帮我用python写一段从obj文件中提取角特征和线特征并可视化的代码
时间: 2023-05-17 14:07:41 浏览: 60
当然可以,以下是一段Python代码,可以从obj文件中提取角特征和线特征,并将其可视化:
```python
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
def read_obj_file(file_path):
vertices = []
faces = []
with open(file_path, 'r') as f:
for line in f:
if line.startswith('v '):
vertex = [float(x) for x in line[2:].split()]
vertices.append(vertex)
elif line.startswith('f '):
face = [int(x.split('/')[0]) for x in line[2:].split()]
faces.append(face)
return np.array(vertices), np.array(faces)
def compute_edge_features(vertices, faces):
edges = set()
for face in faces:
for i in range(len(face)):
edge = (face[i], face[(i+1)%len(face)])
if edge[0] > edge[1]:
edge = (edge[1], edge[0])
edges.add(edge)
edges = list(edges)
edge_features = np.zeros((len(edges), 3))
for i, edge in enumerate(edges):
v1 = vertices[edge[0]-1]
v2 = vertices[edge[1]-1]
edge_features[i] = v2 - v1
return edges, edge_features
def compute_vertex_features(vertices, faces):
vertex_features = np.zeros((len(vertices), 3))
for i, vertex in enumerate(vertices):
adjacent_faces = []
for face in faces:
if i+1 in face:
adjacent_faces.append(face)
normal = np.zeros(3)
for face in adjacent_faces:
v1 = vertices[face[0]-1]
v2 = vertices[face[1]-1]
v3 = vertices[face[2]-1]
normal += np.cross(v2-v1, v3-v1)
normal /= np.linalg.norm(normal)
vertex_features[i] = normal
return vertex_features
def visualize(vertices, edges, edge_features, vertex_features):
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.scatter(vertices[:,0], vertices[:,1], vertices[:,2], c=vertex_features[:,2], cmap='coolwarm')
for i, edge in enumerate(edges):
v1 = vertices[edge[0]-1]
v2 = vertices[edge[1]-1]
ax.plot([v1[0], v2[0]], [v1[1], v2[1]], [v1[2], v2[2]], color=plt.cm.coolwarm(edge_features[i,2]))
plt.show()
vertices, faces = read_obj_file('example.obj')
edges, edge_features = compute_edge_features(vertices, faces)
vertex_features = compute_vertex_features(vertices, faces)
visualize(vertices, edges, edge_features, vertex_features)
```
这段代码首先读取obj文件中的顶点和面信息,然后计算出所有的边和每条边的向量特征,以及每个顶点的法向量特征。最后,使用matplotlib库将顶点和边可视化出来,其中顶点的颜色表示法向量在z轴上的分量,边的颜色表示边向量在z轴上的分量。
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