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ReFrame-Handheld v0.1: 1,651 demonstrations in verified archive shards

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  1. .gitattributes +2 -0
  2. README.md +72 -0
  3. README_zh.md +60 -0
  4. calibration/rig_1203_0810_0812_v1/extrinsics/left_fisheye_to_main_rgb.json +30 -0
  5. calibration/rig_1203_0810_0812_v1/extrinsics/left_fisheye_to_right_fisheye.json +30 -0
  6. calibration/rig_1203_0810_0812_v1/extrinsics/right_fisheye_to_main_rgb.json +30 -0
  7. calibration/rig_1203_0810_0812_v1/extrinsics/usb_reference_to_main_rgb.json +30 -0
  8. calibration/rig_1203_0810_0812_v1/intrinsics/left_fisheye.json +51 -0
  9. calibration/rig_1203_0810_0812_v1/intrinsics/main_rgb.json +51 -0
  10. calibration/rig_1203_0810_0812_v1/intrinsics/right_fisheye.json +51 -0
  11. calibration/rig_1203_0810_0812_v1/intrinsics/usb_reference.json +45 -0
  12. calibration/rig_1203_0810_0812_v1/manifest.json +25 -0
  13. calibration/rig_1403_0722_0724_v1/extrinsics/left_fisheye_to_right_fisheye.json +30 -0
  14. calibration/rig_1403_0722_0724_v1/extrinsics/usb_reference_to_main_rgb.json +30 -0
  15. calibration/rig_1403_0722_0724_v1/intrinsics/left_fisheye.json +51 -0
  16. calibration/rig_1403_0722_0724_v1/intrinsics/main_rgb.json +51 -0
  17. calibration/rig_1403_0722_0724_v1/intrinsics/right_fisheye.json +51 -0
  18. calibration/rig_1403_0722_0724_v1/intrinsics/usb_reference.json +45 -0
  19. calibration/rig_1403_0722_0724_v1/manifest.json +29 -0
  20. calibration/rig_2650_0730_0804_v1/extrinsics/left_fisheye_to_main_rgb.json +30 -0
  21. calibration/rig_2650_0730_0804_v1/extrinsics/left_fisheye_to_right_fisheye.json +30 -0
  22. calibration/rig_2650_0730_0804_v1/extrinsics/right_fisheye_to_main_rgb.json +30 -0
  23. calibration/rig_2650_0730_0804_v1/extrinsics/usb_reference_to_main_rgb.json +30 -0
  24. calibration/rig_2650_0730_0804_v1/intrinsics/left_fisheye.json +51 -0
  25. calibration/rig_2650_0730_0804_v1/intrinsics/main_rgb.json +51 -0
  26. calibration/rig_2650_0730_0804_v1/intrinsics/right_fisheye.json +51 -0
  27. calibration/rig_2650_0730_0804_v1/intrinsics/usb_reference.json +45 -0
  28. calibration/rig_2650_0730_0804_v1/manifest.json +25 -0
  29. calibration/usb_intrinsic_refits_20261029/README.md +23 -0
  30. calibration/usb_intrinsic_refits_20261029/SHA256SUMS +19 -0
  31. calibration/usb_intrinsic_refits_20261029/alice/intrinsics_brown5_candidate.json +103 -0
  32. calibration/usb_intrinsic_refits_20261029/alice/intrinsics_fisheye4_candidate.json +101 -0
  33. calibration/usb_intrinsic_refits_20261029/alice/model_comparison.json +321 -0
  34. calibration/usb_intrinsic_refits_20261029/alice/per_image_diagnostics.json +1409 -0
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  37. calibration/usb_intrinsic_refits_20261029/alice/split.json +106 -0
  38. calibration/usb_intrinsic_refits_20261029/david/intrinsics_brown5_candidate.json +103 -0
  39. calibration/usb_intrinsic_refits_20261029/david/intrinsics_fisheye4_candidate.json +101 -0
  40. calibration/usb_intrinsic_refits_20261029/david/model_comparison.json +321 -0
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  42. calibration/usb_intrinsic_refits_20261029/david/projection_checks.json +17 -0
  43. calibration/usb_intrinsic_refits_20261029/david/source_image_manifest.json +1002 -0
  44. calibration/usb_intrinsic_refits_20261029/david/split.json +205 -0
  45. calibration/usb_intrinsic_refits_20261029/david_legacy_exclusions/model_comparison.json +321 -0
  46. calibration/usb_intrinsic_refits_20261029/david_legacy_exclusions/selection.json +15 -0
  47. calibration/usb_intrinsic_refits_20261029/david_legacy_exclusions/split.json +199 -0
  48. calibration/usb_intrinsic_refits_20261029/summary.json +53 -0
  49. checksums/EPISODE_FILES_SHA256SUMS +0 -0
  50. checksums/SHA256SUMS +120 -0
.gitattributes ADDED
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+ data/** filter=lfs diff=lfs merge=lfs -text
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+ downloads/*.zip filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ pretty_name: ReFrame Handheld Demonstration Dataset
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+ language:
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+ - en
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+ - zh
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+ tags:
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+ - robotics
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+ - imitation-learning
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+ - video
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+ - timeseries
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+ - multi-view
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+ ---
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+ # ReFrame Handheld Demonstration Dataset
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+
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+ ReFrame-Handheld provides real handheld operation recordings for studying how demonstrations can be reused across camera configurations. It contains **1,651 independent recordings across four manipulation tasks**, with camera images, per-frame timestamps, raw SLAM poses, gripper readings and camera calibration.
