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Running on Zero
Download rtcwm/data/qc/__init__.py from hugging-apps/streaming-code-world-model: direct link, hf CLI and curl.
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https://huggingface.co/spaces/hugging-apps/streaming-code-world-model/resolve/main/rtcwm/data/qc/__init__.py
- Command line
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hf download hf://spaces/hugging-apps/streaming-code-world-model/rtcwm/data/qc/__init__.py
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curl -L -o __init__.py https://huggingface.co/spaces/hugging-apps/streaming-code-world-model/resolve/main/rtcwm/data/qc/__init__.py
614 Bytes
| """Dataset QC from saved outputs (no re-rendering). | |
| python -m rtcwm.data.qc clipping CLIP_DIR ... interpenetration (also run by the renderer) | |
| python -m rtcwm.data.qc audit CLIP_DIR ... camera, motion, exposure, coarse-vs-fine audit | |
| python -m rtcwm.data.qc coarse CLIP_DIR ... coarse proxy swallowing the frame / losing the protagonist | |
| python -m rtcwm.data.qc lists data_lists/bad_windows.json from the reports | |
| Reports go to paths.QC/<check>/<clip>.json; every report has per-window verdicts (window w = frames | |
| 90w .. 90w+123) so training can drop single windows. | |
| """ | |