Download _preview.py from Alisson990/3d: direct link, hf CLI and curl.
- Browser
- Download file 1.46 kB
-
https://huggingface.co/datasets/Alisson990/3d/resolve/main/_preview.py
- Command line
-
hf download hf://datasets/Alisson990/3d/_preview.py
-
curl -L -o _preview.py https://huggingface.co/datasets/Alisson990/3d/resolve/main/_preview.py
1.46 kB
| import sys | |
| import numpy as np | |
| import matplotlib | |
| matplotlib.use("Agg") | |
| import matplotlib.pyplot as plt | |
| import imageio.v2 as imageio | |
| npz_path, mp4_path = sys.argv[1], sys.argv[2] | |
| title = sys.argv[3] if len(sys.argv) > 3 else "" | |
| d = np.load(npz_path) | |
| pj = d["posed_joints"] | |
| T = pj.shape[0] | |
| stride = max(1, T // 240) | |
| idx = list(range(0, T, stride)) | |
| lo = pj[idx].reshape(-1, 3).min(0); hi = pj[idx].reshape(-1, 3).max(0) | |
| c = (lo + hi) / 2; r = max((hi - lo).max() / 2, 0.5) | |
| pairs = [] | |
| for key in ("parents", "parent", "joint_parents", "bones", "edges"): | |
| if key in d.files: | |
| par = np.asarray(d[key]).ravel() | |
| if len(par) == pj.shape[1]: | |
| pairs = [(int(p), j) for j, p in enumerate(par) if int(p) >= 0] | |
| break | |
| frames = [] | |
| fig = plt.figure(figsize=(5, 5)) | |
| for t in idx: | |
| plt.clf() | |
| ax = fig.add_subplot(111, projection="3d") | |
| p3 = pj[t] | |
| for a, b in pairs: | |
| ax.plot([p3[a,0], p3[b,0]], [p3[a,1], p3[b,1]], [p3[a,2], p3[b,2]], lw=1.5) | |
| ax.scatter(p3[:,0], p3[:,1], p3[:,2], s=8) | |
| ax.set_xlim(c[0]-r, c[0]+r); ax.set_ylim(c[1]-r, c[1]+r); ax.set_zlim(c[2]-r, c[2]+r) | |
| ax.view_init(elev=12, azim=-60) | |
| ax.set_title((title[:60] + f" f{t}/{T}") if title else f"f{t}/{T}") | |
| fig.canvas.draw() | |
| frames.append(np.asarray(fig.canvas.buffer_rgba())[..., :3].copy()) | |
| plt.close(fig) | |
| imageio.mimsave(mp4_path, frames, fps=30, codec="libx264", quality=7) | |
| print("preview OK:", mp4_path, len(frames), "frames") | |