Buckets:
| """Run the pipeline on 3000 skatingverse samples and report timing.""" | |
| import sys | |
| import time | |
| sys.path.insert(0, "/workspace") | |
| import pipeline | |
| config = dict(pipeline.CONFIG) | |
| config["datasets"] = dict(pipeline.CONFIG["datasets"]) | |
| config["output_dir"] = config["output_dir"] | |
| config["skeleton_cache_dir"] = config["output_dir"] / "skeleton_cache" | |
| config["pose_estimator"] = pipeline.POSE_ESTIMATOR | |
| config["yolo_weights"] = pipeline.YOLO_WEIGHTS | |
| config["yolo_imgsz"] = 256 | |
| config["max_videos"] = 3000 | |
| start = time.perf_counter() | |
| ok = pipeline.run_pipeline(config, sources=["skatingverse"]) | |
| elapsed = time.perf_counter() - start | |
| print(f"\n{'=' * 60}") | |
| print(f"DONE — success={ok}, wall time: {elapsed:.1f}s ({elapsed/60:.1f} min)") | |
Xet Storage Details
- Size:
- 733 Bytes
- Xet hash:
- 033f5ba4445837c01cf6f2a1c43354122caa7e52295e963151cddfdc250897da
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