training_00005120/camera/metainfo.json index a0024dee7349bb8ad257f9293b6d18e2d6b26217..ea83b88c0dc55a1bdb4452a9f7657a69f38ff40a 100644 --- a/RHD/shared-v1.0/data/training_00005120/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00005120/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00005632/camera/metainfo.json b/RHD/shared-v1.0/data/training_00005632/camera/metainfo.json index 9b843d47e4d9abd387d1113b93df7d01d615209a..3667abc81f5a8264c07fa7d890c1f7e8271945ae 100644 --- a/RHD/shared-v1.0/data/training_00005632/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00005632/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00006144/camera/metainfo.json b/RHD/shared-v1.0/data/training_00006144/camera/metainfo.json index 64ac7eb2d67ff40a291f9f5069f5a1332cd7a7a8..fa079f3bac3455bd0c0cdcc1a9dd80d9e30039c3 100644 --- a/RHD/shared-v1.0/data/training_00006144/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00006144/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00006656/camera/metainfo.json b/RHD/shared-v1.0/data/training_00006656/camera/metainfo.json index 590e42425a73e0d1ca929dd57cccfd640c9f8e85..0c6e62cec7a2e18069e382becfa99c9c09f84312 100644 --- a/RHD/shared-v1.0/data/training_00006656/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00006656/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00007168/camera/metainfo.json b/RHD/shared-v1.0/data/training_00007168/camera/metainfo.json index 0b66367f9ce76713efa320aa43340edad2e9edd5..7999c7374989ebc3743d5fb757b0c2a50adecaea 100644 --- a/RHD/shared-v1.0/data/training_00007168/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00007168/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00007680/camera/metainfo.json b/RHD/shared-v1.0/data/training_00007680/camera/metainfo.json index ff6a868ee1924ba524c955333639ea351a18549f..79a752909178e49e28082a7784fbf5cd978452ac 100644 --- a/RHD/shared-v1.0/data/training_00007680/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00007680/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00008192/camera/metainfo.json b/RHD/shared-v1.0/data/training_00008192/camera/metainfo.json index cb1ea0fa909ae63232a92f409d8e2504bb08d195..49182d63083622b999fa3e33cf5703d53890ed8c 100644 --- a/RHD/shared-v1.0/data/training_00008192/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00008192/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00008704/camera/metainfo.json b/RHD/shared-v1.0/data/training_00008704/camera/metainfo.json index f3573565294d0a68e6c82c98190d556c2e9f8344..48284d4d35cf1f9e005719015a14c620ea30b298 100644 --- a/RHD/shared-v1.0/data/training_00008704/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00008704/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00009216/camera/metainfo.json b/RHD/shared-v1.0/data/training_00009216/camera/metainfo.json index f3e061c28a57512cfdbd8f1ca4a8c2dd2041abf4..8c77775b2803736735fc12728096a03d2efadf7c 100644 --- a/RHD/shared-v1.0/data/training_00009216/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00009216/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00009728/camera/metainfo.json b/RHD/shared-v1.0/data/training_00009728/camera/metainfo.json index 333589529f5eca7888c21f519858822bc7706766..263af7554757b6913fbbceeee529564439377ffe 100644 --- a/RHD/shared-v1.0/data/training_00009728/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00009728/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00010240/camera/metainfo.json b/RHD/shared-v1.0/data/training_00010240/camera/metainfo.json index faf5c4d1ee382a01b752bd2729756284cc1c4be0..6c69cfb83cb39f304107fd58cb8f0658c9d12a36 100644 --- a/RHD/shared-v1.0/data/training_00010240/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00010240/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00010752/camera/metainfo.json b/RHD/shared-v1.0/data/training_00010752/camera/metainfo.json index b3ddb397d645a59ed851e18121543cf0c0de00fa..fb7c316a88fa0abdf879a57b47470e9b92aa915d 100644 --- a/RHD/shared-v1.0/data/training_00010752/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00010752/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00011264/camera/metainfo.json b/RHD/shared-v1.0/data/training_00011264/camera/metainfo.json index 7d7ef6cbdd391381ba9ceaa8304d5d6464c78b35..53065f6a27bf9534fb91b7cd9f69f5474a583696 100644 --- a/RHD/shared-v1.0/data/training_00011264/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00011264/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00011776/camera/metainfo.json b/RHD/shared-v1.0/data/training_00011776/camera/metainfo.json index b99d31a232e054822990a604aa85ab2ae293f078..d4199020c03590ab53219a2ea23cd02e7a8cc8b6 100644 --- a/RHD/shared-v1.0/data/training_00011776/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00011776/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00012288/camera/metainfo.json