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e70c9dab7c
objdetect: default CCheckerDetector chart type to MCC24 - #30412 Fixes #30410. `CCheckerDetectorImpl::m_chartType` had no initializer and the constructor is empty, so a detector from `CCheckerDetector::create()` read an indeterminate chart type unless `setColorChartType()` was called first. It now defaults to `MCC24`, the first `ColorChart` value. With `operator new` filling memory with 0xFF, 5.x reports chart type -1 and `process()` fails on `mcc/MCC24.png`; with the fix it reports `MCC24` and finds the chart. Added `CV_mccRunCCheckerDetectorBasic.default_chart_type`, which checks the default and runs detection without setting the type. ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake
61 lines
1.8 KiB
C++
61 lines
1.8 KiB
C++
// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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#include "test_precomp.hpp"
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#include <vector>
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namespace opencv_test
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{
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namespace
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{
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using namespace std;
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using namespace cv::mcc;
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/****************************************************************************************\
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* Test detection works properly on the simplest images
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\****************************************************************************************/
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void runCCheckerDetectorBasic(std::string image_name, ColorChart chartType)
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{
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Ptr<CCheckerDetector> detector = CCheckerDetector::create();
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std::string path = cvtest::findDataFile("mcc/" + image_name);
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cv::Mat img = imread(path);
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ASSERT_FALSE(img.empty()) << "Test image can't be loaded: " << path;
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detector->setColorChartType(chartType);
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ASSERT_TRUE(detector->process(img));
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}
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TEST(CV_mccRunCCheckerDetectorBasic, accuracy_SG140)
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{
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runCCheckerDetectorBasic("SG140.png", SG140);
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}
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TEST(CV_mccRunCCheckerDetectorBasic, accuracy_MCC24)
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{
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runCCheckerDetectorBasic("MCC24.png", MCC24);
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}
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TEST(CV_mccRunCCheckerDetectorBasic, accuracy_VINYL18)
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{
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runCCheckerDetectorBasic("VINYL18.png", VINYL18);
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}
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TEST(CV_mccRunCCheckerDetectorBasic, default_chart_type)
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{
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Ptr<CCheckerDetector> detector = CCheckerDetector::create();
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EXPECT_EQ(MCC24, detector->getColorChartType());
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Ptr<CChecker> checker = CChecker::create();
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EXPECT_EQ(MCC24, checker->getTarget());
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EXPECT_EQ(0.f, checker->getCost());
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std::string path = cvtest::findDataFile("mcc/MCC24.png");
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cv::Mat img = imread(path);
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ASSERT_FALSE(img.empty()) << "Test image can't be loaded: " << path;
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ASSERT_TRUE(detector->process(img));
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}
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} // namespace
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} // namespace opencv_test
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