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about inference image shape #7
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I use im2rec in MXNet to generate images based according to #4 , then choosing choose resize=320 will yield default image size as 320*320. Also you could set resize=224 when doing .rec file generation. But still I cannot reproduce the results mentioned in the README and the Top-1 error is usually lower by around 1% and Top-5 errors is lower by 0.2%, I try to boost the accuracy by center croping but I don't know how to reproduce the similar result. @cypw Could you give us more hints? |
@whcacademy Please set the Note that: By setting |
Sorry for ignoring import comments in that file. Thanks! |
In scope.py, the shape of input image is [3, 320, 320] during inference step, i want to know how did you do it?
I saw you use ImageRecorderIter to preprocess the input images, does it just resize the image into [3, 320, 320], or some other operations?
Thx for your help!~~
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