vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e
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Gitea Mirror Bot
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set(TEST_PROXY ${CMAKE_CURRENT_BINARY_DIR}/test.proxy)
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file(REMOVE ${TEST_PROXY})
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# generate
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# call the python executable to generate the Matlab gateways
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add_custom_command(
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OUTPUT ${TEST_PROXY}
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COMMAND ${CMAKE_COMMAND} -E copy ${CMAKE_CURRENT_SOURCE_DIR}/OpenCVTest.m ${CMAKE_CURRENT_BINARY_DIR}
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COMMAND ${CMAKE_COMMAND} -E copy ${CMAKE_CURRENT_SOURCE_DIR}/testsuite.m ${CMAKE_CURRENT_BINARY_DIR}
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COMMAND ${CMAKE_COMMAND} -E touch ${TEST_PROXY}
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COMMENT "Building Matlab tests"
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)
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# targets
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# opencv_matlab_sources --> opencv_matlab
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add_custom_target(opencv_test_matlab ALL DEPENDS ${TEST_PROXY})
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add_dependencies(opencv_test_matlab ${the_module})
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# run the matlab test suite
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add_test(opencv_test_matlab
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COMMAND ${MATLAB_BIN} "-nodisplay" "-r" "testsuite.m"
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WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}
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)
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@@ -0,0 +1,166 @@
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% Matlab binding test cases
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% Uses Matlab's builtin testing framework
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classdef OpenCVTest < matlab.unittest.TestCase
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methods(Test)
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% -------------------------------------------------------------------------
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% EXCEPTIONS
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% Check that errors and exceptions are thrown correctly
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% -------------------------------------------------------------------------
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% check that std exception is thrown
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function stdException(testcase)
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try
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std_exception();
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testcase.verifyFail();
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catch
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% TODO: Catch more specific exception
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testcase.verifyTrue(true);
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end
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end
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% check that OpenCV exceptions are correctly caught
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function cvException(testcase)
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try
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cv_exception();
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testcase.verifyFail();
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catch
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% TODO: Catch more specific exception
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testcase.verifyTrue(true);
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end
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end
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% check that all exceptions are caught
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function allException(testcase)
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try
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exception();
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testcase.verifyFail();
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catch
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% TODO: Catch more specific exception
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testcase.verifyTrue(true);
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end
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end
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% -------------------------------------------------------------------------
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% SIZES AND FILLS
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% Check that matrices are correctly filled and resized
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% -------------------------------------------------------------------------
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% check that a matrix is correctly filled with random numbers
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function randomFill(testcase)
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sz = [7 11];
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mat = zeros(sz);
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mat = cv.randn(mat, 0, 1);
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testcase.verifyEqual(size(mat), sz, 'Matrix should not change size');
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testcase.verifyNotEqual(mat, zeros(sz), 'Matrix should be nonzero');
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end
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function transpose(testcase)
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m = randn(19, 81);
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mt1 = transpose(m);
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mt2 = cv.transpose(m);
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testcase.verifyEqual(size(mt1), size(mt2), 'Matrix transposed to incorrect dimensionality');
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testcase.verifyLessThan(norm(mt1 - mt2), 1e-8, 'Too much precision lost in tranposition');
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end
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% multiple return
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function multipleReturn(testcase)
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A = randn(10);
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A = A'*A;
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[V1, D1] = eig(A); D1 = diag(D1);
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[~, D2, V2] = cv.eigen(A);
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testcase.verifyLessThan(norm(V1 - V2), 1e-6, 'Too much precision lost in eigenvectors');
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testcase.verifyLessThan(norm(D1 - D2), 1e-6, 'Too much precision lost in eigenvalues');
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end
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% complex output from SVD
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function complexOutputSVD(testcase)
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A = randn(10);
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[V1, D1] = eig(A);
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[~, D2, V2] = cv.eigen(A);
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testcase.verifyTrue(~isreal(V2) && size(V2,3) == 1, 'Output should be complex');
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testcase.verifyLessThan(norm(V1 - V2), 1e-6, 'Too much precision lost in eigenvectors');
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end
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% complex output from Fourier Transform
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function complexOutputFFT(testcase)
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A = randn(10);
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F1 = fft2(A);
