| import torch
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| import numpy as np
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| import matplotlib.pyplot as plt
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| plt.rcParams['animation.ffmpeg_path'] = '/usr/bin/ffmpeg'
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| from mpl_toolkits.mplot3d import Axes3D
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| from matplotlib.animation import FuncAnimation, PillowWriter
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| from mpl_toolkits.mplot3d.art3d import Poly3DCollection
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| import mpl_toolkits.mplot3d.axes3d as p3
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|
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| def qrot(q, v):
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| """
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| Rotate vector(s) v about the rotation described by quaternion(s) q.
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| Expects a tensor of shape (*, 4) for q and a tensor of shape (*, 3) for v,
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| where * denotes any number of dimensions.
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| Returns a tensor of shape (*, 3).
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| """
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| assert q.shape[-1] == 4
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| assert v.shape[-1] == 3
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| assert q.shape[:-1] == v.shape[:-1]
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| original_shape = list(v.shape)
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|
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| q = q.contiguous().view(-1, 4)
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| v = v.contiguous().view(-1, 3)
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|
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| qvec = q[:, 1:]
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| uv = torch.cross(qvec, v, dim=1)
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| uuv = torch.cross(qvec, uv, dim=1)
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| return (v + 2 * (q[:, :1] * uv + uuv)).view(original_shape)
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|
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| def qinv(q):
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| assert q.shape[-1] == 4, 'q must be a tensor of shape (*, 4)'
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| mask = torch.ones_like(q)
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| mask[..., 1:] = -mask[..., 1:]
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| return q * mask
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|
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| def recover_root_rot_pos(data):
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| rot_vel = data[..., 0]
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| r_rot_ang = torch.zeros_like(rot_vel).to(data.device)
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| '''Get Y-axis rotation from rotation velocity'''
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| r_rot_ang[..., 1:] = rot_vel[..., :-1]
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| r_rot_ang = torch.cumsum(r_rot_ang, dim=-1)
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|
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| r_rot_quat = torch.zeros(data.shape[:-1] + (4,)).to(data.device)
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| r_rot_quat[..., 0] = torch.cos(r_rot_ang)
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| r_rot_quat[..., 2] = torch.sin(r_rot_ang)
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| r_pos = torch.zeros(data.shape[:-1] + (3,)).to(data.device)
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| r_pos[..., 1:, [0, 2]] = data[..., :-1, 1:3]
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| '''Add Y-axis rotation to root position'''
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| r_pos = qrot(qinv(r_rot_quat), r_pos)
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|
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| r_pos = torch.cumsum(r_pos, dim=-2)
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| r_pos[..., 1] = data[..., 3]
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| return r_rot_quat, r_pos
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|
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| def recover_from_ric(data, joints_num):
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| r_rot_quat, r_pos = recover_root_rot_pos(data)
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| positions = data[..., 4:(joints_num - 1) * 3 + 4]
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| positions = positions.view(positions.shape[:-1] + (-1, 3))
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|
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| '''Add Y-axis rotation to local joints'''
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| positions = qrot(qinv(r_rot_quat[..., None, :]).expand(positions.shape[:-1] + (4,)), positions)
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|
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| '''Add root XZ to joints'''
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| positions[..., 0] += r_pos[..., 0:1]
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| positions[..., 2] += r_pos[..., 2:3]
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|
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| '''Concate root and joints'''
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| positions = torch.cat([r_pos.unsqueeze(-2), positions], dim=-2)
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|
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| return positions
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|
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| def plot_3d_motion(save_path, kinematic_tree, joints, title, figsize=(10, 10), fps=120, radius=4):
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| title_sp = title.split(' ')
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| if len(title_sp) > 10:
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| title = '\n'.join([' '.join(title_sp[:10]), ' '.join(title_sp[10:])])
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| def init():
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| nb_joints = joints.shape[1]
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| limits = 1000 if nb_joints == 21 else 2
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| ax.set_xlim(-limits, limits)
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| ax.set_ylim(-limits, limits)
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| ax.set_zlim(0, limits)
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| fig.suptitle(title, fontsize=20)
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| ax.grid(b=False)
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|
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| def plot_xzPlane(minx, maxx, miny, minz, maxz):
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|
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| verts = [
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| [minx, miny, minz],
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| [minx, miny, maxz],
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| [maxx, miny, maxz],
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| [maxx, miny, minz]
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| ]
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| xz_plane = Poly3DCollection([verts])
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| xz_plane.set_facecolor((0.5, 0.5, 0.5, 0.5))
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| ax.add_collection3d(xz_plane)
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| data = joints.copy().reshape(len(joints), -1, 3)
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| fig = plt.figure(figsize=figsize)
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|
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| ax = fig.add_subplot(111, projection='3d')
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| init()
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| MINS = data.min(axis=0).min(axis=0)
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| MAXS = data.max(axis=0).max(axis=0)
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| colors = ['red', 'blue', 'black', 'red', 'blue',
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| 'darkblue', 'darkblue', 'darkblue', 'darkblue', 'darkblue',
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| 'darkred', 'darkred','darkred','darkred','darkred']
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| frame_number = data.shape[0]
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| height_offset = MINS[1]
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| data[:, :, 1] -= height_offset
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| trajec = data[:, 0, [0, 2]]
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| data[..., 0] -= data[:, 0:1, 0]
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| data[..., 2] -= data[:, 0:1, 2]
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| def update(index):
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| for line in ax.lines:
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| line.remove()
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| for collection in ax.collections:
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| collection.remove()
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| ax.view_init(elev=120, azim=-90)
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| ax.dist = 7.5
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|
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| plot_xzPlane(MINS[0]-trajec[index, 0], MAXS[0]-trajec[index, 0], 0, MINS[2]-trajec[index, 1], MAXS[2]-trajec[index, 1])
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| if index > 1:
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| ax.plot3D(trajec[:index, 0]-trajec[index, 0], np.zeros_like(trajec[:index, 0]), trajec[:index, 1]-trajec[index, 1], linewidth=1.0,
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| color='blue')
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| for i, (chain, color) in enumerate(zip(kinematic_tree, colors)):
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|
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| if i < 5:
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| linewidth = 4.0
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| else:
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| linewidth = 2.0
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| ax.plot3D(data[index, chain, 0], data[index, chain, 1], data[index, chain, 2], linewidth=linewidth, color=color)
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| plt.axis('off')
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| ax.set_xticklabels([])
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| ax.set_yticklabels([])
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| ax.set_zticklabels([])
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| ani = FuncAnimation(fig, update, frames=frame_number, interval=1000/fps, repeat=False)
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| FFwriter=animation.FFMpegWriter(fps=fps, extra_args=['-vcodec', 'libx264'])
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| ani.save(save_path, writer=FFwriter)
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| plt.close()
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