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Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA
book

Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA

by Bhaumik Vaidya
September 2018
Intermediate to advanced
380 pages
9h 40m
English
Packt Publishing
Content preview from Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA

Histogram calculation in PyCUDA

The histogram of an image conveys important information related to the contrast of an image, and it can also be used as an image feature for computer vision tasks. A histogram indicates the frequency of the occurrence of a particular pixel value. While calculating the histogram of an 8-bit image that is 256 x 256 in size, the 65,535-pixel values will work on arrays of intensity values from 0-255. If one thread is launched per pixel, then 65,535 threads will work on 256 memory locations of intensity values.

Consider a situation in which a large number of threads try to modify a small portion of memory. While calculating the histogram of an image, read-modify-write operations have to be performed for all memory ...

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Publisher Resources

ISBN: 9781789348293