Tensorflow and Darknet are deep learning frameworks that work and are configured. Can Darknet be Integrated differently? Is there any framework or way to integrate Darknet within a tfx pipeline, for both inferencing and training models? I do work with both frameworks and need to unify this work. For example, I may train my model in Darknet and make all the inference work in Tensorflow or vice versa.
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