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Published 20 hours ago • verified publisher icon twhui
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LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation, ECCV 2020

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Report Error: CUDNN_STATUS_BAD_PARAM

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when run this command python test_batch.py img1.txt img2.txt results it reports error message: Check failed: status == CUDNN_STATUS_SUCCESS (3 vs. 0) CUDNN_STATUS_BAD_PARAM Can you help me with this problem? Thanks

StrugglingForBetter avatar StrugglingForBetter

Can this model be used for optical flow direction classification in consecutive frames?

zckcola avatar zckcola

caffe bin = 'bin/caffe.bin'

hi How does this line work? caffe bin = 'bin/caffe.bin' Where do I get the cafee.bin file?

amirengineer69 avatar amirengineer69

Is it possible to convert the .caffemodel to .h5 ? how can I do it ?

1 comment

I would love to know this

cfa19 avatar cfa19

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LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation, ECCV 2020

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