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multimodalart HF Staff
prep stage
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"""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.
"""