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Accuracy of OpenCV DeepFlow V.S. FlowNet 2.0

FlowNet 2.0 seems to be widely used and regarded as the state of the art (?) in the community. I am wondering if anyone can provide any insights on its accuracy comparing to DeepFlow in OpenCV. Setting up a working python environment or making the pre-trained flownet 2.0 model work with OpenCV's DNN module is not so straight forward for me. I am wondering if it's worth the effort to figure them out.