3D Point Cloud Visual

Point cloud viewer

Dependencies

pip install numpy --user
pip install mayavi --user
pip install PyQt5 --user<!---more--->

import numpy as np
import mayavi.mlab #Python for 3D plotting
"""
3D point cloud visualization
"""
def viz_mayavi(points, vals="distance"):
    x = points[:, 0]  # x 
    y = points[:, 1]  # y 
    z = points[:, 2]  # z 
    # r = lidar[:, 3]  # Confidence value
    d = np.sqrt(x ** 2 + y ** 2)  # Distance from image to touch sensor

    if vals == "height":
        col = z
    else:
        col = d

    fig = mayavi.mlab.figure(bgcolor=(0, 0, 0), size=(640, 360))
    mayavi.mlab.points3d(x, y, z,
                         col,  # Color value
                         mode="point",
                         colormap='spectral',  # 'bone', 'copper', 'gnuplot'
                         # color=(0, 1, 0),   # Use fixed colors
                         figure=fig,
                         )
    mayavi.mlab.show()


points = np.loadtxt('data/6.xyz')# Select data
viz_mayavi(points)

Demo screenshot

• 作者： Chris Yan
• 链接： https:/Yansz.github.io/2019/05/11/3D PointVisual/
• 版权声明： 本博客所有文章除特别声明外，均采用 MIT 许可协议。转载请注明出处！