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
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wangzhengyang
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#include <iostream> // for standard I/O
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#include <string> // for strings
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#include <iomanip> // for controlling float print precision
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#include <sstream> // string to number conversion
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#include <opencv2/core.hpp> // Basic OpenCV structures (cv::Mat, Scalar)
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#include <opencv2/imgproc.hpp> // Gaussian Blur
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#include <opencv2/videoio.hpp>
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#include <opencv2/highgui.hpp> // OpenCV window I/O
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using namespace std;
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using namespace cv;
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double getPSNR ( const Mat& I1, const Mat& I2);
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Scalar getMSSIM( const Mat& I1, const Mat& I2);
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static void help()
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{
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cout
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<< "------------------------------------------------------------------------------" << endl
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<< "This program shows how to read a video file with OpenCV. In addition, it "
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<< "tests the similarity of two input videos first with PSNR, and for the frames "
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<< "below a PSNR trigger value, also with MSSIM." << endl
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<< "Usage:" << endl
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<< "./video-input-psnr-ssim <referenceVideo> <useCaseTestVideo> <PSNR_Trigger_Value> <Wait_Between_Frames> " << endl
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<< "--------------------------------------------------------------------------" << endl
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<< endl;
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}
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int main(int argc, char *argv[])
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{
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help();
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if (argc != 5)
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{
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cout << "Not enough parameters" << endl;
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return -1;
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}
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stringstream conv;
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const string sourceReference = argv[1], sourceCompareWith = argv[2];
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int psnrTriggerValue, delay;
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conv << argv[3] << endl << argv[4]; // put in the strings
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conv >> psnrTriggerValue >> delay; // take out the numbers
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int frameNum = -1; // Frame counter
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VideoCapture captRefrnc(sourceReference), captUndTst(sourceCompareWith);
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if (!captRefrnc.isOpened())
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{
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cout << "Could not open reference " << sourceReference << endl;
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return -1;
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}
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if (!captUndTst.isOpened())
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{
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cout << "Could not open case test " << sourceCompareWith << endl;
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return -1;
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}
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Size refS = Size((int) captRefrnc.get(CAP_PROP_FRAME_WIDTH),
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(int) captRefrnc.get(CAP_PROP_FRAME_HEIGHT)),
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uTSi = Size((int) captUndTst.get(CAP_PROP_FRAME_WIDTH),
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(int) captUndTst.get(CAP_PROP_FRAME_HEIGHT));
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if (refS != uTSi)
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{
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cout << "Inputs have different size!!! Closing." << endl;
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return -1;
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}
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const char* WIN_UT = "Under Test";
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const char* WIN_RF = "Reference";
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// Windows
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namedWindow(WIN_RF, WINDOW_AUTOSIZE);
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namedWindow(WIN_UT, WINDOW_AUTOSIZE);
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moveWindow(WIN_RF, 400 , 0); //750, 2 (bernat =0)
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moveWindow(WIN_UT, refS.width, 0); //1500, 2
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cout << "Reference frame resolution: Width=" << refS.width << " Height=" << refS.height
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<< " of nr#: " << captRefrnc.get(CAP_PROP_FRAME_COUNT) << endl;
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cout << "PSNR trigger value " << setiosflags(ios::fixed) << setprecision(3)
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<< psnrTriggerValue << endl;
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Mat frameReference, frameUnderTest;
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double psnrV;
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Scalar mssimV;
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for(;;) //Show the image captured in the window and repeat
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{
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captRefrnc >> frameReference;
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captUndTst >> frameUnderTest;
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if (frameReference.empty() || frameUnderTest.empty())
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{
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cout << " < < < Game over! > > > ";
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break;
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}
