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PrathamSoni avatar PrathamSoni commented on September 15, 2024 1

Fix was merged.

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PrathamSoni avatar PrathamSoni commented on September 15, 2024

This is due to an error in the model.py under the predict method. When the dimensions of the original image do not line up with the "img_size" the bottom right corner is not calculated. add this code to the predict method to fix the issue
if (x.shape[0]%self.img_size != 0 and x.shape[1]%self.img_size != 0):
tmp = self.sess.run(self.out,feed_dict={self.input:[x[-1*self.img_size:,-1*self.img_size:]]})[0]
tmp_image[-1*tmp.shape[0]:,-1*tmp.shape[1]:] = tmp

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Ivan-Zhao avatar Ivan-Zhao commented on September 15, 2024

Another problem,how to set learning rate?

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jmiller656 avatar jmiller656 commented on September 15, 2024

@PrathamSoni Thanks again, please view my comment on your pull request.

@Ivan-Zhao learning rate can be set in the code where AdamOptimizer is initialized. If you'd like, I can create a command line argument for it instead

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matt-dong avatar matt-dong commented on September 15, 2024

I am also having this issue but I fixed it with the above code. This is an example of the issue.
outoutput

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