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| import math | |
| import numpy as np | |
| import matplotlib | |
| import matplotlib.pyplot as plt | |
| from mpl_toolkits.mplot3d import Axes3D | |
| from matplotlib.animation import FuncAnimation, FFMpegFileWriter | |
| from mpl_toolkits.mplot3d.art3d import Poly3DCollection | |
| import mpl_toolkits.mplot3d.axes3d as p3 | |
| COLORS = [[255, 0, 0], [255, 85, 0], [255, 170, 0], [255, 255, 0], [170, 255, 0], [85, 255, 0], [0, 255, 0], | |
| [0, 255, 85], [0, 255, 170], [0, 255, 255], [0, 170, 255], [0, 85, 255], [0, 0, 255], [85, 0, 255], | |
| [170, 0, 255], [255, 0, 255], [255, 0, 170], [255, 0, 85]] | |
| def plot_2d_pose(pose, pose_tree, class_type, save_path=None, excluded_joints=None): | |
| def init(): | |
| plt.xlabel('x') | |
| plt.ylabel('y') | |
| plt.title(class_type) | |
| fig = plt.figure() | |
| init() | |
| data = np.array(pose, dtype=float) | |
| if excluded_joints is None: | |
| plt.scatter(data[:, 0], data[:, 1], color='b', marker='h', s=15) | |
| else: | |
| plot_joints = [i for i in range(data.shape[1]) if i not in excluded_joints] | |
| plt.scatter(data[plot_joints, 0], data[plot_joints, 1], color='b', marker='h', s=15) | |
| for idx1, idx2 in pose_tree: | |
| plt.plot([data[idx1, 0], data[idx2, 0]], | |
| [data[idx1, 1], data[idx2, 1]], color='r', linewidth=2.0) | |
| # update(1) | |
| # plt.show() | |
| # Writer = writers['ffmpeg'] | |
| # writer = Writer(fps=15, metadata={}) | |
| if save_path is not None: | |
| plt.savefig(save_path) | |
| plt.show() | |
| plt.close() | |
| def list_cut_average(ll, intervals): | |
| if intervals == 1: | |
| return ll | |
| bins = math.ceil(len(ll) * 1.0 / intervals) | |
| ll_new = [] | |
| for i in range(bins): | |
| l_low = intervals * i | |
| l_high = l_low + intervals | |
| l_high = l_high if l_high < len(ll) else len(ll) | |
| ll_new.append(np.mean(ll[l_low:l_high])) | |
| return ll_new | |
| # def draw_pose_from_cords(img_mat_size, pose_2d, kinematic_tree, radius=2): | |
| # img = np.zeros(shape=img_mat_size + (3,), dtype=np.uint8) | |
| # lw = 2 | |
| # pose = pose_2d.astype(np.int32) | |
| # for i, (idx1, idx2) in enumerate(kinematic_tree): | |
| # cv2.line(img, (pose[idx1, 0], pose[idx1, 1]), (pose[idx2, 0], pose[idx2, 1]), (255, 255, 255), lw) | |
| # | |
| # for i, uv in enumerate(pose_2d): | |
| # point = tuple(uv.astype(np.int32)) | |
| # cv2.circle(img, point, radius, COLORS[i % len(COLORS)], -1) | |
| # return img | |
| def plot_3d_pose_v2(savePath, kinematic_tree, joints, title=None): | |
| figure = plt.figure() | |
| # ax = plt.axes(xlim=(-1, 1), ylim=(-1, 1), zlim=(-1, 1), projection='3d') | |
| ax = Axes3D(figure) | |
| # ax.set_ylim(-1, 1) | |
| # ax.set_xlim(-1, 1) | |
| # ax.set_zlim(-1, 1) | |
| if title is not None: | |
| ax.set_title(title) | |
| ax.set_xlabel('x') | |
| ax.set_ylabel('y') | |
| ax.set_zlabel('z') | |
| ax.view_init(elev=110, azim=90) | |
| ax.scatter(joints[:, 0], joints[:, 1], joints[:, 2], color='black') | |
| colors = ['red', 'magenta', 'black', 'magenta', 'black', 'green', 'blue'] | |
| for chain, color in zip(kinematic_tree, colors): | |
| ax.plot3D(joints[chain, 0], joints[chain, 1], joints[chain, 2], linewidth=2.0, color=color) | |
| # ax.set_aspect(1) | |
