CloudCompare forum

Wow, thanks for the answer!
I didn't get that the first time, but it totally makes sense!

Hi everyone, I'm having trouble with the RGB feature in the parameter file. I couldn't find an example in the parameter file given on the website (https://lidar.univ-rennes.fr/en/3dmasc), so I tried a few things, but nothing worked. For example: Feature: RGB_SC0_PC1 # color of each point Feature: R,...

Hi, Thank you for this powerful tool that helps me with my master's project. Nevertheless, I still have some questions: I noticed even though I created my classifier using the command line: PC1_SS_R0.5 to use only half of the points in the cloud as core_points, this command line disappears when I sa...

As I understand, for the training phase of 3DMASC, we need a classified point cloud. In his tutorial videos, M. Kharroubi (previous post: https://www.linkedin.com/pulse/automatic-lidar-classification-made-easy-cloudcompare-abderrazzaq) uses a cloud already well classified, to train his classifier. T...

Hi Daniel, Considering what you said about taking the cloud with higher density as the reference in C2C, should we do the same with M3C2? I'm wondering what I should put as Cloud #1 and Cloud #2 in the M2C3 distance window if one of my clouds is around 2 times denser than the other. Does it make a d...

Hi Daniel, I'm using CloudCompare v2.13 alpha [64 bit]. Yes, if I use a smaller part of my point cloud, the same issue happens. On the other hand, I have another classifier (with less class) that works very fine with the smallest cloud, but shows the same "not enough memory" issue with the...

Hi, I'm using the Classifier I trained via CANUPO with a point cloud, and after running the CANUPO- Classify plugin, CC sends me this "error: Not enough memory" message. It's weird because I have plenty of space on my computer's memory. Also, the point cloud doesn't seem that heavy (47, 54...