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F2 = cv.dft(A, cv.DFT_COMPLEX_OUTPUT);
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testcase.verifyTrue(~isreal(F2) && size(F2,3) == 1, 'Output should be complex');
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testcase.verifyLessThan(norm(F1 - F2), 1e-6, 'Too much precision lost in eigenvectors');
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end
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% -------------------------------------------------------------------------
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% TYPE CASTS
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% Check that types are correctly cast
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% -------------------------------------------------------------------------
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% -------------------------------------------------------------------------
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% PRECISION
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% Check that basic operations are performed with sufficient precision
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% -------------------------------------------------------------------------
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% check that summing elements is within reasonable precision
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function sumElements(testcase)
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a = randn(5000);
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b = sum(a(:));
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c = cv.sum(a);
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testcase.verifyLessThan(norm(b - c), 1e-8, 'Matrix reduction with insufficient precision');
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end
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% check that adding two matrices is within reasonable precision
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function addPrecision(testcase)
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a = randn(50);
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b = randn(50);
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c = a+b;
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d = cv.add(a, b);
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testcase.verifyLessThan(norm(c - d), 1e-8, 'Matrices are added with insufficient precision');
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end
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% check that performing gemm is within reasonable precision
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function gemmPrecision(testcase)
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a = randn(10, 50);
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b = randn(50, 10);
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c = randn(10, 10);
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alpha = 2.71828;
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gamma = 1.61803;
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d = alpha*a*b + gamma*c;
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e = cv.gemm(a, b, alpha, c, gamma);
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testcase.verifyLessThan(norm(d - e), 1e-8, 'Matrices are multiplied with insufficient precision');
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end
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% -------------------------------------------------------------------------
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% MISCELLANEOUS
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% Miscellaneous tests
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% -------------------------------------------------------------------------
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% check that cv::waitKey waits for at least specified time
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function waitKey(testcase)
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tic();
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cv.waitKey(500);
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elapsed = toc();
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testcase.verifyGreaterThan(elapsed, 0.5, 'Elapsed time should be at least 0.5 seconds');
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end
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% check that highgui window can be created and destroyed
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function createAndDestroyWindow(testcase)
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try
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cv.namedWindow('test window');
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catch
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testcase.verifyFail('could not create window');
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end
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try
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cv.destroyWindow('test window');
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catch
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testcase.verifyFail('could not destroy window');
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end
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testcase.verifyTrue(true);
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end
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end
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end
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@@ -0,0 +1,33 @@
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/*
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* file: exception.cpp
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* author: Hilton Bristow
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* date: Wed, 19 Jun 2013 11:15:15
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*
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* See LICENCE for full modification and redistribution details.
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* Copyright 2013 The OpenCV Foundation
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*/
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#include <exception>
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#include <opencv2/core.hpp>
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#include "mex.h"
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/*
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* exception
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* Gateway routine
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* nlhs - number of return arguments
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* plhs - pointers to return arguments
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* nrhs - number of input arguments
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* prhs - pointers to input arguments
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*/
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void mexFunction(int nlhs, mxArray* plhs[],
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int nrhs, const mxArray* prhs[]) {
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// call the opencv function
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// [out =] namespace.fun(src1, ..., srcn, dst1, ..., dstn, opt1, ..., optn);
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try {
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throw cv::Exception(-1, "OpenCV exception thrown", __func__, __FILE__, __LINE__);
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} catch(const cv::Exception& e) {
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mexErrMsgTxt(e.what());
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} catch(...) {
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mexErrMsgTxt("Incorrect exception caught!");
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}
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}
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@@ -0,0 +1,29 @@
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/*
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* file: exception.cpp
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* author: Hilton Bristow
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* date: Wed, 19 Jun 2013 11:15:15
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*
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* See LICENCE for full modification and redistribution details.
