I did have a question about the numpy arrays used for training, specifically the 'heatmap_xx.npy', 'zones_xx.npy', and 'instances_xx.npy' files. I've already found some information about the 'ParcelIDs_xx.npy' and 'target_xx.npy' files, but I was hoping you could provide me with some additional details on how the other files were created.
Thank you!
the heatmap.npy is the ground truth for centerness, computed as described in the paper
the zones.npy is the mapping pixel -> object, you can check this issue for more details on the computation
the instances.npy contains the instance ids of each pixel of a patch. (each object gets a random instance_id and all the pixels of that object share this instance_id).
Very well done job on the paper and the code!
I did have a question about the numpy arrays used for training, specifically the 'heatmap_xx.npy', 'zones_xx.npy', and 'instances_xx.npy' files. I've already found some information about the 'ParcelIDs_xx.npy' and 'target_xx.npy' files, but I was hoping you could provide me with some additional details on how the other files were created. Thank you!