Leon

> > Requirement already satisfied: pbr>=0.11 in /home/zhaolai/anaconda3/envs/leon-py3/lib/python2.7/site-packages (from mock>=2.0.0->tensorflow-gpu->-r requirements-gpu.txt (line 27)) (4.2.0) > keras-preprocessing 1.0.1 has requirement keras>=2.1.6, but you'll have keras 2.1.3 which is incompatible. > keras-applications...

this is caused by code bug: `im.save('deblur'+image_path)` actually no `deblur` directory. just modify it to local path to solve the problem. and the `image_path` should not be a specific file...

 hi, aswinthomas, I have CUDA setup successfully, and with GeForce GT730 Nvidia card, but the frame rate is still very low, like above. what's the reason...

my computer status: ubuntu 14.04 LTS GeForce GT730 Nvidia card; CUDA 6.5 opencv 2.4.9

Change "insert" to StdEdgeTable::insert. you will compile through.

my opencv cannot compile through under having CUDA environment... why?

I solved the problem, opencv is not work with CUDA 6.5, this is opencv bug, it is already resolved. please see detail info belows. http://code.opencv.org/projects/opencv/repository/revisions/feb74b125d7923c0bc11054b66863e1e9f753141

hi, dear kevinmpeterson, I have CUDA setup successfully, and with GeForce GT730 Nvidia card, but the frame rate is still very low, like above. what's the reason of it? can...

it just the compiling procedure. You will come across many other errors like this. Let's discuss and solve it.

you're a super man.. you can find this... surprise..