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Running on Zero
Running on Zero
| """ | |
| Annotate a single .npy skeleton file using an LLM. | |
| The .npy file should have shape (T, 2, 21, 3): | |
| T: number of frames | |
| 2: two hands (left=0, right=1) | |
| 21: joints per hand | |
| 3: xyz coordinates | |
| The same as our unified data format. | |
| Usage: | |
| python src/annotate_single.py --npy path/to/motion.npy --output annotation.json | |
| python src/annotate_single.py --npy path/to/motion.npy --output annotation.json --frame_start 0 --frame_end 60 | |
| python src/annotate_single.py --npy path/to/motion.npy --output annotation.json --model gemini-2.5-pro | |
| """ | |
| import sys | |
| sys.path.append("./diffusion") | |
| import argparse | |
| import json | |
| import numpy as np | |
| from pathlib import Path | |
| from src.generate_anno import generate_annotation | |
| from src.feature.single_motioncode import InvalidJointDataError | |
| with open("diffusion/src/llm/prompt.txt", "r") as f: | |
| prompt_template = f.read() | |
| def main(): | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--npy", required=True, help="Path to input .npy file (T, 2, 21, 3)") | |
| parser.add_argument("--output", required=True, help="Path to output .json file") | |
| parser.add_argument("--frame_start", type=int, default=None, help="Start frame (default: 0)") | |
| parser.add_argument("--frame_end", type=int, default=None, help="End frame (default: last frame)") | |
| parser.add_argument("--model", type=str, default="gemini-2.5-pro", help="LLM model to use") | |
| args = parser.parse_args() | |
| npy_path = Path(args.npy) | |
| if not npy_path.exists(): | |
| print(f"ERROR: File not found: {npy_path}") | |
| sys.exit(1) | |
| motion = np.load(npy_path) # (T, 2, 21, 3) | |
| print(f"Loaded {npy_path}, shape={list(motion.shape)}") | |
| frame_start = args.frame_start if args.frame_start is not None else 0 | |
| frame_end = args.frame_end if args.frame_end is not None else motion.shape[0] | |
| motion_clip = motion[frame_start:frame_end] | |
| print(f"Using frames [{frame_start}:{frame_end}] → clip shape={list(motion_clip.shape)}") | |
| try: | |
| annotation = generate_annotation( | |
| skeleton_motion=motion_clip, | |
| prompt_template=prompt_template, | |
| model=args.model, | |
| return_json=True | |
| ) | |
| except InvalidJointDataError as e: | |
| print(f"ERROR: Invalid joint data — {e}") | |
| sys.exit(1) | |
| result = { | |
| "seq_id": npy_path.stem, | |
| "frame_start": frame_start, | |
| "frame_end": frame_end, | |
| "annotation": annotation | |
| } | |
| output_path = Path(args.output) | |
| output_path.parent.mkdir(parents=True, exist_ok=True) | |
| with open(output_path, "w") as f: | |
| json.dump(result, f, indent=4) | |
| print(f"Saved annotation to {output_path}") | |
| if __name__ == "__main__": | |
| main() | |