| # # plt.axis('off') | |
| # ax.set_xticklabels([]) | |
| # ax.set_yticklabels([]) | |
| # ax.set_zticklabels([]) | |
| # plt.savefig(savePath) | |
| plt.show() | |
| def plot_3d_motion_v2(motion, kinematic_tree, save_path, interval=50, dataset=None, title=None): | |
| # matplotlib.use('Agg') | |
| def init(): | |
| ax.set_xlabel('x') | |
| ax.set_ylabel('y') | |
| ax.set_zlabel('z') | |
| ax.set_ylim(0, 800) | |
| ax.set_xlim(0, 800) | |
| ax.set_zlim(0, 5000) | |
| # ax.set_ylim(-0.75, 0.75) | |
| # ax.set_xlim(-0.75, 0.75) | |
| # ax.set_zlim(-0.75, 0.75) | |
| if title is not None: | |
| ax.set_title(title) | |
| motion = motion.reshape(motion.shape[0], -1, 3) | |
| fig = plt.figure() | |
| # ax = fig.add_subplot(111, projection='3d') | |
| ax = p3.Axes3D(fig) | |
| init() | |
| data = np.array(motion, dtype=float) | |
| colors = ['red', 'magenta', 'black', 'green', 'blue','red', 'magenta', 'black', 'green', 'blue'] | |
| frame_number = data.shape[0] | |
| # dim (frame, joints, xyz) | |
| print(data.shape) | |
| def update(index): | |
| ax.lines = [] | |
| ax.collections = [] | |
| ax.view_init(elev=110, azim=-90) | |
| ax.scatter(motion[index, :, 0], motion[index, :, 1], motion[index, :, 2], color='black') | |
| for chain, color in zip(kinematic_tree, colors): | |
| ax.plot3D(motion[index, chain, 0], motion[index, chain, 1], motion[index, chain, 2], linewidth=2.0, color=color) | |
| # ax.set_aspect('equal') | |
| # plt.axis('off') | |
| # ax.set_xticklabels([]) | |
| # ax.set_yticklabels([]) | |
| # ax.set_zticklabels([]) | |
| ani = FuncAnimation(fig, update, frames=frame_number, interval=interval, repeat=True, repeat_delay=50) | |
| # update(1) | |
| # plt.show() | |
| # Writer = writers['ffmpeg'] | |
| # writer = Writer(fps=15, metadata={}) | |
| ani.save(save_path, writer='pillow') | |
| plt.close() | |
| # radius = 10*offsets | |
| def plot_3d_motion_kit(save_path, kinematic_tree, joints, title, figsize=(5, 5), interval=100, radius=246 * 12): | |
| matplotlib.use('Agg') | |
| title_sp = title.split(' ') | |
| if len(title_sp) > 10: | |
| title = '\n'.join([' '.join(title_sp[:10]), ' '.join(title_sp[10:])]) | |
| def init(): | |
| ax.set_xlim3d([-radius / 2, radius / 2]) | |
| ax.set_ylim3d([-radius / 2, radius / 2]) | |
| ax.set_zlim3d([0, radius]) | |
| # print(title) | |
| fig.suptitle(title) | |
| 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) | |
| # return ax | |
| # (seq_len, joints_num, 3) | |
| data = joints.reshape(len(joints), -1, 3) | |
| fig = plt.figure(figsize=figsize) | |
| ax = p3.Axes3D(fig) | |
| init() | |
| MINS = data.min(axis=0).min(axis=0) | |
| MAXS = data.max(axis=0).max(axis=0) | |
| colors = ['red', 'magenta', 'black', 'green', 'blue', 'red', 'magenta', 'black', 'green', 'blue'] | |
| frame_number = data.shape[0] | |
| # print(data.shape) | |
| height_offset = MINS[1] | |
| data[:, :, 1] -= height_offset | |
| trajec = data[:, 0, [0, 2]] | |
| # print(trajec.shape) | |
| def update(index): | |
| # print(index) | |
| ax.lines = [] | |
| ax.collections = [] | |
| ax.view_init(elev=110, azim=-90) | |
| ax.dist = 7.5 | |
| # ax = | |
| plot_xzPlane(MINS[0], MAXS[0], 0, MINS[2], MAXS[2]) | |
| ax.scatter(data[index, :, 0], data[index, :, 1], data[index, :, 2], color='black') | |
