yassineyousfi / alaska Goto Github PK

The program 'tf_fine_tune_branch.ipynb' works fine for training 'YCrCb', but when I change it to 'Y', the program gives error:

InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [3,3,3,64] rhs shape= [3,3,1,64]
[[node Assign_2 (defined at ..\tools\train_estimator.py:124) ]]

I am having issues installing/compiling the JPEG Toolbox on my Windows 10 machine despite having all dependencies. Is there any way you could build wheel packages for the toolbox or if there is requirements that aren't listed I might not have installed.

In this file: "tf_extract_features_color_separated.ipynb" which is for test, the variable stego_schemes includes only steganography methods, not "COVER":

stego_schemes = ['EBS', 'JUNI', 'NSF5', 'UED']

The variable "logits" as the output of test:

logits = sess.run(y, feed_dict={x: test_feature_map})

includes 5 numbers.

How "stego_schemes[np.argmax(softmax(logits))]" can give "COVER" as the output while we don't have it in the list in "stego_schemes "?

Now when I use Models (QF=95) and the image file "iPAD-pro-7.1-13inch_2065.jpg", I always get "JUNI" as result. It doesn't matter the input is COVER, EBS, JUNI, NSF5 or UED.

http://alaska.utt.fr/alaska1 link throws 502 Bad Gateway Error

After cloning the repo, I've compiled jpeglib on MacOS. I can import tools.python3_jpeg_toolbox as jpeglib. However when testing to call jpeglib.jpeg("temp.jpg"), I got the crash. Did you face it as well?