deepin-ocr/3rdparty/opencv-4.5.4/modules/gapi/samples/api_example.cpp
wangzhengyang 718c41634f feat: 切换后端至PaddleOCR-NCNN,切换工程为CMake
1.项目后端整体迁移至PaddleOCR-NCNN算法,已通过基本的兼容性测试
2.工程改为使用CMake组织,后续为了更好地兼容第三方库,不再提供QMake工程
3.重整权利声明文件,重整代码工程,确保最小化侵权风险

Log: 切换后端至PaddleOCR-NCNN,切换工程为CMake
Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
2022-05-10 10:22:11 +08:00

35 lines
998 B
C++

#include <opencv2/videoio.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/gapi.hpp>
#include <opencv2/gapi/core.hpp>
#include <opencv2/gapi/imgproc.hpp>
int main(int argc, char *argv[])
{
cv::VideoCapture cap;
if (argc > 1) cap.open(argv[1]);
else cap.open(0);
CV_Assert(cap.isOpened());
cv::GMat in;
cv::GMat vga = cv::gapi::resize(in, cv::Size(), 0.5, 0.5);
cv::GMat gray = cv::gapi::BGR2Gray(vga);
cv::GMat blurred = cv::gapi::blur(gray, cv::Size(5,5));
cv::GMat edges = cv::gapi::Canny(blurred, 32, 128, 3);
cv::GMat b,g,r;
std::tie(b,g,r) = cv::gapi::split3(vga);
cv::GMat out = cv::gapi::merge3(b, g | edges, r);
cv::GComputation ac(in, out);
cv::Mat input_frame;
cv::Mat output_frame;
CV_Assert(cap.read(input_frame));
do
{
ac.apply(input_frame, output_frame);
cv::imshow("output", output_frame);
} while (cap.read(input_frame) && cv::waitKey(30) < 0);
return 0;
}