run.py has some detail to modify
l2009312042 opened this issue · 0 comments
l2009312042 commented
1、TOFlow(intPreprocessedHeight, intPreprocessedWidth,'interp', cuda_flag=CUDA)
need to add interp
2、at function Estimate ,should add the following respect
inTensor = torch.cat((tensorPreprocessedFirst.unsqueeze(0),tensorPreprocessedSecond.unsqueeze(0)), 1)
tensorFlow = torch.nn.functional.interpolate(
input=net(inTensor),
size=(intHeight, intWidth), mode='bilinear', align_corners=False)
and i test some pics ,especially at the edge ,the artifact is obvious ,this flow based method is not well enough