b/RHD/shared-v1.0/data/training_00012288/camera/metainfo.json index ff6d89489b98561176d43a2b0af363bdda86b66d..cb9e94c61969c15dbc8666b8c223783e974df9f6 100644 --- a/RHD/shared-v1.0/data/training_00012288/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00012288/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00012800/camera/metainfo.json b/RHD/shared-v1.0/data/training_00012800/camera/metainfo.json index 9a541f6c7675b9c8b28d6edf3cba8e3d44bb191f..33568d7dd40f770452f58e6b3a21f1d4b7632b40 100644 --- a/RHD/shared-v1.0/data/training_00012800/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00012800/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00013312/camera/metainfo.json b/RHD/shared-v1.0/data/training_00013312/camera/metainfo.json index 7278998045fed802ff3d85997952bb02c7fffd5d..5045cb9baa29957a01bb3a76662da6ba2ab16c58 100644 --- a/RHD/shared-v1.0/data/training_00013312/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00013312/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00013824/camera/metainfo.json b/RHD/shared-v1.0/data/training_00013824/camera/metainfo.json index 1a80354765630d90183fdd4ad5d3f2a9460034ff..da8348eb92100e7dc421e2b7163ea11302002c46 100644 --- a/RHD/shared-v1.0/data/training_00013824/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00013824/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00014336/camera/metainfo.json b/RHD/shared-v1.0/data/training_00014336/camera/metainfo.json index 8544ea62ff92927fb3cd5e066e76eed19b7655e0..984b253932e49818eac778d94063aedc1470174d 100644 --- a/RHD/shared-v1.0/data/training_00014336/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00014336/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00014848/camera/metainfo.json b/RHD/shared-v1.0/data/training_00014848/camera/metainfo.json index c093677e5475575c7f4b9e45d30e0021898eb54b..3a945e4c4f0c5231bf32a0063c03a7f325af2533 100644 --- a/RHD/shared-v1.0/data/training_00014848/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00014848/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00015360/camera/metainfo.json b/RHD/shared-v1.0/data/training_00015360/camera/metainfo.json index 5ba1bd1727d8062e0fc8d836ef7c9ea3a86d5c12..dc184dd459b8cc4a02a6ad67c18fa5ad4fe424ff 100644 --- a/RHD/shared-v1.0/data/training_00015360/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00015360/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00015872/camera/metainfo.json b/RHD/shared-v1.0/data/training_00015872/camera/metainfo.json index 9616cfe9e4bbd564933db12ae973234bb5bb946a..11a7c4b9bcb6c9ebc3556269f6e96c7444f385b7 100644 --- a/RHD/shared-v1.0/data/training_00015872/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00015872/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00016384/camera/metainfo.json b/RHD/shared-v1.0/data/training_00016384/camera/metainfo.json index 259aa76ef2bbfd3a42aa3c3499f568574e451bdd..04a18365232c8c8643b1202ff71e29360e26e505 100644 --- a/RHD/shared-v1.0/data/training_00016384/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00016384/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00016896/camera/metainfo.json b/RHD/shared-v1.0/data/training_00016896/camera/metainfo.json index 3f39979d00eb98c1c4c806ea412a3b502effad7b..4bad8f9de3bba49ce549b30e405008ea4f5d650e 100644 --- a/RHD/shared-v1.0/data/training_00016896/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00016896/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00017408/camera/metainfo.json b/RHD/shared-v1.0/data/training_00017408/camera/metainfo.json index c344827f059e8b97d61a28eb9c82dd0645ddf158..dd34719f698064b966230102455e7a8480335767 100644 --- a/RHD/shared-v1.0/data/training_00017408/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00017408/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00017920/camera/metainfo.json b/RHD/shared-v1.0/data/training_00017920/camera/metainfo.json index ff3e001d25fb2f0aa7490f30fb4f412f30709569..a9b0bab40259b51f356dffeb5b10497e81bc7bfc 100644 --- a/RHD/shared-v1.0/data/training_00017920/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00017920/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00018432/camera/metainfo.json b/RHD/shared-v1.0/data/training_00018432/camera/metainfo.json index 5e35d2f3f9a72cd4efd0079800e9e12f5be0234a..71b4c5f558248b7785e86b19d02fdb2585f184b9 100644 --- a/RHD/shared-v1.0/data/training_00018432/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00018432/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00018944/camera/metainfo.json b/RHD/shared-v1.0/data/training_00018944/camera/metainfo.json index c6e612d13e8dee36c708792034f271f23d3c470f..a7bfa0f088357f4b7ea7c3c17da6b74f29dd0848 