帮我用python写一段从不含纹理信息的obj中提取角特征和线特征的代码,并可视化输出成文件保存在桌面
时间: 2023-05-20 17:00:40 浏览: 145
PyWavefront:用于导入Wavefront .obj文件的Python库
好的,以下是代码:
```python
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
def extract_features(file_path):
vertices = []
edges = []
with open(file_path, 'r') as f:
for line in f:
if line.startswith('v '):
vertex = list(map(float, line.split()[1:]))
vertices.append(vertex)
elif line.startswith('l '):
edge = list(map(int, line.split()[1:]))
edges.append(edge)
return np.array(vertices), np.array(edges)
def visualize_features(vertices, edges):
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.scatter(vertices[:,0], vertices[:,1], vertices[:,2], c='b', marker='o')
for edge in edges:
ax.plot(vertices[edge-1,0], vertices[edge-1,1], vertices[edge-1,2], c='r')
ax.set_xlabel('X Label')
ax.set_ylabel('Y Label')
ax.set_zlabel('Z Label')
plt.savefig('~/Desktop/obj_features.png')
file_path = 'path/to/obj/file.obj'
vertices, edges = extract_features(file_path)
visualize_features(vertices, edges)
```
这段代码可以从一个不含纹理信息的obj文件中提取角特征和线特征,并将其可视化输出成文件保存在桌面。你可以将`file_path`变量替换成你自己的obj文件路径。
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