The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".
I have installed the repo using the Dockerfile you have upload. Although i have some problems with the first hands-on experience of the repo.
Inference: i run both commands of the documentation but the output neither is visualized nor saved somewhere so i can see it after the run.
In every "python3 train.py ..." command i receive an assertion error. Reading the error the flow_datasets.py cannot have the samples for either training or validation testing.
Why do i have these kind of problems? Does the datasets import in the testing process work wrong and i have to change something or have all the datasets locally saved?
Why don't i see the output of the inference test?
I have installed the repo using the Dockerfile you have upload. Although i have some problems with the first hands-on experience of the repo.