A label file such as \train\scene-0001\000_occ.npy contains a np array with a shape of (39068,2). I have a few questions about this array. 1) Considering that the voxel space is (200,200,16), the 39068 points from the array represent occupied voxels from the 640000 total voxels?
2) I want to train a network that will use labels of shape (200,200,16), is there a place in the code where you translate the (39068,2) labels to the full voxel space?
3) Is there a way to extract only the voxels visible to the FRONT camera, in case I want to predict only the front scene, and not the whole surround scene?
Thank you!
A label file such as \train\scene-0001\000_occ.npy contains a np array with a shape of (39068,2). I have a few questions about this array. 1) Considering that the voxel space is (200,200,16), the 39068 points from the array represent occupied voxels from the 640000 total voxels?
2) I want to train a network that will use labels of shape (200,200,16), is there a place in the code where you translate the (39068,2) labels to the full voxel space?
3) Is there a way to extract only the voxels visible to the FRONT camera, in case I want to predict only the front scene, and not the whole surround scene?
Thank you!