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| # MEV Annotation Toolkit | |
| This directory contains the code used to generate multi-event video annotations. | |
| ## Layout | |
| - `qwen/`: local Qwen3-VL annotation, event segmentation, and camera-motion classification scripts. | |
| - `gemini/`: Gemini API wrappers that reuse the Qwen annotation pipeline schema and post-processing. | |
| - `scripts/multi-event/`: shell launchers for batched multi-GPU annotation runs. | |
| Generated annotations, logs, checkpoints, and datasets are intentionally not included. Keep them under local runtime directories such as `data/`, `annotations/`, `logs/`, and `checkpoints/`. | |
| ## Basic Usage | |
| Run Qwen annotation on segmented videos: | |
| ```bash | |
| bash scripts/multi-event/run_multi_event_annotations.sh data/example_segments annotations/qwen/multi_event/output.json --resume | |
| ``` | |
| Run Gemini annotation: | |
| ```bash | |
| export GEMINI_API_KEY=your_api_key | |
| python gemini/generate_multi_event_annotations.py --input data/example_segments --output annotations/gemini/multi_event/output.json --recursive --resume | |
| ``` | |
| Segment a single video into event intervals: | |
| ```bash | |
| python qwen/segment_events_qwen3vl.py data/video.mp4 --output annotations/segments/video_events.json | |
| ``` | |
| Classify camera motion for a single video: | |
| ```bash | |
| python qwen/classify_camera_motion_qwen3vl.py data/video.mp4 --output annotations/camera/video_camera.json | |
| ``` | |
| ## Notes | |
| - The Qwen scripts expect a local model checkpoint via `--model-path` or `MODEL_PATH`. | |
| - The shell launchers derive all paths from this directory and environment variables. | |
| - `ffmpeg` and `ffprobe` must be available on `PATH`. | |
| - Gemini scripts use `GEMINI_API_KEY` or `GOOGLE_API_KEY`. | |