Open3D根据点云高度位置，给点云上色

Open3D在点云数据上色和可视化应用,

最新推荐文章于 2024-08-12 10:09:59 发布

原创最新推荐文章于 2024-08-12 10:09:59 发布 · 1k 阅读

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本文介绍了如何使用Python中的Open3D库对点云数据进行颜色编码，根据点的强度值从预定义的颜色映射中获取对应颜色，然后将这些颜色应用到点云对象上，并展示在pcd_Tire_Glue窗口中。

import copy
import time
import open3d as o3d;
import numpy as np;
import matplotlib.pyplot as plt
from scipy.signal import find_peaks
import pandas as pd
import logging
from tqdm import tqdm

colormap = np.random.randint(0,255,(200,3))/255
colormap = np.array([[128, 130, 120], [128, 110, 120], [128, 90, 120], 
                     [235, 0, 205], 
                     [0, 215, 0], 
                     [235, 155, 0]]) / 255.0 

points = np.asarray(pcd_Glue_Begin_End_Pos.points)
points_intensity = points[:, 2]  # intensity 
points_colors = [colormap[int(points_intensity[i]) % colormap.shape[0]] for i in range(points_intensity.shape[0])] 

pcd_Glue_Begin_End_Pos.colors = o3d.utility.Vector3dVector(points_colors)

    o3d.visualization.draw_geometries([pcd_Tire_Glue,pcd_Glue_Begin_End_Pos],window_name="pcd_Tire_Glue ")

上色效果