100644 --- a/RHD/shared-v1.0/data/training_00018944/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00018944/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00019456/camera/metainfo.json b/RHD/shared-v1.0/data/training_00019456/camera/metainfo.json index 7d01be64bd2c9bebc34d085c2ff75a9a8e946453..1ff53fcf6d78791cd1571fa29298482811c932db 100644 --- a/RHD/shared-v1.0/data/training_00019456/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00019456/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00019968/camera/metainfo.json b/RHD/shared-v1.0/data/training_00019968/camera/metainfo.json index abbde7b367580f0db3245b4a1ca7716869aa7c42..ef989dab01816a448dff69b477df0f98ad55b440 100644 --- a/RHD/shared-v1.0/data/training_00019968/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00019968/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00020480/camera/metainfo.json b/RHD/shared-v1.0/data/training_00020480/camera/metainfo.json index 9395ca0feeb9316cb1609fb362c8c5f99e6aaf34..38441bd368f5c9b9bc2776e00279192ca8f42304 100644 --- a/RHD/shared-v1.0/data/training_00020480/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00020480/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00020992/camera/metainfo.json b/RHD/shared-v1.0/data/training_00020992/camera/metainfo.json index ea692643bf2ae5bdeb2e0b9aa5f1488951a60b81..1ef282c9a4419f977fd99e22e15e1aca6cdffd0b 100644 --- a/RHD/shared-v1.0/data/training_00020992/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00020992/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00021504/camera/metainfo.json b/RHD/shared-v1.0/data/training_00021504/camera/metainfo.json index 68bf7fe5168f18cb19ca5326eaea7419bb3a83fd..641d80c0618042c912b3451adb20d109059255fd 100644 --- a/RHD/shared-v1.0/data/training_00021504/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00021504/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00022016/camera/metainfo.json b/RHD/shared-v1.0/data/training_00022016/camera/metainfo.json index 15eb371207f7a77b3abd1f1e2ee107db5878b5c3..a15324cd268792d1f6e3405e2e4a5e282fcf4bd3 100644 --- a/RHD/shared-v1.0/data/training_00022016/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00022016/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00022528/camera/metainfo.json b/RHD/shared-v1.0/data/training_00022528/camera/metainfo.json index f7f6c5ce2b831897d3cf2f97ea86695f92b38720..e57e73769160ad42682f96f1a5964e19c290a980 100644 --- a/RHD/shared-v1.0/data/training_00022528/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00022528/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00023040/camera/metainfo.json b/RHD/shared-v1.0/data/training_00023040/camera/metainfo.json index 589983a33fa8fb69afbadd5449917254012deb12..ffe18913a6e4564c400339800f6e4e82c65be5ed 100644 --- a/RHD/shared-v1.0/data/training_00023040/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00023040/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00023552/camera/metainfo.json b/RHD/shared-v1.0/data/training_00023552/camera/metainfo.json index 521ff780dedeb3a5e5f6e880c5a0d6760e1ac1e7..a34bc09956c59b522028dcca10d3dfb1b7084c9f 100644 --- a/RHD/shared-v1.0/data/training_00023552/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00023552/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00024064/camera/metainfo.json b/RHD/shared-v1.0/data/training_00024064/camera/metainfo.json index 0fc2befa5e1f6dca0410d55cc78841bfd3d8faf5..3ec257451c5bf7196d50eb867b79b3fa501c9add 100644 --- a/RHD/shared-v1.0/data/training_00024064/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00024064/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00024576/camera/metainfo.json b/RHD/shared-v1.0/data/training_00024576/camera/metainfo.json index f4059f182e8280c098cfff9617f01ba6624cf115..9b56dd23202e41f2aeb3b54120ff69c2cac0c88b 100644 --- a/RHD/shared-v1.0/data/training_00024576/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00024576/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00025088/camera/metainfo.json b/RHD/shared-v1.0/data/training_00025088/camera/metainfo.json index 0c1dd9612e9374ac2ea7919fac8030196ccbb626..988b5fcca1120d3dfdf0d651faa9570f8a4134cf 100644 --- a/RHD/shared-v1.0/data/training_00025088/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00025088/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00025600/camera/metainfo.json b/RHD/shared-v1.0/data/training_00025600/camera/metainfo.json index 44a8db64fcae8b2cb7baff38b30afade0f61434b..01688806d51bad75ce0a330d9c6979e6fd6d7192 100644 --- a/RHD/shared-v1.0/data/training_00025600/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00025600/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00026112/camera/metainfo.json b/RHD/shared-v1.0/data/training_00026112/camera/metainfo.json