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📚 Documentation Issue
Hi, I want to know whether we can build two dataloaders during training. For example, the one is the common dataloader by coco-dataset, another is the meta dataloader by cropping instances from the original images.
Can I implement meta dataloader while not disturbing original dataloader?
So the batched_inputs for the network should contain two elements, [N_d1, C, h1, w1] and [N_d2, C, h2, w2].
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documentationProblems about existing documentation or commentsProblems about existing documentation or comments