Video segmentation example cvat#415
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… CVAT example New example: drop a long first-person video into a folder; the pipeline samples frames (ffmpeg fps=1 -> perceptual-hash dedup), runs SAM3 open-vocabulary text-prompt segmentation (person), and uploads box+polygon pre-annotations to CVAT for review. Reuses the SAM3->CVAT tail from sam_cvat verbatim; the new part is the video ingest + frame sampling front stage.
…out system ffmpeg)
…: one task per video split into jobs of N frames Adds a backward-compatible segment_size param to CVATStep, passed to the CVAT TaskWriteRequest so a task is split into jobs of N frames. robots_ego_cvat scopes the CVAT batch by video_id (one task per video), sets SEGMENT_SIZE (jobs) and a large FILES_BATCH, and defaults SAMPLE_FPS to 0.2 (1 frame/5s).
…AM3 segmentation -> CVAT)
…ont renders the pipeline graph, table browser and per-stage run triggers
…setup skill - infer_image: downscale frames to SAM_MAX_INFER_SIDE (default 640) before SAM3 and map detections back to full-res coords (CVAT still gets the full-res frame); on OOM retry at 512/384 and skip the frame as a last resort so one frame never kills the run; empty_cache between frames - config: set PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True before importing torch so it applies to both CLI and UI-triggered runs; add SAM_MAX_INFER_SIDE knob - models: take HF_TOKEN from the env instead of persisting it to disk (works on read-only home dirs) - README: GPU-memory/OOM section, HF_HOME note, and a datapipe-api-vs-CLI run-log collision warning; ffmpeg now optional (imageio-ffmpeg fallback) - add setup-video-segmentation-cvat skill - commit the .env.example template (was gitignored, unlike sibling examples)
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