Image Preprocessing for stated top5 accuracy

[fervorarc]

What image preprocessing was performed on the imagenet images to achieve the stated feedforward top5 accuracy?
E.g. resize uniformly to 256 at the smallest dimension, then center crop
I've had a tough time figuring this out, and any help would be much appreciated.
Many thanks!

[Cospel]

Hi, that will be great.

I cannot find this in the paper. Can authors please respond. I am trying to implement and train it from scratch in Tensorflow, but I am not sure what strategy did you used.

[itdxer]

FYI @fervorarc, @Cospel I found this information specified in caffe training file here:
https://github.com/DeepScale/SqueezeNet/blob/master/SqueezeNet_v1.0/train_val.prototxt

  transform_param {
    crop_size: 227
    mean_value: 104
    mean_value: 117
    mean_value: 123
}