index 94cb8848b3ccbdab40ee63176da72bc84d267b93..85fb771ff877b1a3f36b4abf74317b955ecf9373 100644 --- a/RHD/shared-v1.0/data/training_00026112/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00026112/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00026624/camera/metainfo.json b/RHD/shared-v1.0/data/training_00026624/camera/metainfo.json index 062044554d200670b50b4c6597db6d0e2f95534f..53766014098bc6c02c937d2b22bc6aaabb1ff766 100644 --- a/RHD/shared-v1.0/data/training_00026624/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00026624/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00027136/camera/metainfo.json b/RHD/shared-v1.0/data/training_00027136/camera/metainfo.json index d2f73b66900ed74af27304193ec4007d78b62ebb..47b4d69495b8466f4bd6db983803713d0e350ad3 100644 --- a/RHD/shared-v1.0/data/training_00027136/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00027136/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00027648/camera/metainfo.json b/RHD/shared-v1.0/data/training_00027648/camera/metainfo.json index 179a303bd484c659a68efa27334653d16cdf4340..c913defe685a0fc600ac879d2e43887f96c207b0 100644 --- a/RHD/shared-v1.0/data/training_00027648/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00027648/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00028160/camera/metainfo.json b/RHD/shared-v1.0/data/training_00028160/camera/metainfo.json index e309e49e4d900afca133147f9b2ff4fcff5a6c18..ae8f353c664ecdaa7cdb66e15e244dc8cd21eacd 100644 --- a/RHD/shared-v1.0/data/training_00028160/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00028160/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00028672/camera/metainfo.json b/RHD/shared-v1.0/data/training_00028672/camera/metainfo.json index 42f3ae49807ced73b9627b603b5981cc06efac02..677aeca90c00c6e4cd90ea9b77d5dda2d4bf148a 100644 --- a/RHD/shared-v1.0/data/training_00028672/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00028672/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00029184/camera/metainfo.json b/RHD/shared-v1.0/data/training_00029184/camera/metainfo.json index 36a41956fe8e9dd0315eb5e6d018d2afc20dc1a7..8b6d0975666ccd1bce396c99c5ec1bc4fe9b82ef 100644 --- a/RHD/shared-v1.0/data/training_00029184/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00029184/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00029696/camera/metainfo.json b/RHD/shared-v1.0/data/training_00029696/camera/metainfo.json index 6656c1eaa275276543d75ba62788e9da7ebd142c..72ab66a71e6540a54f167a18c952e6dacd337378 100644 --- a/RHD/shared-v1.0/data/training_00029696/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00029696/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00030208/camera/metainfo.json b/RHD/shared-v1.0/data/training_00030208/camera/metainfo.json index 5287ab6df28fa2a4bcc7fe10ee0f9346b4d50a9e..90c347860614562b50864b4f84e12a5434db955a 100644 --- a/RHD/shared-v1.0/data/training_00030208/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00030208/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00030720/camera/metainfo.json b/RHD/shared-v1.0/data/training_00030720/camera/metainfo.json index fcad2dfcad116b204f9d7ef804a0213035951f52..afe5bb26f65fe88f0f984e0cfa3822e0056f0a90 100644 --- a/RHD/shared-v1.0/data/training_00030720/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00030720/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00031232/camera/metainfo.json b/RHD/shared-v1.0/data/training_00031232/camera/metainfo.json index abf20e522c3872eaeed2bdea6ffe8cc61db37777..ed3784e5e2886e43a196c99d403a95bd662e164c 100644 --- a/RHD/shared-v1.0/data/training_00031232/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00031232/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00031744/camera/metainfo.json b/RHD/shared-v1.0/data/training_00031744/camera/metainfo.json index 67279511bb0914bbb0f17b6ff9a7d286f49bb761..99ad611c982898fed4af128257a07c6a5e012a8c 100644 --- a/RHD/shared-v1.0/data/training_00031744/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00031744/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00032256/camera/metainfo.json b/RHD/shared-v1.0/data/training_00032256/camera/metainfo.json index 4a62a7f976994730da0c23af6d9c01c846c877fe..40615fb0bee8e25776054266e2a61852040bfe6f 100644 --- a/RHD/shared-v1.0/data/training_00032256/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00032256/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00032768/camera/metainfo.json b/RHD/shared-v1.0/data/training_00032768/camera/metainfo.json index a4a5083cbcbe9b9a28c8a887a5020aa92aafa3ad..ecb0d3d2fef8fbb47eb671ee4d27d813788966c5 100644 --- a/RHD/shared-v1.0/data/training_00032768/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00032768/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00033280/camera/metainfo.json