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+
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+ The data supports inspecting viewpoint changes, testing geometric reprojection and comparing transformed images with available real reference-camera observations. Videos and structured numerical files can be read without a ROS environment.
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+
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+ **1,651 recordings · 4 tasks · approximately 303 recorded minutes · 67 GB of episode data**
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+
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+ ## Observations
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+
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+ - **1,451 recordings** contain main RGB, left and right grayscale cameras, and a real USB reference-camera stream.
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+ - **200 recordings** contain main RGB without auxiliary images.
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+ - All recordings retain SLAM pose and gripper samples. Each episode references its applicable calibration profile.
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+
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+ The recordings use the same brand and model of capture device with **three camera-extrinsic configurations**. The [dataset overview](docs/DATASET_OVERVIEW.md) describes the observation types, statistics and counting rules.
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+
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+ ## Tasks
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+
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+ | Task | Independent recordings | Approximate episode download size |
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+ | --- | ---: | ---: |
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+ | Carrot picking and placing | 696 | 34.49 GB |
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+ | Button pressing | 500 | 19.69 GB |
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+ | Drawer opening | 255 | 9.01 GB |
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+ | Cup hanging | 200 | 4.05 GB |
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+ | **Total** | **1,651** | **67.25 GB** |
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+
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+ Sizes refer to episode files, excluding the optional starter ZIP and shared documentation. Recorded duration includes recording margins and is counted once per operation, not once per camera.
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+
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+ ## Download and try
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+
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+ **[Start with 17 complete examples](downloads/reframe_handheld_starter_17.zip)** — approximately 788 MB, covering all retained acquisition batches and all four tasks. The ZIP includes calibration, reading tools and instructions, and works independently after extraction.
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+
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+ All episode data is distributed as TAR shards, grouped by task and acquisition batch. Each shard contains complete episodes with their original files and paths. The [download tool](docs/QUICKSTART.md) downloads the required shards, verifies SHA256 and extracts the selected episodes with their calibration. Selecting one episode downloads its containing shard; see [the archive index](metadata/shards.jsonl) for exact sizes.
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+
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+ Open an MP4 directly to inspect a recording. For Python access to images, timestamps, poses, gripper readings and calibration, follow the [quickstart](docs/QUICKSTART.md).
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+
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+ ## Documentation
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+
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+ - [Dataset overview and statistics](docs/DATASET_OVERVIEW.md)
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+ - [File format and reading interfaces](docs/FORMAT.md)
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+ - [Timestamp semantics and optional frame matching](docs/TIME_ALIGNMENT.md)
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+ - [Camera calibration](docs/CALIBRATION.md)
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+ - [Selection, task-outcome labels and known limitations](docs/QUALITY.md)
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+
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+ The dataset preserves original operation sequences and quality annotations. See the linked documentation for timestamp interpretation, outcome labels and calibration applicability.
