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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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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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q = q.contiguous().view(-1, 4)
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v = v.contiguous().view(-1, 3)
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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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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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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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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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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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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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'''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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'''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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'''Concate root and joints'''
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positions = torch.cat([r_pos.unsqueeze(-2), positions], dim=-2)
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return positions
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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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def plot_xzPlane(minx, maxx, miny, minz, maxz):
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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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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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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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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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ani.save(save_path, fps=fps)
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plt.close()
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