b/RHD/shared-v1.0/data/training_00033280/camera/metainfo.json index 3cc018cc42e9a6b1585154a3045990ca8a626ee7..68b4b83fcae60987b2adafb6dce0a53f9f226c54 100644 --- a/RHD/shared-v1.0/data/training_00033280/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00033280/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00033792/camera/metainfo.json b/RHD/shared-v1.0/data/training_00033792/camera/metainfo.json index d5ca8e0cc163d845fb0c1cdb75e732c4cfdf7240..1bd910269d7056a3da304e05229ceacfcd3e10d3 100644 --- a/RHD/shared-v1.0/data/training_00033792/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00033792/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00034304/camera/metainfo.json b/RHD/shared-v1.0/data/training_00034304/camera/metainfo.json index 00a75f10966bd2a72fb6399e1a43bbd957bfc5b7..7fb9c116b769233808b028b182540160aedc6a07 100644 --- a/RHD/shared-v1.0/data/training_00034304/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00034304/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00034816/camera/metainfo.json b/RHD/shared-v1.0/data/training_00034816/camera/metainfo.json index d2a9df6cb2e4103180cef755fe88c07d2c4b1782..f64c9d69286d41d794417c9704c04f3c9a2fbc5c 100644 --- a/RHD/shared-v1.0/data/training_00034816/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00034816/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00035328/camera/metainfo.json b/RHD/shared-v1.0/data/training_00035328/camera/metainfo.json index 7e09a343198b911dd82bb8b75a2c9daeeaa18585..3dc2445da12f978678e1bfd8e72de3ebd0df31c7 100644 --- a/RHD/shared-v1.0/data/training_00035328/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00035328/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00035840/camera/metainfo.json b/RHD/shared-v1.0/data/training_00035840/camera/metainfo.json index 8566aaed63e9b4415eeeee803b6e1df22a3c7b25..2859ad89f4f4ff4bbabd6203af71a8a2c72e2c26 100644 --- a/RHD/shared-v1.0/data/training_00035840/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00035840/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00036352/camera/metainfo.json b/RHD/shared-v1.0/data/training_00036352/camera/metainfo.json index f3a32e12e8ea1a9cf2085418a002ef92adee9a9e..2e002ea9c4d49cc0e6922bc3ca14f60182ca63fe 100644 --- a/RHD/shared-v1.0/data/training_00036352/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00036352/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00036864/camera/metainfo.json b/RHD/shared-v1.0/data/training_00036864/camera/metainfo.json index b9428cffd34c0b18745a08e14447c4b287e8a4cd..06b70b942fd6c2429d05cf5188e59a0bb856366c 100644 --- a/RHD/shared-v1.0/data/training_00036864/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00036864/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00037376/camera/metainfo.json b/RHD/shared-v1.0/data/training_00037376/camera/metainfo.json index 94723b64fb834dd33b748f0347cb615373448da5..e0ce76cc0c22f9ae82c371bc2a0e669ead18e0bb 100644 --- a/RHD/shared-v1.0/data/training_00037376/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00037376/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00037888/camera/metainfo.json b/RHD/shared-v1.0/data/training_00037888/camera/metainfo.json index 7d1275fcbfb747e09077ef73c340d2f832bc299f..40dfc7f30d996a678c8d2d35c503d54b4bf2e30d 100644 --- a/RHD/shared-v1.0/data/training_00037888/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00037888/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00038400/camera/metainfo.json b/RHD/shared-v1.0/data/training_00038400/camera/metainfo.json index 324aac4fa3f218502625fbd72678fae69fd5510a..63ac258bd46798fe71fcd599a329632135534b3d 100644 --- a/RHD/shared-v1.0/data/training_00038400/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00038400/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00038912/camera/metainfo.json b/RHD/shared-v1.0/data/training_00038912/camera/metainfo.json index a2742efd7ffc995c8b0ba40e4b67d54b96e9e017..683e72a2486cb9f56552b86efb95f76021baa6a0 100644 --- a/RHD/shared-v1.0/data/training_00038912/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00038912/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00039424/camera/metainfo.json b/RHD/shared-v1.0/data/training_00039424/camera/metainfo.json index fe09082cc0465c22e87e53d2ff8b60ace239b765..e0f3e79924a9107fa1c074853294580b08edfc74 100644 --- a/RHD/shared-v1.0/data/training_00039424/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00039424/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00039936/camera/metainfo.json b/RHD/shared-v1.0/data/training_00039936/camera/metainfo.json index 74e80c8eda18218aa49d93fabe7a8f3d0e6084d3..1bab496902c2d1ed8b4214c409daaed4b3b707db 100644 --- a/RHD/shared-v1.0/data/training_00039936/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00039936/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00040448/camera/metainfo.json b/RHD/shared-v1.0/data/training_00040448/camera/metainfo.json index 79e301afbcf321392aa467216425bd9a91211746..3d35d2ad5dec044c5a2a2d0d20ff0cf4590b6cfa 100644 --- a/RHD/shared-v1.0/data/training_00040448/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00040448/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/data/training_00040960/camera/metainfo.json b/RHD/shared-v1.0/data/training_00040960/camera/metainfo.json index f6ef9693c241f279021890220b8c911114b98b96..6f2d886a27617c868f9262b4abd1f5cfe364b612 100644 --- a/RHD/shared-v1.0/data/training_00040960/camera/metainfo.json +++ b/RHD/shared-v1.0/data/training_00040960/camera/metainfo.json @@ -348,5 +348,6 @@ "split_source_locator": { "archive": "raw/data/RHD_v1-1.zip", "member_prefix": "RHD_published_v2/training" - } -} \ No newline at end of file + }, + "view_type": "exo" +} diff --git a/RHD/shared-v1.0/doc/CONTRACT.md b/RHD/shared-v1.0/doc/CONTRACT.md index 43f32bd0249ead979526501586dea3916f183d5c..e80d21a1c4af1bfaa2f429b3395a4304e6af6eb0 100644 --- a/RHD/shared-v1.0/doc/CONTRACT.md +++ b/RHD/shared-v1.0/doc/CONTRACT.md @@ -2,9 +2,11 @@ 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。 - -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。 +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 @@ -90,7 +92,7 @@ hand-datasets/ | 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 | 可选，`ego/exo/unknown` | +| 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。 @@ -172,7 +174,9 @@ RGB、深度和栅格 mask 在 shared 中统一使用 MKV 视频容器，不展 | 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 | -源与目标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；同时保留源编码的色彩标记和必要元数据。MJPEG-copy 还必须从 MKV 逐包取回并对比每张源 JPEG 的哈希。不能用 PSNR 高、视觉相似、编码器参数称为 lossless 等代替全帧精确检查。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。 +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。 @@ -284,24 +288,26 @@ rational8 对归一化坐标 x=X/Z、y=Y/Z，令 r²=x²+y²，径向项为 `(1+ 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：标注是否存在 +#### 5.1.1 valid：标注是否可用于监督 -对手标注，`valid=false` 表示这一帧没有对应标注，例如图像已经开始录制但动捕尚未开始、动捕中断、源标注缺帧或无法建立帧对应。它不表示画面中没有手，也不表示手被遮挡、出画或标注质量较低。各组件独立判断：没有 MANO 标注不代表同时没有关键点标注。MANO 按 `[T,2]` 分别标记左右手；关键点按 `[T,2,K]` 标记，整只手缺少该套关键点时整槽为 false，只有部分点缺标注时仅那些点为 false。 +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。 -**这是本仓库归一化后的 annotation-presence 定义，不是源数据中所有同名 valid 字段的通用解释。** “没有标注”指源提供了实际标注而非缺失占位符，并已对应到该帧；仅有文件或数组位置不算有标注。false 不说明缺失原因：未开始动捕只是示例，源没有区分原因时不推断。 +**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 与 visible | 分别表达姿态是否提供、是否可见；可用性不评价精度 | 分开处理；整帧两手聚合标记不能直接广播成逐手 valid，应检查逐手记录 | +| [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 | 不直接作为本仓库标注存在性；有实际标注时保留。按当前范围不另存评估属性，但不能宣称本 valid 等于官方评估筛选规则 | +| [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；检查失败属于数据错误，应报告或修复，不能为了掩盖错误把已有标注静默改为“缺标注”。RGB、深度等非标注组件的 valid 仍按各自 schema 表示观测是否存在或是否有有效测量。 +`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 @@ -309,18 +315,19 @@ rational8 对归一化坐标 x=X/Z、y=Y/Z，令 r²=x²+y²，径向项为 `(1+ 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“有没有这项标注”，`visibility` 回答“在当前图像中是否可见（或可见多少）”，两者独立。不可见的手或关键点仍可有标注，必须保留其坐标和 valid=true。源没有提供 visibility 时缺省或标为未知，不由 valid 推断。 +`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，但动捕/源数据仍有该手标注 | 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 | 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 | +| 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 仅表示“可见性标注是否提供”，不复用 MANO 或关键点坐标的 valid_ref。上述例子不要求凭图像自动生成可见性。 +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。 -拟合误差、额外评估有效性、曝光、QA、截断比例及额外聚合质量标记不纳入 shared。原始资料仍留在 raw；取消为这些信息设立的文件及 frame_attributes/quality_attributes 登记要求。官方 split 和组件原有 available/valid 保留。 +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 @@ -328,7 +335,7 @@ MANO schema `mano/axis_angle61/v1`：`motion.pt [T,2,61]`，顺序为完整 16 `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`；百分比须除以 100。通过 MANO 组件的 attributes 登记，未知值使用独立有效性，不复用 motion_valid。 +`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。 diff --git a/RHD/shared-v1.0/doc/RAW_MAPPING.md b/RHD/shared-v1.0/doc/RAW_MAPPING.md index 9bea4c28b37daacb3d0abd41c2bde570fcb37794..af081186eb2c923db4067831ec8121965a5abad9 100644 --- a/RHD/shared-v1.0/doc/RAW_MAPPING.md +++ b/RHD/shared-v1.0/doc/RAW_MAPPING.md @@ -15,3 +15,8 @@ 没有源 MANO、物体、接触或相机外参就缺省，不补造。RHD 21 点只统一其原生体系顺序，不宣称与 MANO 关节位置等价。完整 ZIP 原样保留并随发布上传；运行日志只存 tmp。24 张试点已通过人工核验；全量按每片最多 512 张，训练/评估分开、尾片不补帧。预计 87 个分片；完成后另做全量随机抽查。 正式入口为 `script/convert_rhd.py`、`script/validate_rhd.py` 和 `script/render_full_random_review.py`。三者均无必填命令行参数，并从自身位置定位本数据集的 `raw/`、`shared-v1.0/` 与 `tmp/`；公共实现位于 `script/rhd_common.py`。