| for chain, color in zip(kinematic_tree, colors): | |
| ax.plot3D(data[index, chain, 0], data[index, chain, 1], data[index, chain, 2], linewidth=2.0, color=color) | |
| # print(trajec[:index, 0].shape) | |
| if index > 1: | |
| ax.plot3D(trajec[:index, 0], np.zeros_like(trajec[:index, 0]), trajec[:index, 1], linewidth=1.0, | |
| color='blue') | |
| # ax = plot_xzPlane(ax, MINS[0], MAXS[0], 0, MINS[2], MAXS[2]) | |
| plt.axis('off') | |
| ax.set_xticklabels([]) | |
| ax.set_yticklabels([]) | |
| ax.set_zticklabels([]) | |
| ani = FuncAnimation(fig, update, frames=frame_number, interval=interval, repeat=True, repeat_delay=50) | |
| ani.save(save_path, writer='pillow') | |
| plt.close() | |
| def plot_3d_motion_gt_pred(save_path, kinematic_tree, gt_joints, pred_joints, title, figsize=(10, 10), fps=120, radius=4): | |
| matplotlib.use('Agg') | |
| title_sp = title.split(' ') | |
| if len(title_sp) > 20: | |
| title = '\n'.join([' '.join(title_sp[:10]), ' '.join(title_sp[10:20]), ' '.join(title_sp[20:])]) | |
| elif len(title_sp) > 10: | |
| title = '\n'.join([' '.join(title_sp[:10]), ' '.join(title_sp[10:])]) | |
| def init(): | |
| for ax in axs: | |
| ax.set_xlim3d([-radius / 2, radius / 2]) | |
| ax.set_ylim3d([0, radius]) | |
| ax.set_zlim3d([0, radius]) | |
| fig.suptitle(title, fontsize=20) | |
| ax.grid(b=False) | |
| def plot_xzPlane(minx, maxx, miny, minz, maxz, ax): | |
| ## 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) | |
| # return ax | |
| def update(index): | |
| for i, ax in enumerate(axs): | |
| ax.lines = [] | |
| ax.collections = [] | |
| ax.view_init(elev=120, azim=-90) | |
| ax.dist = 7.5 | |
| MINS = motions_min[i] | |
| MAXS = motions_max[i] | |
| trajec = motions_traj[i] | |
| data = motions_data[i] | |
| plot_xzPlane(MINS[0] - trajec[index, 0], MAXS[0] - trajec[index, 0], 0, MINS[2] - trajec[index, 1], | |
| MAXS[2] - trajec[index, 1], ax) | |
| 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(kinematic_tree, colors)): | |
| if i < 5: | |
| linewidth = 4.0 | |
| else: | |
| linewidth = 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([]) | |
| # (seq_len, joints_num, 3) | |
| motions_data = [] | |
| motions_traj = [] | |
| motions_min = [] | |
| motions_max = [] | |
| colors = ['red', 'blue', 'black', 'red', 'blue', | |
| 'darkblue', 'darkblue', 'darkblue', 'darkblue', 'darkblue', | |
| 'darkred', 'darkred', 'darkred', 'darkred', 'darkred'] | |
| for i, joints in enumerate((gt_joints, pred_joints)): | |
| data = joints.copy().reshape(len(joints), -1, 3) | |
| frame_number = data.shape[0] | |
| MINS = data.min(axis=0).min(axis=0) | |
| motions_min.append(MINS) | |
| MAXS = data.max(axis=0).max(axis=0) | |
| motions_max.append(MAXS) | |
| height_offset = MINS[1] | |
| data[:, :, 1] -= height_offset | |
| trajec = data[:, 0, [0, 2]] | |
| motions_traj.append(trajec) | |
| data[..., 0] -= data[:, 0:1, 0] | |
| data[..., 2] -= data[:, 0:1, 2] | |
| motions_data.append(data) | |
| axs = [] | |
| fig = plt.figure(figsize=(20,10)) | |
| axs.append(fig.add_subplot(1, 2, 1, projection='3d')) | |
| axs.append(fig.add_subplot(1, 2, 2, projection='3d')) | |
| init() | |
| ani = FuncAnimation(fig, update, frames=frame_number, interval=1000 / fps, repeat=False) | |
| # writer = FFMpegFileWriter(fps=fps) | |
