opencv gpu cuda项目整理
【摘要】 光流算法：
GPU based optical flow extraction in OpenCV
https://github.com/feichtenhofer/gpu_flow
不是gpu的光流算法：
https://github.com/gurkirt/optical-flow
...
光流算法：
GPU based optical flow extraction in OpenCV
https://github.com/feichtenhofer/gpu_flow
不是gpu的光流算法：
https://github.com/gurkirt/optical-flow
gpu测试：
https://github.com/ariandyy/gpu_testing
多尺度检测：
Python OpenCV GPU Face Detection
视频稳像：
https://github.com/alexanderkoumis/opencv-gpu-py
cpu/gpu性能比较
https://github.com/rsteiger/opencv_surf_performance
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+=====================================================+
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| CPU |
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+=====================================================+
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| Total Feature Detection Time: 13.81 s |
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| Average Feature Detection Time: 575.26 ms |
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| Total Descriptor Extraction Time: 23.05 s |
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| Average Descriptor Extraction Time: 960.42 ms |
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| Total Calculation Time: 36.86 s |
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| Average Calculation Time: 1535.69 ms |
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+=====================================================+
-
| GPU |
-
+=====================================================+
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| Total Feature Detection Time: 2.12 s |
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| Average Feature Detection Time: 88.38 ms |
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| Total Descriptor Extraction Time: 1.09 s |
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| Average Descriptor Extraction Time: 45.23 ms |
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| Total Calculation Time (including bus): 19.03 s |
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| Average Calculation Time: 792.97 ms |
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+=====================================================+
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| Comparison |
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+=====================================================+
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| GPU Feature Detection Speedup: 6.51 x |
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| GPU Descriptor Extraction Speedup: 21.24 x |
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| GPU Combined Speedup: 11.49 x |
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| GPU Overall Speedup: 1.94 x |
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+=====================================================+
实时对数极性滤波
https://github.com/tremalnaik/real_time_log_polar_filtering
OpenCV GPU Module Benchmark
https://github.com/Yougmark/opencv_gpu_benchmark
这个有makefile
基于OpenCV的图像边缘检测，用于测试使用gpu能多大程度上加快图像处理
https://github.com/SongWalker/testCanny
object-detect
https://github.com/bokiscout/object-detect
Image Processing on GPU using OpenCV
https://github.com/tejusp/Image-Processing-on-GPU-using-OpenCV
文章来源: blog.csdn.net，作者：网奇，版权归原作者所有，如需转载，请联系作者。
原文链接：blog.csdn.net/jacke121/article/details/56055007
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