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greyscale.cpp
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// This file is part of VisionCpp, a lightweight C++ template library
// for computer vision and image processing.
//
// Copyright (C) 2016 Codeplay Software Limited. All Rights Reserved.
//
// Contact: [email protected]
//
// 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;
}