Tracking studio: Process & Export + GCS upload - #81
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Replace the playback-end CSV download with a dedicated "Bulk Convert" button that processes the full video and writes results in the format matching the full_pipeline notebook: detect_csv (JSON predictions per frame) for detection-only, tracked_bboxes.csv (one row per tracked detection) for tracking. Add an "Upload" button on the results card (visible only for GCS-sourced videos) that uploads the CSV next to the original video, with overwrite confirmation when the destination already exists. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Bulk implied batch-over-many; this button operates on a single video. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
ultralytics 8.4.50 removed the frame_rate parameter from BYTETracker; omitting it preserves prior behavior (30 was the previous default). Also apply ruff format on app.py. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
sjohnsonyu
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Jun 22, 2026
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LGTM, from my limited knowledge of this the dashboard and what I could test. (loading video, model, start tracking button, process & export). I did not test upload button.
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Summary
full_pipeline.ipynb:detect_csv(one row per frame with JSON predictions) for detection-only,tracked_bboxes.csv(one row per tracked detection) for tracking.Test plan
<video>_bboxes.csvis downloaded withtrack_id,frame,x1,y1,x2,y2,confidence,classcolumns.<video>_detections.csvis downloaded withcount_objects,output_image,predictionscolumns (predictions is a JSON blob compatible withoutput_tracked_bboxes_csv).gs://<bucket>/<folder>/<video_stem>_bboxes.csv(or_detections.csv).🤖 Generated with Claude Code