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I was wondering how difficult it would be to adjust your code to run on the plaidml backend (https://github.com/plaidml/plaidml), which supports AMD GPUs on Mac. plaidml is currently only compatible with Keras 2.0.8, and it seems that some of your code would need to be adapted. There are also a few lines of code that use the tf backend and not the keras backend in the model.py file, i.e. in the yolo_eval and yolo_loss functions. Compared to other implementations of yolo in keras, your code seems to be much closer to be compatible with plaidml.
The text was updated successfully, but these errors were encountered:
I was wondering how difficult it would be to adjust your code to run on the plaidml backend (https://github.com/plaidml/plaidml), which supports AMD GPUs on Mac. plaidml is currently only compatible with Keras 2.0.8, and it seems that some of your code would need to be adapted. There are also a few lines of code that use the tf backend and not the keras backend in the model.py file, i.e. in the yolo_eval and yolo_loss functions. Compared to other implementations of yolo in keras, your code seems to be much closer to be compatible with plaidml.
The text was updated successfully, but these errors were encountered: