Add audit_stills.py QC tool: measure how many stills in a collection have no detected face
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@@ -76,6 +76,17 @@ context leaks onto the wrong card:
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AGPL-3.0 too. Fine for personal/research dataset building; if this
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ever ships in a product, revisit.
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## QC: auditing an existing collection
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`audit_stills.py` runs the same detector over a directory of stills and
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reports how many contain no face at all — e.g. measuring the damage the
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old person-proxy pipeline did:
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```bash
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python audit_stills.py -I ~/Documents/image-training-datasets/gabriel-dropout \
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--gpu 1 --write-report old_run_report.csv
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```
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## Verification
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Run `--preview-dir` and eyeball the `_ann.png` files: every saved frame
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