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+
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+ ## License and citation
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+
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+ [TO FILL: confirmed dataset license]
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+
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+ [TO FILL: authors and paper citation]
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+
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+ [TO FILL: paper, code repository and contact]
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+
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+ This dataset accompanies ReFrame: Reusing Handheld Demonstrations Across Wrist-Camera Configurations. Licensing and paper citation details are pending owner confirmation.
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+
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+
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+ ## Additional calibration candidates
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+
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+ Brown5 and fisheye4 intrinsic refits are available for the Alice and David USB cameras. They are optional candidates; episode references continue to use the historical calibration profiles. See [the 2026-10-29 calibration update](docs/USB_INTRINSIC_REFITS_20261029.md).
README_zh.md ADDED
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+ # ReFrame-Handheld 手持操作数据集
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+
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+ ReFrame-Handheld面向手持示教的视角转换研究,提供**1651条独立操作记录,覆盖四类任务**。数据包含真实相机图像、逐帧时间戳、原始SLAM位姿、夹爪读数及配套内外参。
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+
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+ 研究者可以利用这些观测分析视角变化、测试几何重投影,并在有真实参考相机的记录上比较转换结果。独立视频和结构化数值文件无需ROS环境即可读取。
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+
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+ **1651条记录 · 4类任务 · 约303分钟 · episode数据约67GB**
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+
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+ ## 观测组成
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+
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+ - **1451条记录**包含主摄彩色图像、左右灰度相机和真实USB参考相机观测。
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+ - **200条记录**仅包含主摄图像,没有辅助相机视频。
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+ - 所有记录均保留位姿和夹爪采样,并引用对应的相机标定配置。
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+
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+ 数据使用同品牌同型号的采集设备,包含**三组相机外参配置**。观测类型、统计口径和规模详见[数据概况](docs/DATASET_OVERVIEW.md)。
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+
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+ ## 任务与规模
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+
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+ | 任务 | 独立记录 | episode下载体积约 |
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+ | --- | ---: | ---: |
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+ | 抓萝卜与放置 | 696 | 34.49GB |
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+ | 按按钮 | 500 | 19.69GB |
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+ | 开抽屉 | 255 | 9.01GB |
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+ | 挂杯 | 200 | 4.05GB |
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+ | **合计** | **1651** | **67.25GB** |
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+
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+ 体积不包含额外的体验ZIP和公共说明。记录时长包含采集前后停顿,按独立操作累计,不按相机数量重复计算。
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+
29
+ ## 下载与体验
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+
31
+ **[先下载17条完整样例](downloads/reframe_handheld_starter_17.zip)**:约788MB,覆盖所有保留批次和四类任务,包含标定、读取工具及说明,解压后可独立使用。
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+
33
+ 正式episode数据统一存放于TAR分片包,按任务和采集批次分组,每条episode保持完整。[下载工具](docs/QUICKSTART.md)支持选择单条、任务或全量,校验分片SHA256后解出所选episode并获取配套标定。选择单条时仍需下载其所在分片;每包大小见[分片索引](metadata/shards.jsonl)。解包后保留原来的任务、批次和episode目录。
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+
35
+ 直接打开MP4即可查看操作过程;需要用Python读取图像、时间戳、位姿、夹爪或标定时,参见[快速开始](docs/QUICKSTART.md)。
36
+
37
+ ## 详细说明
38
+
39
+ - [数据概况与统计](docs/DATASET_OVERVIEW.md)
40
+ - [文件格式与读取接口](docs/FORMAT.md)
41
+ - [时间戳与可选配帧](docs/TIME_ALIGNMENT.md)
42
+ - [内外参](docs/CALIBRATION.md)
43
+ - [筛选规则、任务结果标记和已知限制](docs/QUALITY.md)
44
+
45
+ 数据保留原始操作过程和质量标记;时间戳来源、任务结果标注及标定适用范围见详细说明。
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+
47
+ ## 许可与引用
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+
49
+ 【待填:数据许可证】
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+
51
+ 【待填:作者与论文引用信息】
52
+
53
+ 【待填:论文、代码仓库与联系方式】
54
+
55
+ 本数据集配套论文 ReFrame: Reusing Handheld Demonstrations Across Wrist-Camera Configurations。许可证与论文引用信息待补充。
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+
57
+
58
+ ## 新增相机标定候选
59
+
60
+ Alice和David的USB相机现提供Brown5与fisheye4两种重新拟合的内参候选。episode仍引用原有历史标定配置。参数、对比与适用限制见[2026年10月29日标定更新](docs/USB_INTRINSIC_REFITS_20261029.md)。
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+ {
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+ "calibration_id": "rig_2650_0730_0804_v1",
3
+ "rig_id": "2650",
4
+ "intrinsics": {
5
+ "main_rgb": "intrinsics/main_rgb.json",
6
+ "left_fisheye": "intrinsics/left_fisheye.json",
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+ "right_fisheye": "intrinsics/right_fisheye.json",
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+ "usb_reference": "intrinsics/usb_reference.json"
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+ },
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+ "extrinsics": {
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+ "usb_reference_to_main_rgb": "extrinsics/usb_reference_to_main_rgb.json",
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+ "left_fisheye_to_main_rgb": "extrinsics/left_fisheye_to_main_rgb.json",
13
+ "right_fisheye_to_main_rgb": "extrinsics/right_fisheye_to_main_rgb.json",
14
+ "left_fisheye_to_right_fisheye": "extrinsics/left_fisheye_to_right_fisheye.json"
15
+ },
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+ "quality_notes": [],
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+ "missing_extrinsics": [],
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+ "coordinate_axes": "OpenCV camera axes: X right, Y down, Z forward; column vectors",
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+ "units": {
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+ "translation": "m",
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+ "focal_length_and_principal_point": "pixel"
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+ },
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+ "tracked_body_to_main_optical": null,
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+ "tracked_body_to_main_optical_status": "not_verified_in_release_registry"
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calibration/usb_intrinsic_refits_20261029/README.md ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # USB intrinsic model refits, 2026-10-29
2
+
3
+ This add-on publishes independent Brown5 and OpenCV fisheye4 intrinsic candidates for Alice and David while retaining each episode's existing historical Brown calibration as its default. These refits are diagnostic alternatives; they do not change episode calibration references or claim that existing camera-to-camera extrinsics were jointly refitted with the new intrinsics.
4
+
5
+ The camera is an ICSpring 1920×1080 USB reference camera. Alice uses 100 ChArUco views collected 2026-07-30; all 100 had at least 12 detected corners. David uses 200 views collected 2026-08-10; 199 passed the same corner threshold and one was not detected. David source images were transferred from `/home/ubuntu/captures_david` on the collection host to the calibration workspace; all 200 file sizes and SHA256 values matched.
6
+
7
+ The board is 12×9 squares, 15 mm squares and 11.25 mm markers with DICT_5X5_250. Brown coefficients are `[k1,k2,p1,p2,k3]`. Fisheye coefficients are `[k1,k2,k3,k4]` and use `cv2.fisheye`. Fits use the same views for both models. The ordered images are split by index: every fifth valid view is held out; other views fit the model. Held-out scoring fixes intrinsics and estimates each board pose independently. Full-fit K/D use all valid views. See each `model_comparison.json`, split and source image hash manifest for details.
8
+
9
+ ## Results
10
+
11
+ Held-out median and P90 are over per-image corner RMSE, in pixels.
12
+
13
+ | Camera / view set | Held-out views | Full-fit RMS Brown / fisheye | Held-out median Brown / fisheye | Held-out P90 Brown / fisheye |
14
+ | --- | ---: | ---: | ---: | ---: |
15
+ | Alice, all valid views | 20 | 0.6541 / 0.6275 | 0.4047 / 0.3910 | 0.7097 / 0.6674 |
16
+ | David, all valid views | 40 | 1.1291 / 1.1286 | 0.4943 / 0.4959 | 2.7401 / 2.7880 |
17
+ | David, historical exclusions sensitivity set | 39 | 0.9145 / 0.9130 | 0.4293 / 0.4395 | 1.1429 / 1.1820 |
18
+
19
+ Alice's fisheye fit is slightly better on the held-out set. David's two fits are effectively tied; the held-out scores do not establish fisheye as more accurate for David. The historical exclusion sensitivity result uses the prior file's seven numeric outlier IDs mapped to the matching `charuco_NNNN.png` suffixes; `charuco_0075.png` already failed detection, leaving 193 valid views. The same set is used for both models.