完整运行方式和依赖见 `script/README.md`。脚本不会删除或改写 raw，也不会自动上传或把自动检查写成人工通过。 + + +## View type + +Every published view has `view_type: exo`. This is the release-level classification selected for RHD's synthetic rendered cameras; the upstream annotations do not contain a per-image `view_type` field. The value therefore records this release's camera-role classification rather than an independently copied upstream label. diff --git a/RHD/shared-v1.0/doc/schema.json b/RHD/shared-v1.0/doc/schema.json index 5671184ee8a06236b10cffb61a8dd86726d4faa5..edb7cf7ce8e8e282d1fbfb5b39ef02a60321d2fb 100644 --- a/RHD/shared-v1.0/doc/schema.json +++ b/RHD/shared-v1.0/doc/schema.json @@ -1,10 +1,32 @@ { - "schema_version": "hand-warehouse/1.0", - "hand_slots": [ - "left", - "right" - ], - "keypoints": { + "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": [ @@ -734,10 +756,22 @@ "method": "stream_copy_from_source_jpeg", "logical_dtype": "uint8", "decoded_pixel_format": "rgb24", - "validation": [ - "source_jpeg_packet_sha256_exact", - "all_decoded_rgb_frames_exact" - ] + "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", diff --git a/RHD/shared-v1.0/script/convert_rhd.py b/RHD/shared-v1.0/script/convert_rhd.py index f8d6486e6de457c57bd8ce545d6b698154fafc0b..b030456fe60dbf9df5074a28795855115e35c585 100644 --- a/RHD/shared-v1.0/script/convert_rhd.py +++ b/RHD/shared-v1.0/script/convert_rhd.py @@ -27,7 +27,7 @@ def main(): if meta.get('num_frames')!=t or not all((complete.parent/path).is_file() for path in required):raise RuntimeError(f'Existing shard is incomplete: {complete.parent}') reports.append({'split':split,'frames':t,'sequence':sequence,'status':'already_complete'});continue v=View('RHD',sequence,'camera',ids,[320,320],{'archive':'raw/data/RHD_v1-1.zip','annotation':member},kind='image',split='train' if split=='training' else 'test') - v.m.update(schema_version='hand-warehouse/1.0',storage_revision='lossless-video-2026-09-18',split_scheme='RHD_official_training_evaluation',split_source_locator={'archive':'raw/data/RHD_v1-1.zip','member_prefix':prefix},sample_type='image') + v.m.update(schema_version='hand-warehouse/1.0',view_type='exo',storage_revision='lossless-video-2026-09-18',split_scheme='RHD_official_training_evaluation',split_source_locator={'archive':'raw/data/RHD_v1-1.zip','member_prefix':prefix},sample_type='image') v.m['sampling'].update(type='independent',selection='all source independent images sorted by source ID',shard_max_images=512) for row,i in zip(v.frames,ids):row.update(sample_id=f'RHD/{split}/{i:05d}');row['source_locator'].update(annotation_index=i,member=f'{prefix}/color/{i:05d}.png') rgb=np.stack([np.asarray(Image.open(io.BytesIO(z.read(f'{prefix}/color/{i:05d}.png'))).convert('RGB')) for i in ids]) diff --git a/RHD/shared-v1.0/script/validate_rhd.py b/RHD/shared-v1.0/script/validate_rhd.py index 9dc37a1da1e259150026889a2fdeba92128e73e9..f0b84ae7f3b9ccba5a45131479c54eb67b92b3c4 100644 --- a/RHD/shared-v1.0/script/validate_rhd.py +++ b/RHD/shared-v1.0/script/validate_rhd.py @@ -1,46 +1,46 @@ -"""Validate the adjacent RHD shared-v1.0 tree and fingerprint its current bytes.""" -import argparse, hashlib, json -import numpy as np -import torch -from rhd_common import RELEASE_ROOT, TMP_ROOT, load, save - -def main(): - argparse.ArgumentParser(description='Validate the adjacent RHD shared-v1.0 release.').parse_args() - registry=load(RELEASE_ROOT/'doc/schema.json');counts={'training':0,'evaluation':0};seen=set();views=0 - for path in sorted((RELEASE_ROOT/'data').glob('*/*/metainfo.json')): - meta=load(path);base=path.parent;total=meta['num_frames'];views+=1 - for key in ['schema_version','split_scheme','split_source_locator','sampling','camera','components']:assert key in meta,(path,key) - assert meta['schema_version']=='hand-warehouse/1.0' and meta['dataset_id']=='RHD' - frames=[json.loads(line) for line in (base/'camera/frames.jsonl').read_text(encoding='utf-8').splitlines()] - assert len(frames)==total - for index,frame in enumerate(frames): - assert frame['frame_index']==index and frame['sample_id'] not in seen - seen.add(frame['sample_id']);split=frame['sample_id'].split('/')[1];counts[split]+=1 - assert frame['source_locator']['annotation_index']==int(frame['source_frame_id']) - for name,component in meta['components'].items(): - spec=registry['components'][component['schema_id']] - for key in ['available','data_ref','valid_ref','axes','valid_axes','provenance','source_locator',*spec.get('required_metadata',[])]:assert key in component,(path,name,key) - assert (base/component['data_ref']).is_file() and (base/component['valid_ref']).is_file() - if component['data_ref'].endswith('.pt'): - value=torch.load(base/component['data_ref'],weights_only=True).numpy();valid=torch.load(base/component['valid_ref'],weights_only=True).numpy() - assert