Open Tina1994 opened 4 years ago
Hi,
after a shape is recognized the input point cloud is reordered and the assigned points of the recognized shape are swapped to the end of the point cloud. So if your input point cloud has n points and your recognized shape has k points you can find the first point at point cloud[n-k] and the last point at point cloud[n]. After the first shape is recognized the points of the second shape are arranged at the end of the point cloud but before the first recognized shape.
You can find an example of how to implement this in the CloudCompare implementation.
For visualization you could use open3d and trimesh for python.
Hi,
after a shape is recognized the input point cloud is reordered and the assigned points of the recognized shape are swapped to the end of the point cloud. So if your input point cloud has n points and your recognized shape has k points you can find the first point at point cloud[n-k] and the last point at point cloud[n]. After the first shape is recognized the points of the second shape are arranged at the end of the point cloud but before the first recognized shape.
You can find an example of how to implement this in the CloudCompare implementation.
For visualization you could use open3d and trimesh for python.
Updating the path: https://github.com/CloudCompare/CloudCompare/blob/master/plugins/core/Standard/qRANSAC_SD/src/qRANSAC_SD.cpp
Somebody knows how to address the pointer in shapes[i].first to save its content into a new variable ?
Example Vec3f myValue; myValue = *shapes[0].first;
Hello, I have some question with how to visualize the detection result. We can see how many points in the different type shapes, but can not see which points are in which shape? Does there any code on this repo to do this work?