vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

2026-08-22 00:11:13 +08:00
commit 12022378a3
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+% Matlab binding test cases
+% Uses Matlab's builtin testing framework
+classdef OpenCVTest < matlab.unittest.TestCase
+
+  methods(Test)
+
+    % -------------------------------------------------------------------------
+    % EXCEPTIONS
+    % Check that errors and exceptions are thrown correctly
+    % -------------------------------------------------------------------------
+
+    % check that std exception is thrown
+    function stdException(testcase)
+      try
+        std_exception();
+        testcase.verifyFail();
+      catch
+        % TODO: Catch more specific exception
+        testcase.verifyTrue(true);
+      end
+    end
+
+    % check that OpenCV exceptions are correctly caught
+    function cvException(testcase)
+      try
+        cv_exception();
+        testcase.verifyFail();
+      catch
+        % TODO: Catch more specific exception
+        testcase.verifyTrue(true);
+      end
+    end
+
+    % check that all exceptions are caught
+    function allException(testcase)
+      try
+        exception();
+        testcase.verifyFail();
+      catch
+        % TODO: Catch more specific exception
+        testcase.verifyTrue(true);
+      end
+    end
+
+    % -------------------------------------------------------------------------
+    % SIZES AND FILLS
+    % Check that matrices are correctly filled and resized
+    % -------------------------------------------------------------------------
+
+    % check that a matrix is correctly filled with random numbers
+    function randomFill(testcase)
+      sz = [7 11];
+      mat = zeros(sz);
+      mat = cv.randn(mat, 0, 1);
+      testcase.verifyEqual(size(mat), sz, 'Matrix should not change size');
+      testcase.verifyNotEqual(mat, zeros(sz), 'Matrix should be nonzero');
+    end
+
+    function transpose(testcase)
+      m = randn(19, 81);
+      mt1 = transpose(m);
+      mt2 = cv.transpose(m);
+      testcase.verifyEqual(size(mt1), size(mt2), 'Matrix transposed to incorrect dimensionality');
+      testcase.verifyLessThan(norm(mt1 - mt2), 1e-8, 'Too much precision lost in tranposition');
+    end
+
+    % multiple return
+    function multipleReturn(testcase)
+      A = randn(10);
+      A = A'*A;
+      [V1, D1] = eig(A); D1 = diag(D1);
+      [~, D2, V2] = cv.eigen(A);
+      testcase.verifyLessThan(norm(V1 - V2), 1e-6, 'Too much precision lost in eigenvectors');
+      testcase.verifyLessThan(norm(D1 - D2), 1e-6, 'Too much precision lost in eigenvalues');
+    end
+
+    % complex output from SVD
+    function complexOutputSVD(testcase)
+      A = randn(10);
+      [V1, D1] = eig(A);
+      [~, D2, V2] = cv.eigen(A);
+      testcase.verifyTrue(~isreal(V2) && size(V2,3) == 1, 'Output should be complex');
+      testcase.verifyLessThan(norm(V1 - V2), 1e-6, 'Too much precision lost in eigenvectors');
+    end
+
+    % complex output from Fourier Transform
+    function complexOutputFFT(testcase)
+      A = randn(10);
+      F1 = fft2(A);
+      F2 = cv.dft(A, cv.DFT_COMPLEX_OUTPUT);
+      testcase.verifyTrue(~isreal(F2) && size(F2,3) == 1, 'Output should be complex');
+      testcase.verifyLessThan(norm(F1 - F2), 1e-6, 'Too much precision lost in eigenvectors');
+    end
+
+    % -------------------------------------------------------------------------
+    % TYPE CASTS
+    % Check that types are correctly cast
+    % -------------------------------------------------------------------------
+
+    % -------------------------------------------------------------------------
+    % PRECISION
+    % Check that basic operations are performed with sufficient precision
+    % -------------------------------------------------------------------------
+
+    % check that summing elements is within reasonable precision
+    function sumElements(testcase)
+      a = randn(5000);
+      b = sum(a(:));
+      c = cv.sum(a);
+      testcase.verifyLessThan(norm(b - c), 1e-8, 'Matrix reduction with insufficient precision');
+    end
+
+
+    % check that adding two matrices is within reasonable precision
+    function addPrecision(testcase)
+      a = randn(50);
+      b = randn(50);
+      c = a+b;
+      d = cv.add(a, b);
+      testcase.verifyLessThan(norm(c - d), 1e-8, 'Matrices are added with insufficient precision');
+    end
+
+    % check that performing gemm is within reasonable precision
+    function gemmPrecision(testcase)
+      a = randn(10, 50);
+      b = randn(50, 10);
+      c = randn(10, 10);
+      alpha = 2.71828;
+      gamma = 1.61803;
+      d = alpha*a*b + gamma*c;
+      e = cv.gemm(a, b, alpha, c, gamma);
+      testcase.verifyLessThan(norm(d - e), 1e-8, 'Matrices are multiplied with insufficient precision');
+    end
+
+
+    % -------------------------------------------------------------------------
+    % MISCELLANEOUS
+    % Miscellaneous tests
+    % -------------------------------------------------------------------------
+
+    % check that cv::waitKey waits for at least specified time
+    function waitKey(testcase)
+      tic();
+      cv.waitKey(500);
+      elapsed = toc();
+      testcase.verifyGreaterThan(elapsed, 0.5, 'Elapsed time should be at least 0.5 seconds');
+    end
+
+    % check that highgui window can be created and destroyed
+    function createAndDestroyWindow(testcase)
+      try
+        cv.namedWindow('test window');
+      catch
+        testcase.verifyFail('could not create window');
+      end
+
+      try
+        cv.destroyWindow('test window');
+      catch
+        testcase.verifyFail('could not destroy window');
+      end
+      testcase.verifyTrue(true);
+    end
+
+  end
+end