Oh, Thank you~ Sorry that I forget to mention about that. I think I had used the same pre-processing on the image data, including: 1) change BGR to RGB, 2) rescale the image by 255, 3) resize the image, 4) change the dimension order  of the image (from “heightwidthchannal” to “chanalheightwidth”), 5) normalize the image (mean = [0.485, 0.456, 0.406], and std =  [0.229, 0.224, 0.225]).
And by the way, yes I use the same data, the model was trained on ImageNet and I also use ImageNet to fine-tuning the net