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When I tested performance on sceneflow dataset, I encountered nan error in TEST/A/0149/left/0015.png.
I found that this image's gt disparity pfm have problem that all of its disparity is large than max_disp(192).So a division by zero error will occur. disp, height, width = readPFM("0015.pfm") print(disp)
The result of above code is zero.
The text was updated successfully, but these errors were encountered:
@zhou-frank@feihuzhang Hello, I also found this problem when evaluating by code "evaluate.py" with the provided pre-trained model "sceneflow_epoch_10.pth". So, how to fix this problem in the evaluation?
When I tested performance on sceneflow dataset, I encountered nan error in TEST/A/0149/left/0015.png.
I found that this image's gt disparity pfm have problem that all of its disparity is large than max_disp(192).So a division by zero error will occur.
disp, height, width = readPFM("0015.pfm") print(disp)
The result of above code is zero.
The text was updated successfully, but these errors were encountered: