Download tools/data_process/process/vis.py from L-yiheng/NMR: direct link, hf CLI and curl.
- Browser
- Download file 4.58 kB
-
https://huggingface.co/L-yiheng/NMR/resolve/main/tools/data_process/process/vis.py
- Command line
-
hf download hf://L-yiheng/NMR/tools/data_process/process/vis.py
-
curl -L -o vis.py https://huggingface.co/L-yiheng/NMR/resolve/main/tools/data_process/process/vis.py
4.58 kB
| import cv2, io | |
| import numpy as np | |
| import torch | |
| import matplotlib.pyplot as plt | |
| import matplotlib | |
| from mpl_toolkits.mplot3d.art3d import Poly3DCollection | |
| import mpl_toolkits.mplot3d.axes3d as p3 | |
| from textwrap import wrap | |
| def _vis_3d_motion(args, figsize=(10, 10), fps=120, radius=4): | |
| matplotlib.use('Agg') | |
| joints, out_name, title = args | |
| data = joints.copy().reshape(len(joints), -1, 3) | |
| nb_joints = joints.shape[1] | |
| smpl_kinetic_chain = [ | |
| [0, 11, 12, 13, 14, 15], | |
| [0, 16, 17, 18, 19, 20], | |
| [0, 1, 2, 3, 4], [3, 5, 6, 7], | |
| [3, 8, 9, 10] | |
| ] if nb_joints == 21 else [ | |
| [0, 2, 5, 8, 11], [0, 1, 4, 7, 10], | |
| [0, 3, 6, 9, 12, 15], [9, 14, 17, 19, 21], | |
| [9, 13, 16, 18, 20] | |
| ] | |
| limits = 1000 if nb_joints == 21 else 2 | |
| MINS = data.min(axis=0).min(axis=0) | |
| MAXS = data.max(axis=0).max(axis=0) | |
| colors = ['red', 'blue', 'black', 'red', 'blue', | |
| 'darkblue', 'darkblue', 'darkblue', 'darkblue', 'darkblue', | |
| 'darkred', 'darkred', 'darkred', 'darkred', 'darkred'] | |
| frame_number = data.shape[0] | |
| # print(data.shape) | |
| height_offset = MINS[1] | |
| data[:, :, 1] -= height_offset | |
| trajec = data[:, 0, [0, 2]] | |
| data[..., 0] -= data[:, 0:1, 0] | |
| data[..., 2] -= data[:, 0:1, 2] | |
| def update(index): | |
| def init(): | |
| ax.set_xlim(-limits, limits) | |
| ax.set_ylim(-limits, limits) | |
| ax.set_zlim(0, limits) | |
| ax.grid(b=False) | |
| def plot_xzPlane(minx, maxx, miny, minz, maxz): | |
| ## Plot a plane XZ | |
| verts = [ | |
| [minx, miny, minz], | |
| [minx, miny, maxz], | |
| [maxx, miny, maxz], | |
| [maxx, miny, minz] | |
| ] | |
| xz_plane = Poly3DCollection([verts]) | |
| xz_plane.set_facecolor((0.5, 0.5, 0.5, 0.5)) | |
| ax.add_collection3d(xz_plane) | |
| fig = plt.figure(figsize=(480/96., 320/96.), dpi=96) if nb_joints == 21 else plt.figure(figsize=(10, 10), dpi=96) | |
| if title is not None : | |
| wraped_title = '\n'.join(wrap(title, 40)) | |
| fig.suptitle(wraped_title, fontsize=16) | |
| ax = p3.Axes3D(fig, auto_add_to_figure=False) | |
| fig.add_axes(ax) | |
| init() | |
| for coll in ax.lines: | |
| coll.remove() | |
| for coll in ax.collections: | |
| coll.remove() | |
| ax.view_init(elev=110, azim=-90) | |
| ax.dist = 7.5 # type: ignore | |
| plot_xzPlane(MINS[0] - trajec[index, 0], MAXS[0] - trajec[index, 0], 0, | |
| MINS[2] - trajec[index, 1], MAXS[2] - trajec[index, 1]) | |
| if index > 1: | |
| ax.plot3D(trajec[:index, 0] - trajec[index, 0], | |
| np.zeros_like(trajec[:index, 0]), | |
| trajec[:index, 1] - trajec[index, 1], | |
| linewidth=1.0, color='blue') | |
| for i, (chain, color) in enumerate(zip(smpl_kinetic_chain, colors)): | |
| linewidth = 4.0 if i < 5 else 2.0 | |
| ax.plot3D(data[index, chain, 0], data[index, chain, 1], data[index, chain, 2], | |
| linewidth=linewidth, color=color) | |
| plt.axis('off') | |
| ax.set_xticklabels([]) | |
| ax.set_yticklabels([]) | |
| ax.set_zticklabels([]) # type: ignore | |
| if out_name is not None : | |
| plt.savefig(out_name, dpi=96) | |
| plt.close() | |
| else : | |
| io_buf = io.BytesIO() | |
| fig.savefig(io_buf, format='raw', dpi=96) | |
| io_buf.seek(0) | |
| arr = np.reshape(np.frombuffer(io_buf.getvalue(), dtype=np.uint8), | |
| newshape=(int(fig.bbox.bounds[3]), int(fig.bbox.bounds[2]), -1)) | |
| io_buf.close() | |
| plt.close() | |
| return arr | |
| out = [] | |
| for i in range(frame_number) : | |
| out.append(update(i)) | |
| out = np.stack(out, axis=0) | |
| return torch.from_numpy(out) | |
| def vis_3d_motion(smpl_joints_batch, title_batch=None, outname=None, fps=30) : | |
| out = [] | |
| for i in range(len(smpl_joints_batch)) : | |
| out.append(_vis_3d_motion([smpl_joints_batch[i], None, title_batch[i] if title_batch is not None else None])) | |
| if outname is not None: | |
| import imageio.v3 as iio | |
| images = np.array(out[-1]).astype(np.uint8)[..., :3] | |
| with iio.imopen(outname[i], "w", plugin="pyav") as writer: | |
| writer.init_video_stream("libx264", fps=int(fps)) | |
| writer._video_stream.options = {"crf": str(17)} | |
| writer.write(images) | |