opencv gpu cuda项目整理
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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
+=====================================================+ | CPU | +=====================================================+ | Total Feature Detection Time: 13.81 s | | Average Feature Detection Time: 575.26 ms | | Total Descriptor Extraction Time: 23.05 s | | Average Descriptor Extraction Time: 960.42 ms | | Total Calculation Time: 36.86 s | | Average Calculation Time: 1535.69 ms | +=====================================================+ | GPU | +=====================================================+ | Total Feature Detection Time: 2.12 s | | Average Feature Detection Time: 88.38 ms | | Total Descriptor Extraction Time: 1.09 s | | Average Descriptor Extraction Time: 45.23 ms | | Total Calculation Time (including bus): 19.03 s | | Average Calculation Time: 792.97 ms | +=====================================================+ | Comparison | +=====================================================+ | GPU Feature Detection Speedup: 6.51 x | | GPU Descriptor Extraction Speedup: 21.24 x | | GPU Combined Speedup: 11.49 x | | GPU Overall Speedup: 1.94 x | +=====================================================+
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
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