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Size of Input Images for Using Pre-Trained Model #10

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ahkarami opened this issue Jan 30, 2018 · 2 comments
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Size of Input Images for Using Pre-Trained Model #10

ahkarami opened this issue Jan 30, 2018 · 2 comments

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@ahkarami
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Dear @layumi,
Thank you for your nice work. I have a question. What is the correct size of input image, If one want to use your released pre-trained model (i.e., for forward pass & feature extraction of input image)? I mean (256,128) or (288,144)?

@layumi
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layumi commented Jan 30, 2018

Hi @ahkarami
When training, we crop (256,128) from (288,144).
When testing, since we have global pooling, directly using (288,144) can yield the better performance.

@ahkarami
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Thank you.

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