搜索资源列表
Gpucv
- This sample code to calclate the optical flow. This program use the opencv and Gpucv. Gpucv is cuda program adapting opencv.-This is sample code to calclate the optical flow. This program use the opencv and Gpucv. Gpucv is cuda program adapti
ubuntuPopencv(GPU)
- 在linux环境下配置opencv(带GPU模块)，用户需要事先安装好cuda。-environment setting:opencv(GPU)+ubuntu
opencvPcuda.tar
- This code is implemented on platform cuda and openCV lib to detect of a given image
CUDA_RANSAC
- Linux下基于CUDA的RANSAC实现，可以转到windows下的VS2010下运行，需要OpenCV支持。可以支持64bit编译环境。具有很好的参考价值，需要花时间调试。-Based on Linux with CUDA RANSAC, you can go to run windows under VS2010, you need to OpenCV support. You can support 64bit build environment. Have a good referen
cuda_match
- 使用NVIDIA的CUDA并行架构下的模板匹配，效率比openCV的有很大提升-Template matching using the NVIDIA CUDA parallel architecture, enhance efficiency than openCV
hazy
- cuda并行计算去雾，在linux环境下，使用opencv库，nvcc hazy.cu 运行-cuda parallel computing to fog, in the linux environment, using opencv library, nvcc hazy.cu run
Distortion
- 这是利用神经网络来实现手写字符识别，起准确率已经达到99.26 ，可以继续调整参数达到更深层次的效果。需要自己搭建opencv环境。后期工作可以利用cuda对其更深层次的加速-This is achieved using a neural network handwritten character recognition, since the exact rate has reached 99.26 percent, can continue to adjust the parameters t
Gauss_Adjust_GPU
- 该算法基于opencv的自适应高斯滤波，并且使用CUDA（GPU）架构进行算法加速-The algorithm is based opencv adaptive Gaussian filter, and use CUDA (GPU) architecture to accelerate the algorithm
MeanFilter_GPU
- 该程序是基于CUDA架构的均值滤波程序，GPU加速，并且使用了opencv函数库-The program is based on the CUDA architecture mean filtering program, GPU acceleration, and use the opencv library
MedianFilter_GPU
- 该VC++程序是基于CUDA架构的中值滤波程序，GPU加速，并且使用了opencv函数库-The VC++ program is based on the CUDA architecture median filtering program, GPU acceleration, and use the opencv library
Sobel_GPU
- 该VC++ 程序是基于CUDA架构的sobel边缘检测程序，GPU加速，并且使用了opencv函数库-The program is based on VC++ CUDA architecture sobel edge detection procedures, GPU acceleration, and use the opencv library
Roberts_GPU
- 该VC++ 程序是基于CUDA架构的Robert边缘检测程序，GPU加速，并且使用了opencv函数库-The VC++ program is based on the CUDA architecture, Robert edge detection procedures, GPU acceleration, and use the opencv library
LoG_GPU-log
- 该VC++ 程序是基于CUDA架构的LOG边缘检测程序，GPU加速，并且使用了opencv函数库-The program is based on VC++ CUDA architecture LOG edge detection procedures, GPU acceleration, and use the opencv library
CUDA_ADD
- 利用cuda进行的简单的加法操作，需要opencv的支持-Cuda conducted utilizing simple addition, you need to support the opencv
cudaPopencvPc
- 在cuda+opencv环境下，C语言 real time dynamic tone mapping operator on gpu仿真代码-real time dynamic tone mapping operator on gpu
opencv_cuda-gaussion-filter
- 实现cuda——opencv版本的图像高斯模糊-realize the gaussion filter with cuda c and opencv
opencv-and-cuda-image-process
- cuda7.5+vs2010+openCV2.4.9联合编译，二值化用的最简单的方法，随便选了一个阈值，有需要的可以自己更该算法-cuda7.5 combined withvs 2010 and openCV2.4.9
AIcourse2016
- 边缘检测，基于opencv 、vs2010、cuda的图像边缘检测- edge detection
Hands-On-GPU-Accelerated-Computer-Vision-with-OpenCV-and-CUDA-master
- Hands-On-GPU-Accelerated-Computer-Vision-with-OpenCV-and-CUDA-master源码