718c41634f
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
86 lines
2.2 KiB
C++
86 lines
2.2 KiB
C++
#include "opencv2/core/utility.hpp"
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#include "opencv2/imgproc.hpp"
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#include "opencv2/imgcodecs.hpp"
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#include "opencv2/highgui.hpp"
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#include <stdio.h>
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using namespace cv;
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using namespace std;
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int edgeThresh = 1;
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int edgeThreshScharr=1;
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Mat image, gray, blurImage, edge1, edge2, cedge;
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const char* window_name1 = "Edge map : Canny default (Sobel gradient)";
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const char* window_name2 = "Edge map : Canny with custom gradient (Scharr)";
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// define a trackbar callback
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static void onTrackbar(int, void*)
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{
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blur(gray, blurImage, Size(3,3));
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// Run the edge detector on grayscale
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Canny(blurImage, edge1, edgeThresh, edgeThresh*3, 3);
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cedge = Scalar::all(0);
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image.copyTo(cedge, edge1);
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imshow(window_name1, cedge);
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/// Canny detector with scharr
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Mat dx,dy;
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Scharr(blurImage,dx,CV_16S,1,0);
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Scharr(blurImage,dy,CV_16S,0,1);
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Canny( dx,dy, edge2, edgeThreshScharr, edgeThreshScharr*3 );
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/// Using Canny's output as a mask, we display our result
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cedge = Scalar::all(0);
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image.copyTo(cedge, edge2);
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imshow(window_name2, cedge);
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}
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static void help(const char** argv)
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{
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printf("\nThis sample demonstrates Canny edge detection\n"
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"Call:\n"
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" %s [image_name -- Default is fruits.jpg]\n\n", argv[0]);
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}
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const char* keys =
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{
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"{help h||}{@image |fruits.jpg|input image name}"
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};
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int main( int argc, const char** argv )
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{
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help(argv);
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CommandLineParser parser(argc, argv, keys);
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string filename = parser.get<string>(0);
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image = imread(samples::findFile(filename), IMREAD_COLOR);
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if(image.empty())
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{
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printf("Cannot read image file: %s\n", filename.c_str());
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help(argv);
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return -1;
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}
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cedge.create(image.size(), image.type());
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cvtColor(image, gray, COLOR_BGR2GRAY);
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// Create a window
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namedWindow(window_name1, 1);
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namedWindow(window_name2, 1);
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// create a toolbar
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createTrackbar("Canny threshold default", window_name1, &edgeThresh, 100, onTrackbar);
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createTrackbar("Canny threshold Scharr", window_name2, &edgeThreshScharr, 400, onTrackbar);
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// Show the image
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onTrackbar(0, 0);
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// Wait for a key stroke; the same function arranges events processing
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waitKey(0);
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return 0;
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}
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