HccePose — Hugging Face dataset note

Dataset card: publish this file as README.md at the root of the SEU-WYL/HccePose dataset repository (this is separate from the long GitHub project README).

This file is a short index for the dataset SEU-WYL/HccePose.
Full tutorials, training, and BOP workflows are on GitHub: HCCEPose.

Download script (GitHub only — not in this dataset repo)

The helper that pulls files from Hugging Face into a local HCCEPose clone lives in the code repository, not in the dataset file tree:

• Script: scripts/download_hf_assets.py
• Folder: scripts/

Clone HCCEPose, cd to the repo root, install huggingface_hub, then run the commands below. That matches how the maintainers document Quick Start and RGB-D examples.

Local paths after download (same as a prepared dev tree)

By default the script writes under the HCCEPose repository root (--dest defaults to the parent of scripts/).
Dataset paths on disk mirror the Hugging Face layout without an extra SEU-WYL/HccePose prefix, for example:

After --preset …	You get (under repo root)	Used by
test	test_imgs/, test_videos/, test_imgs_RGBD/	s4_p3_test_mi10_bin_picking.py, RGB-D scripts (capture_dir / test_img_path next to repo root)
dataset	demo-bin-picking/ (models, yolo11, HccePose, …)	bop_dataset(..., 'demo-bin-picking')
tex	demo-tex-objs/	textured / video-style demos
weights	`demo-bin-picking/models	yolo11

So a machine that ran the right presets should look the same as one where you manually copied those folders from the dataset browser — paths align with the example scripts (os.path.join(current_dir, 'test_imgs'), demo-bin-picking, test_imgs_RGBD, etc.) when you run tests from the repo root as in the README.

Layout (Quick Start & tests)

Path	Purpose
demo-bin-picking/	BOP-style demo scene: models/, yolo11/, HccePose/ weights, etc.
demo-tex-objs/	Alternate textured demo (models / YOLO / HccePose) for video-style examples.
test_imgs/	RGB images for single-image Quick Start.
test_videos/	Clips for video examples.
test_imgs_RGBD/	RGB-D sample frames: {stem}_rgb.png, {stem}_depth.png, {stem}_camK.json (e.g. 000000–000003).

RGB-D conventions

• camK.json: includes at least fx, fy, cx, cy (see Refinement/refinement_test_utils.load_capture_frame on GitHub).
• Depth: raw uint16 PNG; scaling to meters follows convert_depth_to_meter in the same module (median-based scale inference).

Bulk download (official vs China mirror)

From the GitHub repo root (after git clone):

python scripts/download_hf_assets.py --preset test --endpoint auto
python scripts/download_hf_assets.py --preset dataset --endpoint auto
python scripts/download_hf_assets.py --preset all --endpoint auto

--endpoint auto tries huggingface.co first, then falls back to https://hf-mirror.com.
Run python scripts/download_hf_assets.py --help for presets (test, dataset, tex, weights, all) and optional FoundationPose mirror (--foundationpose).

License

Dataset card on Hugging Face lists the dataset license; third-party weights (e.g. FoundationPose) remain under their respective licenses.

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Short Chinese index: README_CN.md.