visioncpp/examples/greyscale.cpp at master · codeplaysoftware/visioncpp · GitHub

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// This file is part of VisionCpp, a lightweight C++ template library

// for computer vision and image processing.

// Contact: visioncpp@codeplay.com

// Licensed under the Apache License, Version 2.0 (the "License");

// you may not use this file except in compliance with the License.

// You may obtain a copy of the License at

// http://www.apache.org/licenses/LICENSE-2.0

// Unless required by applicable law or agreed to in writing, software

// distributed under the License is distributed on an "AS IS" BASIS,

// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

// See the License for the specific language governing permissions and

// limitations under the License.

/// \file greyscale.cc

///

/// -------Example--------

/// GreyScale

///

/// \brief this example capture the camera image and convert to grey scale

///

// include OpenCV for camera display

#include <opencv2/opencv.hpp>

// include VisionCpp

#include <visioncpp.hpp>

int main(int argc, char** argv) {

// open video or camera

cv::VideoCapture cap;

if (argc == 1) {

cap.open(0);

std::cout << "To use video" << std::endl;

std::cout << "example>: ./example path/to/video.avi" << std::endl;

} else if (argc > 1) {

cap.open(argv[1]);

}

// check if we succeeded

if (!cap.isOpened()) {

std::cout << "Opening Camera/Video Failed." << std::endl;

return -1;

}

constexpr size_t COLS = 640;

constexpr size_t ROWS = 480;

// where VisionCpp will run.

auto dev = visioncpp::make_device<visioncpp::backend::sycl,

visioncpp::device::cpu>();

// create a container for pipe output

std::shared_ptr<unsigned char> img_cv(

new unsigned char[COLS * ROWS],

[](unsigned char* dataMem) { delete[] dataMem; });

// create opencv mat

cv::Mat frame;

// point the img_cv to the Mat structure created for displaying purposes

cv::Mat output(ROWS, COLS, CV_8UC1, img_cv.get());

for (;;) {

// read frame

cap.read(frame);

// check if image was loaded

if (!frame.data) {

break;

}

// resize image to the desirable size

cv::resize(frame, frame, cv::Size(COLS, ROWS), 0, 0, cv::INTER_CUBIC);

// create input node

auto data =

visioncpp::terminal<visioncpp::pixel::U8C3, COLS, ROWS,

visioncpp::memory_type::Buffer2D>(frame.data);

// create output node

auto data_out =

visioncpp::terminal<visioncpp::pixel::U8C1, COLS, ROWS,

visioncpp::memory_type::Buffer2D>(img_cv.get());

// unsigned char BGR to float RGB storage conversion

auto node = visioncpp::point_operation<visioncpp::OP_CVBGRToRGB>(data);

// convert RGB to GREY

auto node2 = visioncpp::point_operation<visioncpp::OP_RGBToGREY>(node);

// GREY is stored as a float so we need to do [0.0f, 1.0f] to [0, 255]

// conversion

auto node3 = visioncpp::point_operation<visioncpp::OP_GREYToCVBGR>(node2);

// assign operation

auto pipe = visioncpp::assign(data_out, node3);

// execute the pipe

visioncpp::execute<visioncpp::policy::Fuse, 8, 8, 8, 8>(pipe, dev);

// show image

cv::imshow("Reference Image", frame);

cv::imshow("Greyscale", output);

// esc?

if (cv::waitKey(30) >= 0) break;

}

// release video/camera

cap.release();

return 0;

}

visioncpp/examples/greyscale.cpp at master · codeplaysoftware/visioncpp · GitHub

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