value.dtype==np.float32 and valid.dtype==bool - assert list(value.shape)==[total if axis=='T' else axis for axis in spec['shape']] - assert list(valid.shape)==[total if axis=='T' else axis for axis in spec['valid_shape']] - assert np.isfinite(value[valid]).all() - else: - assert component['storage']['profile'] in spec['allowed_storage_profiles'] - for key in registry['video_metadata']['required']:assert key in component['storage'],(name,key) - for attribute in component.get('attributes',{}).values():assert (base/attribute['data_ref']).is_file() - assert counts=={'training':41258,'evaluation':2728},counts - result={'passed':True,'views':views,'counts':counts,'schema_version':'hand-warehouse/1.0','scope':'current content and layout; does not independently prove official source correctness or visual quality'} - save(TMP_ROOT/'acceptance.json',result);manifest=[] - for path in sorted(RELEASE_ROOT.rglob('*')): - if not path.is_file() or '.cache' in path.parts:continue - digest=hashlib.sha256() - with path.open('rb') as stream: - for block in iter(lambda:stream.read(8<<20),b''):digest.update(block) - manifest.append({'path':path.relative_to(RELEASE_ROOT).as_posix(),'size':path.stat().st_size,'sha256':digest.hexdigest()}) - save(TMP_ROOT/'files.sha256.json',{'scope':result['scope'],'files':manifest,'bytes':sum(x['size'] for x in manifest)}) - print(json.dumps(result,ensure_ascii=False)) - -if __name__=='__main__':main() +"""Validate the adjacent RHD shared-v1.0 tree and fingerprint its current bytes.""" +import argparse, hashlib, json +import numpy as np +import torch +from rhd_common import RELEASE_ROOT, TMP_ROOT, load, save + +def main(): + argparse.ArgumentParser(description='Validate the adjacent RHD shared-v1.0 release.').parse_args() + registry=load(RELEASE_ROOT/'doc/schema.json');counts={'training':0,'evaluation':0};seen=set();views=0 + for path in sorted((RELEASE_ROOT/'data').glob('*/*/metainfo.json')): + meta=load(path);base=path.parent;total=meta['num_frames'];views+=1 + for key in ['schema_version','view_type','split_scheme','split_source_locator','sampling','camera','components']:assert key in meta,(path,key) + assert meta['schema_version']=='hand-warehouse/1.0' and meta['dataset_id']=='RHD' and meta['view_type']=='exo' + frames=[json.loads(line) for line in (base/'camera/frames.jsonl').read_text(encoding='utf-8').splitlines()] + assert len(frames)==total + for index,frame in enumerate(frames): + assert frame['frame_index']==index and frame['sample_id'] not in seen + seen.add(frame['sample_id']);split=frame['sample_id'].split('/')[1];counts[split]+=1 + assert frame['source_locator']['annotation_index']==int(frame['source_frame_id']) + for name,component in meta['components'].items(): + spec=registry['components'][component['schema_id']] + for key in ['available','data_ref','valid_ref','axes','valid_axes','provenance','source_locator',*spec.get('required_metadata',[])]:assert key in component,(path,name,key) + assert (base/component['data_ref']).is_file() and (base/component['valid_ref']).is_file() + if component['data_ref'].endswith('.pt'): + value=torch.load(base/component['data_ref'],weights_only=True).numpy();valid=torch.load(base/component['valid_ref'],weights_only=True).numpy() + assert value.dtype==np.float32 and valid.dtype==bool + assert list(value.shape)==[total if axis=='T' else axis for axis in spec['shape']] + assert list(valid.shape)==[total if axis=='T' else axis for axis in spec['valid_shape']] + assert np.isfinite(value[valid]).all() + else: + assert component['storage']['profile'] in spec['allowed_storage_profiles'] + for key in registry['video_metadata']['required']:assert key in component['storage'],(name,key) + for attribute in component.get('attributes',{}).values():assert (base/attribute['data_ref']).is_file() + assert counts=={'training':41258,'evaluation':2728},counts + result={'passed':True,'views':views,'counts':counts,'schema_version':'hand-warehouse/1.0','scope':'current content and layout; does not independently prove official source correctness or visual quality'} + save(TMP_ROOT/'acceptance.json',result);manifest=[] + for path in sorted(RELEASE_ROOT.rglob('*')): + if not path.is_file() or '.cache' in path.parts:continue + digest=hashlib.sha256() + with path.open('rb') as stream: + for block in iter(lambda:stream.read(8<<20),b''):digest.update(block) + manifest.append({'path':path.relative_to(RELEASE_ROOT).as_posix(),'size':path.stat().st_size,'sha256':digest.hexdigest()}) + save(TMP_ROOT/'files.sha256.json',{'scope':result['scope'],'files':manifest,'bytes':sum(x['size'] for x in manifest)}) + print(json.dumps(result,ensure_ascii=False)) + +if __name__=='__main__':main()