Add audit_stills.py QC tool: measure how many stills in a collection have no detected face

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2026-10-18 09:09:03 -04:00
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@@ -76,6 +76,17 @@ context leaks onto the wrong card:
AGPL-3.0 too. Fine for personal/research dataset building; if this
ever ships in a product, revisit.
## QC: auditing an existing collection
`audit_stills.py` runs the same detector over a directory of stills and
reports how many contain no face at all — e.g. measuring the damage the
old person-proxy pipeline did:
```bash
python audit_stills.py -I ~/Documents/image-training-datasets/gabriel-dropout \
--gpu 1 --write-report old_run_report.csv
```
## Verification
Run `--preview-dir` and eyeball the `_ann.png` files: every saved frame