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Is it possible for a feature map that doesn't have any positive related information to the targeted class? As for now, my situation is that the result at that feature map returns all negative values f…
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Dimension of prediction's output is (number of images, number of classes) while filter_display is looking for a 4D array.
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I have a problem with the input. I have built a model based on the Yolov3 structure that uses tfrecords as input. Currently I have the requirement that I cannot pass a numpy array. Naive I tried to us…
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In the `heatmap_display` function, `original_image` is assumed to be [0, 255]. For GradCAM, when running `explain`, the original image is passed to the model as well as `heatmap_display`. However, if …
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Hello.
Thank you for sharing your work.
I'm studying deep learning in fastai course and trying to visualize my DL model.
I found your work about Grad-CAM and guided Grad-CAM visualization in the f…
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Hello,
I have a CNN with custom convolutional layers and the name of those layers are not instances of `tensorflow.python.keras.layers.convolutional`
Therefore, the function `_find_penultimate_o…
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The following is the model:
```
base_model = tf.keras.applications.vgg16.VGG16(weights='imagenet', include_top=False, input_shape = (48,52,3),classes = 11)
inputs = tf.keras.Input(shape=(48,52,3))
…
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I am not sure which layer should be selected when using gradCAM.
This is my model description (from a YOLOv3 example - repo: https://github.com/YunYang1994/TensorFlow2.0-Examples/tree/master/4-Obje…
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Hi. can you tell me , how to get heatmaps when pooling is avg_max?
is it correct to take the last convolution layer of the backbone and use its gradient and activations to generate heatmap?
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1. guided gradient
2. gradcam