We need to start supporting multiple segments by one-hot encoding, multi-channel model outputs, and softmax instead of sigmoid final activation. Robert tried this on his dataset by modifying our code, and he says it was quite simple to do.
I think Single Slice Segmentation exports different segments as different values, so that may need to be converted to one-hot encoding later by one of the scripts. The safest place to do this would be in the training script. But we may need to modify the prepare_data script too. Multi-value segmentation arrays should only be resized using nearest neighbor interpolation. Standard image resize functions can interpolate between values (if a new pixel position falls between two old pixel positions). But interpolated non-integer values cannot be later converted using one-hot encoding.
We need to start supporting multiple segments by one-hot encoding, multi-channel model outputs, and softmax instead of sigmoid final activation. Robert tried this on his dataset by modifying our code, and he says it was quite simple to do.
I think Single Slice Segmentation exports different segments as different values, so that may need to be converted to one-hot encoding later by one of the scripts. The safest place to do this would be in the training script. But we may need to modify the prepare_data script too. Multi-value segmentation arrays should only be resized using nearest neighbor interpolation. Standard image resize functions can interpolate between values (if a new pixel position falls between two old pixel positions). But interpolated non-integer values cannot be later converted using one-hot encoding.