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* Copyright 2013 The OpenCV Foundation
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*/
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#include "mex.h"
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/*
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* exception
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* Gateway routine
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* nlhs - number of return arguments
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* plhs - pointers to return arguments
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* nrhs - number of input arguments
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* prhs - pointers to input arguments
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*/
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void mexFunction(int nlhs, mxArray* plhs[],
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int nrhs, const mxArray* prhs[]) {
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// call the opencv function
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// [out =] namespace.fun(src1, ..., srcn, dst1, ..., dstn, opt1, ..., optn);
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try {
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throw 1;
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} catch(...) {
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mexErrMsgTxt("Uncaught exception occurred!");
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}
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}
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function help()
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%CV.HELP display help information for the OpenCV Toolbox
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%
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% Calling:
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% >> cv.help();
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%
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% is equivalent to calling:
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% >> help cv;
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%
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% It displays high-level usage information about the OpenCV toolbox
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% along with resources to find out more information.
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%
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% See also: cv.buildInformation
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help('cv');
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end
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@@ -0,0 +1,32 @@
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/*
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* file: exception.cpp
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* author: Hilton Bristow
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* date: Wed, 19 Jun 2013 11:15:15
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*
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* See LICENCE for full modification and redistribution details.
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* Copyright 2013 The OpenCV Foundation
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*/
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#include <exception>
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#include "mex.h"
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/*
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* exception
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* Gateway routine
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* nlhs - number of return arguments
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* plhs - pointers to return arguments
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* nrhs - number of input arguments
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* prhs - pointers to input arguments
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*/
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void mexFunction(int nlhs, mxArray* plhs[],
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int nrhs, const mxArray* prhs[]) {
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// call the opencv function
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// [out =] namespace.fun(src1, ..., srcn, dst1, ..., dstn, opt1, ..., optn);
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try {
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throw std::exception();
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} catch(const std::exception& e) {
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mexErrMsgTxt(e.what());
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} catch(...) {
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mexErrMsgTxt("Incorrect exception caught!");
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}
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}
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@@ -0,0 +1,31 @@
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/*
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* file: rand.cpp
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* author: A trusty code generator
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* date: Wed, 19 Jun 2013 11:15:15
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*
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* This file was autogenerated, do not modify.
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* See LICENCE for full modification and redistribution details.
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* Copyright 2013 The OpenCV Foundation
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*/
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#include "mex.h"
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#include <vector>
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/*
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* rand
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* Gateway routine
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* nlhs - number of return arguments
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* plhs - pointers to return arguments
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* nrhs - number of input arguments
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* prhs - pointers to input arguments
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*/
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void mexFunction(int nlhs, mxArray* plhs[],
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int nrhs, const mxArray* prhs[]) {
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// call the opencv function
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// [out =] namespace.fun(src1, ..., srcn, dst1, ..., dstn, opt1, ..., optn);
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try {
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rand();
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} catch(...) {
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mexErrMsgTxt("Uncaught exception occurred in rand");
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}
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}
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@@ -0,0 +1,15 @@
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/*
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* a rather innocuous-looking function which is actually
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* part of <cstdlib>, so we can be reasonably sure its
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* definition will be found
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*/
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#ifndef __OPENCV_MATLAB_TEST_GENERATOR_HPP_
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#define __OPENCV_MATLAB_TEST_GENERATOR_HPP_
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namespace cv {
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CV_EXPORTS_W int rand( );
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};
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#endif
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@@ -0,0 +1,11 @@
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% add the opencv bindings folder
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addpath ..
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%setup the tests
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opencv_tests = OpenCVTest();
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%run the tests
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result = run(opencv_tests);
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% shutdown
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exit();
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