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This repository has been archived by the owner on Oct 18, 2019. It is now read-only.
I saw you resize the image to 256*256 in python script
but in line 6 of deploy.prototxt, input_param { shape: { dim: 1 dim: 3 dim: 224 dim: 224 } },
which means the input images should be 3 channels with size 224*224
so, what's the exactly right input size of the image?? 256 or 224??
Or I just misunderstood the python script and caffe structure??
The text was updated successfully, but these errors were encountered:
The resize to 256x256 and random crop to 224x224 is done during training for data augmentation. Refer the residual networks paper section 3.4. During runtime / test we take center crop after resize.
This is a very stupid question.
I saw you resize the image to 256*256 in python script
but in line 6 of deploy.prototxt, input_param { shape: { dim: 1 dim: 3 dim: 224 dim: 224 } },
which means the input images should be 3 channels with size 224*224
so, what's the exactly right input size of the image?? 256 or 224??
Or I just misunderstood the python script and caffe structure??
The text was updated successfully, but these errors were encountered: