Attack failed about mtcnnattack HOT 11 CLOSED

That patches do not look ok to me, too frequent texture, you have likely done something wrong, check with the patches given in a repo, they have a different look

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@edosedgar yeah.. I did everything according to your code.. tried for higher epochs, but still not getting good results.

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It looks like you did not implement the resize function, please read the README carefully. It is important that optimization takes place with three downscaled pictures.

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@edosedgar, why I need to change the resize function ?

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Well, since I used the internal Huawei implementation of INTER_AREA resize function (which is supposed to be differentiable), I removed it from the repo.

Refer to this part https://github.com/edosedgar/mtcnnattack/blob/master/utils/inter_area.py

You might try to go with the other resize functions (like simple bi-linear and even nearest neighbors). It should also work. Actually the resize function passes the image further on w/o any resizing now, which is not to going to work.

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@edosedgar If you have removed that from repo, how are results good with your input images ?

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I ran the experiments with the internal implementation I have on my local version of the repo.
Try to use the tf built-in resize function with linear interpolation.

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@edosedgar I try to use the tf built-in resize function : whole = tf.image.resize_images(im_inp, [hs, ws], method=1), but the patchs like this

when I try to use inter_area I got : LookupError: No gradient defined for operation 'resize_area/resize/ResizeArea' (op type: ResizeArea) it seems not differentiable

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I fixed it by this repo.
https://github.com/Polkach/cv-inter_area-on-tensorflow

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@edosedgar I try to use the tf built-in resize function : whole = tf.image.resize_images(im_inp, [hs, ws], method=1), but the patchs like this
when I try to use inter_area I got : LookupError: No gradient defined for operation 'resize_area/resize/ResizeArea' (op type: ResizeArea) it seems not differentiable

Specify a linear interpolation or use the code snippet given above by @guoth

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I fixed it by this repo. https://github.com/Polkach/cv-inter_area-on-tensorflow

Did you succeed in the end?

I put inter_ Replace the area code with the Inter in the link you provide_ Area, no confrontation patch can be generated in the digital domain

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