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Create keras callbacks to generate visualizations while training in keras. It would be pretty neat to have:
* Tensorboard callback to push visualization images of choice every_x epochs of training.…
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Now I want to create the Grad-CAM of this model, like the figure 1 in your TPRO paper. But I don't know which layer to choose to create the Grad-CAM. Could you tell me how to create the activation map…
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Hi,
This demonstration only provides the processed Class Activation Maps (CAM), and I have no idea how CAM works, especially the robust version of CAM.
So could you provide the source code for CAM p…
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Adding a sample training notebook (preferably on each network) on Imagenette demonstrating some different techniques. For example, different optimizers, transfer learning, distillation etc.
Open to …
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````
def segnet_graph(input_tensor, num_seg_class, train_bn=True):
N2, N3, N4, N5 = input_tensor
deconv = KL.Conv2DTranspose(256, (2, 2), strides=2,activation="relu",name="seg_deconv_a")(…
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Thank you for maintaining ideas of keras-vis 🙏
I'm currently trying to inspect my CNN and it seems like here is the minimal amount of code it's needed to plot feature maps:
It seems to be po…
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Hello !
I am developing my master's degree dissertation and I would like to used GRAD CAM or other class activation maps to corroborate the test results of my object detection model (YOLOv4).
Us…
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and f…
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Hi @jacobgil , I want to convert grad-cam from pytorch to tensorflow but I don't know how do that. Can you help me suggest how to make? thanks very much
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Nice Work. In the code you get the cam using only one Conv2d layer. According to my intuition, here should not use a method like GradCAM to get CAM. And I also see this process in other place. Can you…