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This will allow us to make the decision on whether or not to JIT compile specific layers
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Would it be possible to include default metrics in Keras for image segmentation? E.x Dice, IoU, HD, etc.
I tried this:
```
from keras_core import backend as K
def jaccard_distance_loss(y_t…
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Hello,
I would like to make a code example on KerasCV DropBlock2D Layer and its regularization impact in training convolutional neural networks.
If this would be a nice thing to have on keras.io…
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Your work is of great academic value and significance, and I am very grateful for the contributions you have made. I would like to ask you about the specific operational steps for implementing the Gra…
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I wonder how I can implement a F1score class that inherits from tf.keras.metrics.Metric so that I can use this class to calculate F1score in a custom training loop.
In the following code segment, I…
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The augment_bounding_boxes should be implemented for RandomTranslation Layer in keras_cv. The PR should contain implementation, test scripts and a demo script to verify implementation.
Example code…
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The augment_bounding_boxes should be implemented for CenterCrop Layer in keras_cv. The PR should contain implementation, test scripts and a demo script to verify implementation.
Example code for im…
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Augmentation will obviously slow down training, but it shouldn't be a 6-fold slowdown. This happens with the `RandomContrast` layer, which makes the training per epoch grow from ~100s to ~600s.
I'd…
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**Running in colab.**
I am getting a strange error here when I am using `git clone` for keras-cv and `pip install` for keras-core.
```
!pip install -qq git+https://github.com/keras-team/keras-…
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