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++frameNum;
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cout << "Frame: " << frameNum << "# ";
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///////////////////////////////// PSNR ////////////////////////////////////////////////////
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psnrV = getPSNR(frameReference,frameUnderTest);
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cout << setiosflags(ios::fixed) << setprecision(3) << psnrV << "dB";
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//////////////////////////////////// MSSIM /////////////////////////////////////////////////
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if (psnrV < psnrTriggerValue && psnrV)
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{
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mssimV = getMSSIM(frameReference, frameUnderTest);
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cout << " MSSIM: "
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<< " R " << setiosflags(ios::fixed) << setprecision(2) << mssimV.val[2] * 100 << "%"
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<< " G " << setiosflags(ios::fixed) << setprecision(2) << mssimV.val[1] * 100 << "%"
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<< " B " << setiosflags(ios::fixed) << setprecision(2) << mssimV.val[0] * 100 << "%";
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}
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cout << endl;
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////////////////////////////////// Show Image /////////////////////////////////////////////
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imshow(WIN_RF, frameReference);
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imshow(WIN_UT, frameUnderTest);
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char c = (char)waitKey(delay);
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if (c == 27) break;
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}
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return 0;
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}
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// ![get-psnr]
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double getPSNR(const Mat& I1, const Mat& I2)
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{
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Mat s1;
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absdiff(I1, I2, s1); // |I1 - I2|
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s1.convertTo(s1, CV_32F); // cannot make a square on 8 bits
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s1 = s1.mul(s1); // |I1 - I2|^2
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Scalar s = sum(s1); // sum elements per channel
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double sse = s.val[0] + s.val[1] + s.val[2]; // sum channels
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if( sse <= 1e-10) // for small values return zero
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return 0;
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else
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{
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double mse = sse / (double)(I1.channels() * I1.total());
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double psnr = 10.0 * log10((255 * 255) / mse);
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return psnr;
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}
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}
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// ![get-psnr]
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// ![get-mssim]
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Scalar getMSSIM( const Mat& i1, const Mat& i2)
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{
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const double C1 = 6.5025, C2 = 58.5225;
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/***************************** INITS **********************************/
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int d = CV_32F;
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Mat I1, I2;
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i1.convertTo(I1, d); // cannot calculate on one byte large values
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i2.convertTo(I2, d);
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Mat I2_2 = I2.mul(I2); // I2^2
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Mat I1_2 = I1.mul(I1); // I1^2
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Mat I1_I2 = I1.mul(I2); // I1 * I2
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/*************************** END INITS **********************************/
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Mat mu1, mu2; // PRELIMINARY COMPUTING
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GaussianBlur(I1, mu1, Size(11, 11), 1.5);
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GaussianBlur(I2, mu2, Size(11, 11), 1.5);
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Mat mu1_2 = mu1.mul(mu1);
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Mat mu2_2 = mu2.mul(mu2);
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Mat mu1_mu2 = mu1.mul(mu2);
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Mat sigma1_2, sigma2_2, sigma12;
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GaussianBlur(I1_2, sigma1_2, Size(11, 11), 1.5);
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sigma1_2 -= mu1_2;
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GaussianBlur(I2_2, sigma2_2, Size(11, 11), 1.5);
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sigma2_2 -= mu2_2;
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GaussianBlur(I1_I2, sigma12, Size(11, 11), 1.5);
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sigma12 -= mu1_mu2;
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///////////////////////////////// FORMULA ////////////////////////////////
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Mat t1, t2, t3;
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t1 = 2 * mu1_mu2 + C1;
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t2 = 2 * sigma12 + C2;
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t3 = t1.mul(t2); // t3 = ((2*mu1_mu2 + C1).*(2*sigma12 + C2))
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t1 = mu1_2 + mu2_2 + C1;
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t2 = sigma1_2 + sigma2_2 + C2;
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t1 = t1.mul(t2); // t1 =((mu1_2 + mu2_2 + C1).*(sigma1_2 + sigma2_2 + C2))
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Mat ssim_map;
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divide(t3, t1, ssim_map); // ssim_map = t3./t1;
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Scalar mssim = mean(ssim_map); // mssim = average of ssim map
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return mssim;
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}
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// ![get-mssim]
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