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James Bowley

Parallel Vision

  • About me
  • CUDA
    • Accelerating OpenCV with CUDA streams in Python
    • OpenCV 3.4 GPU CUDA Performance Comparison (nvidia vs intel)
    • OpenCV MKL/TBB vs cuBLAS
    • Learning CUDA and the fundamentals of parallel programming
    • Build OpenCV with CUDA in Windows
  • AI
    • Installing Keras with Theano on Windows for Practical Deep Learning For Coders, Part 1
  • OpenCV
    • Accelerate OpenCV 4.5.0 on Windows – build with CUDA and python bindings
    • OpenCV MKL/TBB vs cuBLAS
    • Accelerating OpenCV with CUDA streams in Python
    • OpenCV 3.4 GPU CUDA Performance Comparison (nvidia vs intel)
    • Build OpenCV with CUDA in Windows
  • Downloads

Category: CUDA

Installing Keras with Theano on Windows for Practical Deep Learning For Coders, Part 1

Posted July 31, 2017September 22, 2017 ParallelVision2 CommentsPosted in AI, CUDA

The below instructions should have you set up with both Keras 1.2.2 and theano 0.9 on Windows 8.1 in 30 minutes or less, depending on the speed of your internet connection. I can confirm that this set up is suitable for all the lessons in the fantastic Practical Deep Learning For Coders, Part 1, course. […]

Build/Compile OpenCV v3.2 on Windows with CUDA 8.0 and Intel MKL+TBB

Posted January 14, 2017September 23, 2017 ParallelVision64 CommentsPosted in CUDA, OpenCV

    OpenCV 3.3 was released on 03/08/2017, go to Building OpenCV 3.3 on Windows with CUDA 8.0, Intel MKL+TBB and python bindings, for the updated guide.   Because the pre-built Windows libraries available for OpenCV v3.2 do not include the CUDA modules, I have provided them for download here, and included the build instructions […]

Learning CUDA and the fundamentals of parallel programming

Posted December 24, 2016November 15, 2017 ParallelVision5 CommentsPosted in CUDA

After teaching myself CUDA, luckily for me I started on the more recent SDK’s, I wanted to share my experience regarding some of the most useful resources available, to help anyone interested in accelerating their own algorithms, to be as productive as possible. In my opinion the fastest way to learn GPU programming with CUDA, […]

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Categories

  • AI
  • CUDA
  • OpenCV

Contact

mail@jamesbowley.co.uk
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