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Published 20 hours ago • verified publisher icon ry

Question about mean subtract

Open jamesclyeh opened this issue 8 years ago • 2 comments

How come cafe model uses the mean subtracted image, while tensorflow model uses the original image? caffe_model = load_caffe(img_p, layers) vs. o = sess.run(i, {images: img[np.newaxis, :]})

I dont see _imagenet_preprocess() being used anywhere

I think you may have unintentionally deleted image net preprocessing in this commit https://github.com/ry/tensorflow-resnet/commit/6b42dfa6983bab0a2c1220f48dd451a63b803032

jamesclyeh avatar Dec 31 '16 16:12 jamesclyeh

To me it looks like those commands are baked into the network loaded in forward. It does bgr to rgb, scaling, and mean subtraction.

danielgordon10 avatar Jan 24 '17 19:01 danielgordon10

Yes I guess that is true, but that may be because the network was trained when the mean subtraction was still there. If you train from scratch and save now, mean subtraction is probably not there.

jamesclyeh avatar Jan 25 '17 22:01 jamesclyeh