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Download sensorflow/cli/auto_label.py from whassan/SensorflowStudio: direct link, hf CLI and curl.
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https://huggingface.co/spaces/whassan/SensorflowStudio/resolve/main/sensorflow/cli/auto_label.py
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hf download hf://spaces/whassan/SensorflowStudio/sensorflow/cli/auto_label.py
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curl -L -o auto_label.py https://huggingface.co/spaces/whassan/SensorflowStudio/resolve/main/sensorflow/cli/auto_label.py
1.08 kB
| #!/usr/bin/env python3 | |
| """Run SAM-based 3D auto-labeling on a fused sequence.""" | |
| import argparse | |
| from pathlib import Path | |
| from sensorflow.perception_automator import PerceptionAutomator | |
| from sensorflow.schemas.unified_frame import UnifiedSequence | |
| def main(): | |
| parser = argparse.ArgumentParser(description="3D auto-labeling with SAM") | |
| parser.add_argument("--manifest", required=True) | |
| parser.add_argument("--sam-checkpoint", default="models/sam_vit_b.pth") | |
| parser.add_argument("--device", default="cpu") | |
| parser.add_argument("--no-sam", action="store_true") | |
| args = parser.parse_args() | |
| manifest_path = Path(args.manifest) | |
| sequence = UnifiedSequence.load(manifest_path) | |
| output_dir = manifest_path.parent / "proposals" | |
| automator = PerceptionAutomator( | |
| sam_checkpoint=args.sam_checkpoint, | |
| device=args.device, | |
| use_sam=not args.no_sam, | |
| ) | |
| proposals = automator.run_sequence(sequence, output_dir) | |
| print(f"Generated proposals for {len(proposals)} frames -> {output_dir}") | |
| if __name__ == "__main__": | |
| main() | |