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Add Ego4D AV assisted annotation review workflow

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Xin Wang
2026-09-15 13:23:59 +08:00
parent 74b502f770
commit 86aa124a46
9 changed files with 953 additions and 19 deletions
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PROJECT_CONTEXT.md
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@@ -308,7 +308,9 @@ Do not reorganize them physically without compatibility wrappers.
| `audit_easycom_floor_events.py` | Count EOT/takeover/backchannel candidates |
| `prepare_easycom_eot_int_review.py` | Retain every raw wearer onset and offset as an unresolved semantic candidate; attach nearby participant boundaries, activity relations, transcripts, and target-of-speech facts without entry/takeover gating; also scan independent hard-negative regions; semantic labels remain AI/human review outputs |
| `adjudicate_easycom_eot_int_candidates.py` | Add optional DeepSeek transcript/timing suggestions; never human ground truth |
| `review_floor_events.py` | Serve the local video/transcript workspace and persist human event reviews |
| `prepare_ego4d_av_eot_int_review.py` | Build the equivalent unresolved wearer onset/offset and hard-negative review queue from official Ego4D AV voice, transcription and annotation-only `is_at_me` fields without changing source boundaries |
| `adjudicate_ego4d_av_eot_int_candidates.py` | Apply the checkpointed strict LLM pre-label client with an Ego4D AV-specific evidence policy; every suggestion still requires human review |
| `review_floor_events.py` / `review_ego4d_av_events.py` | Serve the local EasyCom or Ego4D AV video/transcript workspace and atomically persist human event reviews |
| `prepare_easycom_oracle_features.py` | Build explicit past-only oracle person-activity sidecars and analysis-only addressee controls |
### Local features