| # OCR |
|
|
| The primary artifact is `ocr.jsonl` |
|
|
| ## `ocr.jsonl` |
|
|
| Each line is one `OCRFragment`, a visible text region in one keyframe. |
|
|
| Common fields: |
|
|
| - `fragment_id`: stable OCR observation identifier |
| - `video_id`: source video identifier |
| - `time_span`: `[timestamp_ms, timestamp_ms]` in source video time |
| - `text`: recognized visible text |
| - `bbox`: normalized text region with `x_min`, `y_min`, `x_max`, and `y_max` |
|
|
| There is no placeholder for frames without text and no fabricated confidence score. Join OCR with captions or detections on `video_id` and timestamp; compare normalized bounding boxes when spatial context is needed. |
|
|
| ## Generation flow |
|
|
| HunyuanOCR reads the canonical keyframe images, emits visible text regions, and the job validates each result as an `OCRFragment`. It publishes one flat JSONL file and removes provider work files and the retired bundled OCR representation after a successful run. |
|
|
| Run OCR for the GEBD and MaxInfo keyframe set: |
|
|
| ```bash |
| make data-ocr INPUT=/data/aic/shared/artifacts/keyframesv2/keyframes.jsonl OUTPUT=/data/aic/shared/artifacts/ocrv2 SUBSET=700vid |
| ``` |
|
|
