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How to configure opencv 3 with GPU Support, Cuda 9.0, Ubuntu 16.04?

I am working with this large data set of around 40,000 images. I find that reading the images in OpenCV takes too much time. I have access to an NVidia GTX 1080, and would prefer to run the imread on the GPU instead as I believe it would be faster. I have installed CUDA 9.0, CuDNN 8.0, and libcupti, which is necessary for Tensorflow-GPU, and also want a means to use GPU with OpenCV commands like imread. I noticed that some Github links offer instructions for OpenCV-GPu with CUDA 8.0, and since I have CUDA 9.0, I don't believe those will suit my case.

Any help/advice would be greatly appreciated.

How to configure opencv 3 with GPU Support, Cuda 9.0, Ubuntu 16.04?

I am working with this large data set of around 40,000 70,000 images. I find that reading the images in OpenCV takes too much time. I have access to an NVidia GTX 1080, and would prefer to run the imread on the GPU instead as I believe it would be faster. I have installed CUDA 9.0, CuDNN 8.0, and libcupti, which is necessary for Tensorflow-GPU, and also want a means to use GPU with OpenCV commands like imread. I noticed that some Github links offer instructions for OpenCV-GPu with CUDA 8.0, and since I have CUDA 9.0, I don't believe those will suit my case.

Any help/advice would be greatly appreciated.

How to configure opencv 3 with GPU Support, Cuda 9.0, Ubuntu 16.04?

I am working with this large data set of around 70,000 images. I find that reading the images in OpenCV takes too much time. I have access to an NVidia GTX 1080, and would prefer to run the imread on the GPU instead as I believe it would be faster. I have installed CUDA 9.0, CuDNN 8.0, and libcupti, which is necessary for Tensorflow-GPU, and also want a means to use GPU with OpenCV commands like imread. I noticed that some Github links offer instructions for OpenCV-GPu OpenCV-GPU with CUDA 8.0, and since I have CUDA 9.0, I don't believe those will suit my case.

Any help/advice would be greatly appreciated.