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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 text was updated successfully, but these errors were encountered:
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!
The text was updated successfully, but these errors were encountered: