sct_deepseg_gm: Removed restriction on the network input size (small inputs): Fixes bug that appeared when inputting images with small FOV #1877
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… volumes (usually cropped).
perone
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I just realized that given that I can dynamically change the TensorFlow model input size for that particular model architecture that I'm using, it makes it possible to handle input sizes smaller than the sizes that the network was trained on by avoiding padding.
This PR removes the restriction error that we had for smaller volume sizes (after resampling), that was usually thrown when the user inputs a cropped volume. That shouldn't be an issue anymore because now the network input size is dynamically resized (a property of the ASPP architecture allow that). For larger sizes, the process continues the same, with the traditional cropping.