20
+
21
+ Both new fisheye models pass a 41×25 full-image pixel round-trip check, with positive radial derivative over sampled rays. Brown refits show large inverse-round-trip errors at some extreme corners under OpenCV's iterative undistortion. This is an edge-domain numerical/inversion warning, not the held-out calibration residual and not a physical ground-truth claim. Fisheye is a useful candidate for edge geometry; broader validation and joint extrinsic refitting are still needed before changing episode defaults.
22
+
23
+ All files in this add-on are versioned candidates. Historical files under the three `calibration/rig_*` directories remain unchanged. No raw calibration photos are included; their filenames, byte sizes and SHA256 hashes are recorded for provenance.
calibration/usb_intrinsic_refits_20261029/SHA256SUMS ADDED
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+ 3e948ebafd32a9d0dad5c570c507e0f47dd3086d5d0bc07351872bc85e99ff8e README.md
2
+ c1d2d6345a38a9ce9ab7223eeae52761f1643e1a871cf046f7ab114f00934dc6 alice/intrinsics_brown5_candidate.json
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+ c36d370eb856e9cb875217114e1093d81990ffacecf38d29a39fccad25dca36c alice/intrinsics_fisheye4_candidate.json
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+ f7f86b3440a03f279a3d8c3f7354ae8cd424efb7adc529b567321c1ff265c48e alice/model_comparison.json
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+ a118d1ff76bc9a0e8e0cbc3cbab98974bebf0a15199498706eb79b5c7f5e5554 alice/per_image_diagnostics.json
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+ 96c110f996a7d1d73bfb909e06b9e589ea11ff99bd1c65f99f640a1d5c638e64 alice/projection_checks.json
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+ 3b06b543aab90f35be6221afbcbba3976f6e3ffc2bdd01d711492baa4dcac152 alice/source_image_manifest.json
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+ 43dced4e5b7895f724b224d3391bc1afa9d50ddc9d4120c63def11b294510440 alice/split.json
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+ 69749562fc5e113bacc3bcaee62444f296a604252c61be70624945ffde6e2318 david/intrinsics_brown5_candidate.json
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+ a8ee97f3d05315f6e0e001f2359d7b79fe945d0ab1f872bc2bd520d753d3f643 david/intrinsics_fisheye4_candidate.json
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+ 38e456c479d5fffc1ad8e8958aa0a8e9ee1d0d139050bf7bce6372c1e1155a97 david/model_comparison.json
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14
+ b14a2d31e0056c67d927772d1c2af5c8d19e41bc2a86ff65746567d6d9807e09 david/source_image_manifest.json
15
+ 93ecf89323dc64aa2e22b08d0daa87b90384be5e34bd78f5f85badce2d45c8ae david/split.json
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+ a9b25e40c9327b8f8761c0061f8357003453519159258b7e6d8d557438cac56d david_legacy_exclusions/model_comparison.json
17
+ a29e66ef5f738911bd2799a89948dbeb4c282a39f12c9f2c220370f550acd3a0 david_legacy_exclusions/selection.json
18
+ ebc1010d1515dffec0684e67a53143d9c06fa4b20185d9ac5813f09e40d2b4e7 david_legacy_exclusions/split.json
19
+ 64e45517a6e7ccc430958221a817a7f1f927331bd539de165c3c70b3cb777159 summary.json
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+ {
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+ "camera": "USB_Alice_ICSpring",
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+ "intrinsics_only": true,
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+ 0ae188b1bfbd413e4b3ae56c09ed88c3ebe6a828ef46b7e5e088ff97ed54c847 tools/download_dataset.py
119
+ cf801154063b516256e3a185fde28188f065c951054490c526b6af4864695c81 tools/read_episode.py
120
+ 7019cb9db144280bdf704d99425f1a6c2097f88c95905c202d70b913785ee004 tools/requirements_reader.txt