| ani.save(save_path, fps=fps) | |
| plt.close() | |
| def plot_3d_motion(save_path, kinematic_tree, joints, title, figsize=(10, 10), fps=120, radius=4): | |
| matplotlib.use('Agg') | |
| title_sp = title.split(' ') | |
| if len(title_sp) > 20: | |
| title = '\n'.join([' '.join(title_sp[:10]), ' '.join(title_sp[10:20]), ' '.join(title_sp[20:])]) | |
| elif len(title_sp) > 10: | |
| title = '\n'.join([' '.join(title_sp[:10]), ' '.join(title_sp[10:])]) | |
| def init(): | |
| ax.set_xlim3d([-radius / 2, radius / 2]) | |
| ax.set_ylim3d([0, radius]) | |
| ax.set_zlim3d([0, radius]) | |
| # print(title) | |
| fig.suptitle(title, fontsize=20) | |
| 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) | |
| # return ax | |
| # (seq_len, joints_num, 3) | |
| data = joints.copy().reshape(len(joints), -1, 3) | |
| fig = plt.figure(figsize=figsize) | |
| ax = p3.Axes3D(fig) | |
| init() | |
| 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] | |
| # print(trajec.shape) | |
| def update(index): | |
| # print(index) | |
| ax.lines = [] | |
| ax.collections = [] | |
| ax.view_init(elev=120, azim=-90) | |
| ax.dist = 7.5 | |
| # ax = | |
| plot_xzPlane(MINS[0] - trajec[index, 0], MAXS[0] - trajec[index, 0], 0, MINS[2] - trajec[index, 1], | |
| MAXS[2] - trajec[index, 1]) | |
| # ax.scatter(data[index, :22, 0], data[index, :22, 1], data[index, :22, 2], color='black', s=3) | |
| 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') | |
| # ax = plot_xzPlane(ax, MINS[0], MAXS[0], 0, MINS[2], MAXS[2]) | |
| for i, (chain, color) in enumerate(zip(kinematic_tree, colors)): | |
| # print(color) | |
| if i < 5: | |
| linewidth = 4.0 | |
| else: | |
| linewidth = 2.0 | |
| ax.plot3D(data[index, chain, 0], data[index, chain, 1], data[index, chain, 2], linewidth=linewidth, | |
| color=color) | |
| # print(trajec[:index, 0].shape) | |
| plt.axis('off') | |
| ax.set_xticklabels([]) | |
| ax.set_yticklabels([]) | |
| ax.set_zticklabels([]) | |
| ani = FuncAnimation(fig, update, frames=frame_number, interval=1000 / fps, repeat=False) | |
| # writer = FFMpegFileWriter(fps=fps) | |
| ani.save(save_path, fps=fps) | |
| plt.close() | |
| def plot_3d_motion_old(motion, pose_tree, class_type, save_path, interval=300, excluded_joints=None): | |
| matplotlib.use('Agg') | |
| def init(): | |
| ax.set_xlabel('x') | |
| ax.set_ylabel('y') | |
| ax.set_zlabel('z') | |
| ax.set_ylim(-0.75, 0.75) | |
| ax.set_xlim(-0.75, 0.75) | |
| ax.set_zlim(-0.75, 0.75) | |
| # ax.set_ylim(-1.0, 0.2) | |
| # ax.set_xlim(-0.2, 1.0) | |
| # ax.set_zlim(-1.0, 0.4) | |
| ax.set_title(class_type) | |
| fig = plt.figure() | |
| # ax = fig.add_subplot(111, projection='3d') | |
| ax = p3.Axes3D(fig) | |
| init() | |
| data = np.array(motion, dtype=float) | |
| frame_number = data.shape[0] | |
| # dim (frame, joints, xyz) | |
| print(data.shape) | |
| def update(index): | |
| ax.lines = [] | |
| ax.collections = [] | |
| if excluded_joints is None: | |
| ax.scatter(data[index, :, 0], data[index, :, 1], data[index, :, 2], color='b', marker='h', s=15) | |
| else: | |
| plot_joints = [i for i in range(data.shape[1]) if i not in excluded_joints] | |
| ax.scatter(data[index, plot_joints, 0], data[index, plot_joints, 1], data[index, plot_joints, 2], color='b', marker='h', s=15) | |
