Comments (2)
In the kth_dataset.py
script, you can preprocess to 128x128 images by passing the flag --image_size 128
. The kth script assumes that the images are grayscale so it only keeps one of the channels, which you might not want to do for your dataset.
The model should already work for 128x128 images, but it uses a lot of memory. I haven't tried much architectures for 128x128 resolution so you might want to adjust the layer specification so you end up using less memory.
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Got it. Thanks!
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Related Issues (20)
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