对点云分成2条导线

最新推荐文章于 2025-12-08 12:04:40 发布

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最新推荐文章于 2025-12-08 12:04:40 发布 · 184 阅读

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#python #numpy #数据挖掘

本文介绍了如何使用Python对点云数据进行处理，通过计算点与点之间的斜率以及寻找导线中心点的方法，将一条导线分割为两条。主要涉及的数据处理库包括numpy。

如何对点云中的导线将它分成2条线
利用的点与点之间的斜率和找导线的中心点
def read_las_line(path):

inFile = File(path, mode='r')
#raw = inFile.raw_classification
# for spec in inFile.point_format:
#     print(spec.name, end=", ")
# print("成功")
R = inFile.Red
G= inFile.Green
class_cofig = inFile.Classification
Intensity = inFile.Intensity
Key_Point = inFile.Key_Point
Raw_Classification = inFile.Raw_Classification
Synthetic = inFile.Synthetic


B = inFile.Blue
header = inFile.header
#?points?=?np.vstack((inFile.x,?inFile.y,?inFile.z,?raw))
print(inFile)
points = np.vstack((inFile.x, inFile.y,inFile.z,class_cofig,R,G,B,Key_Point, ))
points = points.T
mask =(points[:,3]==10)
points = points[mask]
points=points[points[:, 0].argsort()]

points= np.array(points)
number_count = len(points)
number_midel = number_count//10000
print(points.shape)
number_numpy = 20* number_midel
#new_point = np.zeros((number_numpy,8),dtype = np.int)
number_count = len(points)
number_midel = number_count//5000
new_point =np.