| for idx1, idx2 in pose_tree: | |
| ax.plot([data[index, idx1, 0], data[index, idx2, 0]], | |
| [data[index, idx1, 1], data[index, idx2, 1]], [data[index, idx1, 2], data[index, idx2, 2]], color='r', linewidth=2.0) | |
| ani = FuncAnimation(fig, update, frames=frame_number, interval=interval, repeat=False, repeat_delay=200) | |
| # update(1) | |
| # plt.show() | |
| # Writer = writers['ffmpeg'] | |
| # writer = Writer(fps=15, metadata={}) | |
| ani.save(save_path, writer='pillow') | |
| plt.close() | |
| def plot_2d_motion(motion, pose_tree, axis_0, axis_1, class_type, save_path, interval=300): | |
| matplotlib.use('Agg') | |
| fig = plt.figure() | |
| plt.title(class_type) | |
| # ax = fig.add_subplot(111, projection='3d') | |
| data = np.array(motion, dtype=float) | |
| frame_number = data.shape[0] | |
| # dim (frame, joints, xyz) | |
| print(data.shape) | |
| def update(index): | |
| plt.clf() | |
| plt.xlim(-0.7, 0.7) | |
| plt.ylim(-0.7, 0.7) | |
| plt.scatter(data[index, :, axis_0], data[index, :, axis_1], color='b', marker='h', s=15) | |
| for idx1, idx2 in pose_tree: | |
| plt.plot([data[index, idx1, axis_0], data[index, idx2, axis_0]], | |
| [data[index, idx1, axis_1], data[index, idx2, axis_1]], color='r', linewidth=2.0) | |
| ani = FuncAnimation(fig, update, frames=frame_number, interval=interval, repeat=False, repeat_delay=200) | |
| # update(1) | |
| # plt.show() | |
| # Writer = writers['ffmpeg'] | |
| # writer = Writer(fps=15, metadata={}) | |
| ani.save(save_path, writer='pillow') | |
| plt.close() | |
| def plot_3d_multi_motion(motion_list, kinematic_tree, save_path, interval=50, dataset=None): | |
| matplotlib.use('Agg') | |
| def init(): | |
| ax.set_xlabel('x') | |
| ax.set_ylabel('y') | |
| ax.set_zlabel('z') | |
| if dataset == "mocap": | |
| ax.set_ylim(-1.5, 1.5) | |
| ax.set_xlim(0, 3) | |
| ax.set_zlim(-1.5, 1.5) | |
| else: | |
| ax.set_ylim(-1, 1) | |
| ax.set_xlim(-1, 1) | |
| ax.set_zlim(-1, 1) | |
| # ax.set_ylim(-1.0, 0.2) | |
| # ax.set_xlim(-0.2, 1.0) | |
| # ax.set_zlim(-1.0, 0.4) | |
| fig = plt.figure() | |
| # ax = fig.add_subplot(111, projection='3d') | |
| ax = p3.Axes3D(fig) | |
| init() | |
| colors = ['red', 'magenta', 'black', 'magenta', 'black', 'green', 'blue'] | |
| frame_number = motion_list[0].shape[0] | |
| # dim (frame, joints, xyz) | |
| # print(data.shape) | |
| print("Number of motions %d" % (len(motion_list))) | |
| def update(index): | |
| ax.lines = [] | |
| ax.collections = [] | |
| if dataset == "mocap": | |
| ax.view_init(elev=110, azim=-90) | |
| else: | |
| ax.view_init(elev=110, azim=90) | |
| for motion in motion_list: | |
| for chain, color in zip(kinematic_tree, colors): | |
| ax.plot3D(motion[index, chain, 0], motion[index, chain, 1], motion[index, chain, 2], | |
| linewidth=4.0, color=color) | |
| plt.axis('off') | |
| # ax.set_xticks([]) | |
| # ax.set_yticks([]) | |
| ax.set_xticklabels([]) | |
| ax.set_yticklabels([]) | |
| ax.set_zticklabels([]) | |
| ani = FuncAnimation(fig, update, frames=frame_number, interval=interval, repeat=False, repeat_delay=200) | |
| # update(1) | |
| # plt.show() | |
| # Writer = writers['ffmpeg'] | |
| # writer = Writer(fps=15, metadata={}) | |
| ani.save(save_path, writer='pillow') | |
| plt.close() | |