Applying classifier made in CC to a large .pcd in python
Posted: Thu Jun 06, 2024 10:38 pm
Hi,
I made a classifier using a subset of my data in CC but I am trying to use it on another similar large .pcd file (76 million points) which is not incredibly efficient on CC (takes a while and crashes every once in a while). I was reading through [https://lidar.univ-rennes.fr/en/3dmasc#p-138][/url] and saw that you can import it using cv2, but how would I go about applying the classifier? You probably need to load the point cloud using open3d and convert it to a NumPy array, but what about the features? After I've labelled all the points, how do I create the new point cloud object with labels? I've looked a bit but haven't found such a guide or existing implementation for 3DMASC so any help would be appreciated.
I made a classifier using a subset of my data in CC but I am trying to use it on another similar large .pcd file (76 million points) which is not incredibly efficient on CC (takes a while and crashes every once in a while). I was reading through [https://lidar.univ-rennes.fr/en/3dmasc#p-138][/url] and saw that you can import it using cv2, but how would I go about applying the classifier? You probably need to load the point cloud using open3d and convert it to a NumPy array, but what about the features? After I've labelled all the points, how do I create the new point cloud object with labels? I've looked a bit but haven't found such a guide or existing implementation for 3DMASC so any help would be appreciated.