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tensorflow implementation of Grad-CAM (CNN visualization)

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Due to popularity of inception network, let's see if it is possible visualizing inception network with GradCAM.

May I ask if you have solved the problem“'numpy.ndarray' object has no attribute 'add_patch'”?I have the same problem

How can we implement grad cam or any kind of visualization in efficientdetD0 model?? Is there any code or suggestion??

i'm trying to do guided backpropogation on mobilenet using your code with tensorflow 1.14. unfortunately, tensorflow does not reposnd to the override you suggested: @ops.RegisterGradient("GuidedRelu") def _GuidedReluGrad(op, grad): return tf.where(0....

can i add bounding box to Gard-CAM is that possiple ? and if it's how can i how can I know the coordinates of that bounding box?

Hi, @insikk As a result of classifying with Resnet, Accuarcy is over 99%. If you hit map the object area with gradCAM with that model file, it does not match...

Hi Insik Firstly, thanks for implementing Grad-Cam. When I played around with the Resnet50 notebook I noticed that the prediction results change if you change the order of the images...

grad-cam visualization is good because it does not force model to be in a certain way. However, current implementation is heavily coupled with inference model. It prevents users to easily...