Closed buggogogo closed 1 year ago
You can load multiple files at the same time and add them to the visualizer, i.e.:
import pyviz3d.visualizer as viz
v = viz.Visualizer()
# xyz1, rgb1: 1st point cloud
# xyz2. rgb2: 2nd point cloud
v.add_points('pc1', xyz1, rgb1, point_size=15)
v.add_points('pc2', xyz2, rgb2, point_size=15)
Make sure that xyz1
and xyz2
are in the global coordinate. You can also concatenate[xyz1, xyz2]
and [rgb1, rgb2]
to create a single point cloud containing all these points and save it as a numpy file.
Thank you ! I will try it!
Hello Author! Your research is excellent and I benefit a lot from it. I trained my dataset,and the result is excellent! My dataset is a corn plant point cloud and is not as large as stpls3d. After model training, the plant is cut into parts. I want to know how to visualize multiple trained files at the same time so that I can see how the whole corn plant is segmented at the same time. I would also like to know if there is a way to save the displayed split file as a colored point cloud file with annotations for easy viewing? I look forward to your response and thank you very much for your work.