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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!
Thank you for your kind response. I do have a few more questions: I see that the flow files contain numpy arrays with shape for eg. (4691,2). 1) The 2 values for each row represent the velocity on both x and y axes? 2) Is there a way to link the flow with the voxel it represents? Is there a way to find out the flow for a specific voxel, from the ground truth provided? Thank you!
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tongwwt commentedon Dec 10, 2023
cbiras commentedon Jan 8, 2024
Thank you for your kind response. I do have a few more questions: I see that the flow files contain numpy arrays with shape for eg. (4691,2). 1) The 2 values for each row represent the velocity on both x and y axes? 2) Is there a way to link the flow with the voxel it represents? Is there a way to find out the flow for a specific voxel, from the ground truth provided? Thank you!