目录

3D数据集下载

读取binvox文件

使用matplotlib创建图

动画效果

完整代码

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3D数据集下载

这里以shapenet数据集为例，可以访问外网的可以去直接申请下载；我也准备了一个备份在百度网盘的数据集，可以参考：

ShapeNet简介和下载、binvox文件python示例-CSDN博客

读取binvox文件

需要先安装binvox_rw：

https://github.com/wangqiang9/binvox_rw/tree/main

git clone git@github.com:wangqiang9/binvox_rw.git
cd binvox_rw
pip install .

然后调用接口读取binvox文件：

    # 读取 .binvox 文件with open(path, "rb") as f:model = binvox_rw.read_as_3d_array(f)

使用matplotlib创建图

   # 转换成 numpy 数组voxels = model.data# 旋转voxels = np.transpose(voxels, (2, 1, 0))voxels = np.transpose(voxels, (0, 2, 1))# 创建一个图和坐标轴fig = plt.figure()ax = fig.add_subplot(111, projection='3d')ax.set_axis_off()# 批量隐藏所有边框线for spine in ax.spines.values():spine.set_visible(False)# 隐藏刻度线ax.tick_params(bottom=False, left=False)# 创建一个可视化的体素图ax.voxels(voxels, edgecolor='k')

动画效果

    # 保存动画rot_animation.save(gif_path, dpi=100, writer='imagemagick')video = VideoFileClip(gif_path)target_duration = video.duration / 3compressed_video = video.fx(vfx.speedx, target_duration)compressed_video.write_videofile(video_path)

完整代码

import numpy as np
import binvox_rw
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import os
from moviepy.editor import *output_path = "/shapenet/video_ratate"
output_gif_path = "/datasets/shapenet/gif_ratate"
folder_path = "/datasets/shapenet/all/ShapeNetVox32/"
subfolders = [f.path for f in os.scandir(folder_path) if f.is_dir()]def func(path, gif_path, video_path):# 读取 .binvox 文件with open(path, "rb") as f:model = binvox_rw.read_as_3d_array(f)# 转换成 numpy 数组voxels = model.data# 旋转voxels = np.transpose(voxels, (2, 1, 0))voxels = np.transpose(voxels, (0, 2, 1))# 创建一个图和坐标轴fig = plt.figure()ax = fig.add_subplot(111, projection='3d')ax.set_axis_off()# 批量隐藏所有边框线for spine in ax.spines.values():spine.set_visible(False)# 隐藏刻度线ax.tick_params(bottom=False, left=False)# 创建一个可视化的体素图ax.voxels(voxels, edgecolor='k')# 保存动画帧函数def rotate(angle):ax.view_init(azim=angle)# 创建动画rot_animation = animation.FuncAnimation(fig, rotate, frames=np.arange(0, 360, 4), interval=0.5)# 保存动画rot_animation.save(gif_path, dpi=100, writer='imagemagick')video = VideoFileClip(gif_path)target_duration = video.duration / 3compressed_video = video.fx(vfx.speedx, target_duration)compressed_video.write_videofile(video_path)plt.show()for subfolder in subfolders:subfolders_1 = [f.path for f in os.scandir(subfolder) if f.is_dir()]for path in subfolders_1:path = os.path.join(path, 'model.binvox')gif_name = path.split('/')[-2] + ".gif"video_name = path.split('/')[-2] + ".mp4"gif_path = os.path.join(output_gif_path, gif_name)video_path = os.path.join(output_path, video_name)func(path, gif_path, video_path)

也可以看我在GitHub上写的案例：

https://github.com/wangqiang9/binvox_rw/blob/main/convert_to_video.py