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Alexander Alekhin
7 years ago
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4560909a5e
123 changed files with 7025 additions and 2444 deletions
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of Intel Corporation may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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// 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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namespace opencv_test { namespace { |
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TEST(Objdetect_QRCode, regression) |
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namespace opencv_test |
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{ |
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String qrcode_images_name[] = { |
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"20110817_030.jpg", |
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"20110817_048.jpg", |
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"img_20120226_161648.jpg", |
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"img_2714.jpg", |
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"img_2716.jpg", |
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"img_3011.jpg", |
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"img_3029.jpg", |
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"img_3070.jpg", |
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"qr_test_030.jpg" |
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}; |
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// #define UPDATE_QRCODE_TEST_DATA
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#ifdef UPDATE_QRCODE_TEST_DATA |
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TEST(Objdetect_QRCode, generate_test_data) |
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{ |
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String root = cvtest::TS::ptr()->get_data_path() + "qrcode/"; |
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// String cascades[] =
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// {
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// root + "haarcascade_frontalface_alt.xml",
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// root + "lbpcascade_frontalface.xml",
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// String()
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// };
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// vector<Rect> objects;
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// RNG rng((uint64)-1);
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// for( int i = 0; !cascades[i].empty(); i++ )
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// {
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// printf("%d. %s\n", i, cascades[i].c_str());
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// CascadeClassifier cascade(cascades[i]);
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// for( int j = 0; j < 100; j++ )
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// {
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// int width = rng.uniform(1, 100);
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// int height = rng.uniform(1, 100);
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// Mat img(height, width, CV_8U);
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// randu(img, 0, 256);
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// cascade.detectMultiScale(img, objects);
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// }
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// }
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String dataset_config = cvtest::TS::ptr()->get_data_path() + "qrcode/dataset_config.json"; |
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FileStorage file_config(dataset_config, FileStorage::WRITE); |
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file_config << "test_images" << "["; |
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size_t images_count = sizeof(qrcode_images_name) / sizeof(String); |
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for (size_t i = 0; i < images_count; i++) |
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{ |
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file_config << "{:" << "image_name" << qrcode_images_name[i]; |
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String image_path = root + qrcode_images_name[i]; |
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std::vector<Point> transform; |
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Mat src = imread(image_path, IMREAD_GRAYSCALE); |
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EXPECT_TRUE(detectQRCode(src, transform)); |
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file_config << "x" << "[:"; |
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for (size_t j = 0; j < transform.size(); j++) { file_config << transform[j].x; } |
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file_config << "]"; |
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file_config << "y" << "[:"; |
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for (size_t j = 0; j < transform.size(); j++) { file_config << transform[j].y; } |
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file_config << "]" << "}"; |
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} |
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file_config << "]"; |
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file_config.release(); |
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} |
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}} // namespace
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#else |
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typedef testing::TestWithParam< String > Objdetect_QRCode; |
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TEST_P(Objdetect_QRCode, regression) |
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{ |
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String root = cvtest::TS::ptr()->get_data_path() + "qrcode/"; |
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String dataset_config = cvtest::TS::ptr()->get_data_path() + "qrcode/dataset_config.json"; |
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FileStorage file_config(dataset_config, FileStorage::READ); |
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const int pixels_error = 3; |
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std::vector<Point> corners; |
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String image_path = root + String(GetParam()); |
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Mat src = imread(image_path, IMREAD_GRAYSCALE); |
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EXPECT_TRUE(detectQRCode(src, corners)); |
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if (file_config.isOpened()) |
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{ |
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FileNode images_list = file_config["test_images"]; |
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int index = 0, images_count = static_cast<int>(images_list.size()); |
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ASSERT_GT(images_count, 0); |
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bool runTestsFlag = false; |
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String name_current_image = String(GetParam()); |
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for (; index < images_count; index++) |
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{ |
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String name_test_image = images_list[index]["image_name"]; |
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if (name_test_image == name_current_image) |
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{ |
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for (int i = 0; i < 4; i++) |
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{ |
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int x = images_list[index]["x"][i]; |
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int y = images_list[index]["y"][i]; |
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EXPECT_NEAR(x, corners[i].x, pixels_error); |
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EXPECT_NEAR(y, corners[i].y, pixels_error); |
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} |
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runTestsFlag = true; |
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} |
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} |
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if (!runTestsFlag) |
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{ |
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std::cout << "Not found results for " << name_current_image; |
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std::cout << " image in dataset_config.json file." << std::endl; |
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} |
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file_config.release(); |
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} |
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else |
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{ |
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std::cout << " Not found dataset_config.json file." << std::endl; |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(objdetect, Objdetect_QRCode, testing::ValuesIn(qrcode_images_name)); |
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TEST(Objdetect_QRCode, not_found_qrcode) |
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{ |
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std::vector<Point> corners; |
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Mat zero_image = Mat::zeros(256, 256, CV_8UC1); |
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EXPECT_FALSE(detectQRCode(zero_image, corners)); |
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} |
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#endif |
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} // namespace
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