OpenCL-convolution

Image convolution with a custom matrix using OpenCL computing and GPU utilization.

• multiplatform execution
• maximum GPU utilization
• webcam image usage

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

The initial example requires OpenCV library to capture a raw image that will be used as an input source for a convolution. If you do not have OpenCV you can use any other image with one color channel. Also, you have to and OpenCL framework to your liker arguments if it is required.

Do not forget to install GPU drivers to be able to use OpenCL. Sometimes, generic drivers do not support OpenCL.

Change image resolution if you need it.

int width = 640,height = 480;      // change it to yours one

If you do not want to use OpenCV you need to delete loop scopes and replace following code with data array of your image.

 cv::VideoCapture cap(0);
    if (!cap.isOpened())
    {
        std::cout << "cam open fail" << std::endl;
        return -1;
    }
    cap.set(CV_CAP_PROP_FRAME_HEIGHT, 120);
    cap.set(CV_CAP_PROP_FRAME_WIDTH, 70);
    
    cv::Mat frame, frameGray;
 cap >> frame;
        cv::cvtColor(frame, frameGray, CV_RGB2GRAY);
        data = frameGray.data;

Deployment

Any C++ compiler with C++11 standard or higher.

Built With

• OpenCL - The cross-platform framework using for a parallel computing
• OpenCV - The library of programming functions mainly aimed at real-time computer vision.

License

This project is licensed under the GNU GENERAL PUBLIC LICENSE Version 3 - see the LICENSE.md file for details.