Datasetpublic

SEU-WYL/HccePose

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… See the full description on the dataset page: https://huggingface.co/datasets/SEU-WYL/HccePose.

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Dataset Card

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	HccePose/` only	lighter pull if you already have the rest of `demo-bin-picking/`

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):

bash

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.

Short Chinese index: [README_CN.md](README_CN.md).