lliuz / ARFlow

The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".

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Train with my own dataset

sotomotocross opened this issue · comments

If i have my own unlabeled dataset (no ground truth) on which i want to train the ARFlow network.
How can i do it? Is there a rule of thumb of organizing the data in order to train the NN?

I have the same questions ,How can I train my own dataset.

I have same question too