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Project Summary

This project presents a common technique for converting colored images to their grayscale representation using CUDA enabled GPUs to speed up processing.

This multi-platform implementation uses OpenCV for managing image files, while the conversion algorithm takes into consideration different weighting of the color channels for a more effective representation of the colored image.

Tags

cuda gpgpu gpu grayscale imageprocessing opencv

In a Nutshell, cuda-grayscale...

This Project has No vulnerabilities Reported Against it

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Languages

Languages?height=75&width=75
XML
43%
C++
38%
CUDA
9%
2 Other
10%

30 Day Summary

Apr 10 2016 — May 10 2016

12 Month Summary

May 10 2015 — May 10 2016

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