Download check_motion.py from Neptune-T/DragMesh-3-Scene: direct link, hf CLI and curl.
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- Download file 1.29 kB
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https://huggingface.co/datasets/Neptune-T/DragMesh-3-Scene/resolve/main/check_motion.py
- Command line
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hf download hf://datasets/Neptune-T/DragMesh-3-Scene/check_motion.py
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curl -L -o check_motion.py https://huggingface.co/datasets/Neptune-T/DragMesh-3-Scene/resolve/main/check_motion.py
1.29 kB
| #!/usr/bin/env python3 | |
| """Check how much motion each joint video actually shows. | |
| Compares each frame against frame 0; fraction of pixels with abs diff > 30. | |
| """ | |
| import sys | |
| from pathlib import Path | |
| import imageio.v2 as imageio | |
| import numpy as np | |
| ROOT = Path(sys.argv[1] if len(sys.argv) > 1 else | |
| "/home/zhanghao/scene/scenesmith_full/outputs/demo") | |
| if ROOT.name.startswith("home_"): | |
| scenes = [ROOT] | |
| else: | |
| scenes = sorted(d for d in ROOT.iterdir() if d.is_dir() and d.name.startswith("home_")) | |
| moved_total, total = 0, 0 | |
| for sc in scenes: | |
| vd = sc / "joint_videos" | |
| if not vd.is_dir(): | |
| continue | |
| vids = sorted(vd.glob("*.mp4")) | |
| n_vis, n_ok = 0, 0 | |
| per = [] | |
| for v in vids: | |
| a = imageio.mimread(str(v)) | |
| f0 = a[0].astype(np.int16) | |
| best = 0.0 | |
| for f in a[1:]: | |
| d = np.abs(f.astype(np.int16) - f0).max(axis=2) | |
| best = max(best, float((d > 30).mean())) | |
| per.append((v.stem, best)) | |
| if best > 0.005: | |
| n_vis += 1 | |
| n_ok += 1 | |
| total += len(per) | |
| moved_total += n_vis | |
| vis = ", ".join(f"{s}:{m*100:.1f}%" for s, m in per if m > 0.005) | |
| print(f"{sc.name}: {n_vis}/{n_ok} visible motion {vis}") | |
| print(f"TOTAL: {moved_total}/{total} videos with visible motion") | |