Eyal Gruss
Eyal Gruss
and the thing is that normalizing the gradients will always highlight something. but for finding negative evidence the magnitude is important
also: grads = grads / (np.max(grads) + K.epsilon()) in grad cam
@keisen so in the paper: guided grad cam = visualize_saliency(backprop_modifier='guided') * visualize_cam() this is different from the "guided grad cam" implied in keras-vis: visualize_cam(backprop_modifier='guided') you can see an example here:...
@thibtld thanks. i can confirm gradient_override_map now works for me with tf 1.15
Disruption of video frame order related to tf.browser.fromPixels(HTMLVideoElement) in recent Firefox
any news please? @rthadur @lina128
Disruption of video frame order related to tf.browser.fromPixels(HTMLVideoElement) in recent Firefox
@gaikwadrahul8 thanks for your kind followup. i can confirm that the issue was solved when going from firefox 107.0.1 (broken) to 108.0 (fixed; dec 2022) i tested with both tfjs...
fix here: https://github.com/eyaler/impersonator and colab: https://colab.research.google.com/github/eyaler/avatars4all/blob/master/ganozli.ipynb
notebook is currently broken due to changes of ubuntu/python versions and its compatibility with the project's cuda and pytorch versions. it getting hard to keep up with google constantly changing...
thanks! for now i am just doing something like: ``` sa = divsufsort(np.array([ord(c) for c in text])) trans = ''.join(text[sa[i] - 1] for i in range(len(sa))) index = list(sa).index(0) ```...
original pix2pix implementation does not have bn on last convolution