294 lines
14 KiB
C++
294 lines
14 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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//
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// Tencent is pleased to support the open source community by making WeChat QRCode available.
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// Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
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#include "test_precomp.hpp"
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namespace opencv_test {
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namespace {
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std::string qrcode_images_name[] = {
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"version_1_down.jpg", /*"version_1_left.jpg", "version_1_right.jpg", "version_1_up.jpg",*/
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"version_1_top.jpg",
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/*"version_2_down.jpg",*/ "version_2_left.jpg", /*"version_2_right.jpg",*/
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"version_2_up.jpg",
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"version_2_top.jpg",
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"version_3_down.jpg",
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"version_3_left.jpg",
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/*"version_3_right.jpg",*/ "version_3_up.jpg",
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"version_3_top.jpg",
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"version_4_down.jpg",
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"version_4_left.jpg",
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/*"version_4_right.jpg",*/ "version_4_up.jpg",
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"version_4_top.jpg",
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"version_5_down.jpg",
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"version_5_left.jpg",
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/*"version_5_right.jpg",*/ "version_5_up.jpg",
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"version_5_top.jpg",
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"russian.jpg",
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"kanji.jpg", /*"link_github_ocv.jpg",*/
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"link_ocv.jpg",
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"link_wiki_cv.jpg"};
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std::string qrcode_images_close[] = {/*"close_1.png",*/ "close_2.png", "close_3.png", "close_4.png",
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"close_5.png"};
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std::string qrcode_images_monitor[] = {"monitor_1.png", "monitor_2.png", "monitor_3.png",
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"monitor_4.png", "monitor_5.png"};
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std::string qrcode_images_curved[] = {"curved_1.jpg", /*"curved_2.jpg", "curved_3.jpg",
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"curved_4.jpg",*/
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"curved_5.jpg", "curved_6.jpg",
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/*"curved_7.jpg", "curved_8.jpg"*/};
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// std::string qrcode_images_multiple[] = {"2_qrcodes.png", "3_close_qrcodes.png", "3_qrcodes.png",
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// "4_qrcodes.png", "5_qrcodes.png", "6_qrcodes.png",
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// "7_qrcodes.png", "8_close_qrcodes.png"};
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typedef testing::TestWithParam<std::string> Objdetect_QRCode;
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TEST_P(Objdetect_QRCode, regression) {
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const std::string name_current_image = GetParam();
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const std::string root = "qrcode/";
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std::string image_path = findDataFile(root + name_current_image);
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Mat src = imread(image_path, IMREAD_GRAYSCALE);
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ASSERT_FALSE(src.empty()) << "Can't read image: " << image_path;
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vector<Mat> points;
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// can not find the model file
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// so we temporarily comment it out
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// auto detector = wechat_qrcode::WeChatQRCode(
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// findDataFile("detect.prototxt", false), findDataFile("detect.caffemodel", false),
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// findDataFile("sr.prototxt", false), findDataFile("sr.caffemodel", false));
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auto detector = wechat_qrcode::WeChatQRCode();
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auto decoded_info = detector.detectAndDecode(src, points);
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const std::string dataset_config = findDataFile(root + "dataset_config.json");
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FileStorage file_config(dataset_config, FileStorage::READ);
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ASSERT_TRUE(file_config.isOpened()) << "Can't read validation data: " << dataset_config;
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{
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FileNode images_list = file_config["test_images"];
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size_t images_count = static_cast<size_t>(images_list.size());
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ASSERT_GT(images_count, 0u)
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<< "Can't find validation data entries in 'test_images': " << dataset_config;
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for (size_t index = 0; index < images_count; index++) {
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FileNode config = images_list[(int)index];
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std::string name_test_image = config["image_name"];
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if (name_test_image == name_current_image) {
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std::string original_info = config["info"];
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string decoded_str;
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if (decoded_info.size()) {
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decoded_str = decoded_info[0];
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}
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EXPECT_EQ(decoded_str, original_info);
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return; // done
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}
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}
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std::cerr << "Not found results for '" << name_current_image
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<< "' image in config file:" << dataset_config << std::endl
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<< "Re-run tests with enabled UPDATE_QRCODE_TEST_DATA macro to update test data."
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<< std::endl;
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}
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}
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typedef testing::TestWithParam<std::string> Objdetect_QRCode_Close;
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TEST_P(Objdetect_QRCode_Close, regression) {
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const std::string name_current_image = GetParam();
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const std::string root = "qrcode/close/";
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std::string image_path = findDataFile(root + name_current_image);
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Mat src = imread(image_path, IMREAD_GRAYSCALE);
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ASSERT_FALSE(src.empty()) << "Can't read image: " << image_path;
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vector<Mat> points;
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// can not find the model file
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// so we temporarily comment it out
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// auto detector = wechat_qrcode::WeChatQRCode(
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// findDataFile("detect.prototxt", false), findDataFile("detect.caffemodel", false),
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// findDataFile("sr.prototxt", false), findDataFile("sr.caffemodel", false));
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auto detector = wechat_qrcode::WeChatQRCode();
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auto decoded_info = detector.detectAndDecode(src, points);
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const std::string dataset_config = findDataFile(root + "dataset_config.json");
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FileStorage file_config(dataset_config, FileStorage::READ);
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ASSERT_TRUE(file_config.isOpened()) << "Can't read validation data: " << dataset_config;
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{
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FileNode images_list = file_config["close_images"];
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size_t images_count = static_cast<size_t>(images_list.size());
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ASSERT_GT(images_count, 0u)
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<< "Can't find validation data entries in 'close_images': " << dataset_config;
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for (size_t index = 0; index < images_count; index++) {
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FileNode config = images_list[(int)index];
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std::string name_test_image = config["image_name"];
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if (name_test_image == name_current_image) {
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std::string original_info = config["info"];
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string decoded_str;
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if (decoded_info.size()) {
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decoded_str = decoded_info[0];
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}
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EXPECT_EQ(decoded_str, original_info);
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return; // done
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}
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}
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std::cerr << "Not found results for '" << name_current_image
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<< "' image in config file:" << dataset_config << std::endl
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<< "Re-run tests with enabled UPDATE_QRCODE_TEST_DATA macro to update test data."
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<< std::endl;
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}
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}
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typedef testing::TestWithParam<std::string> Objdetect_QRCode_Monitor;
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TEST_P(Objdetect_QRCode_Monitor, regression) {
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const std::string name_current_image = GetParam();
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const std::string root = "qrcode/monitor/";
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std::string image_path = findDataFile(root + name_current_image);
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Mat src = imread(image_path, IMREAD_GRAYSCALE);
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ASSERT_FALSE(src.empty()) << "Can't read image: " << image_path;
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vector<Mat> points;
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// can not find the model file
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// so we temporarily comment it out
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// auto detector = wechat_qrcode::WeChatQRCode(
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// findDataFile("detect.prototxt", false), findDataFile("detect.caffemodel", false),
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// findDataFile("sr.prototxt", false), findDataFile("sr.caffemodel", false));
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auto detector = wechat_qrcode::WeChatQRCode();
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auto decoded_info = detector.detectAndDecode(src, points);
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const std::string dataset_config = findDataFile(root + "dataset_config.json");
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FileStorage file_config(dataset_config, FileStorage::READ);
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ASSERT_TRUE(file_config.isOpened()) << "Can't read validation data: " << dataset_config;
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{
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FileNode images_list = file_config["monitor_images"];
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size_t images_count = static_cast<size_t>(images_list.size());
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ASSERT_GT(images_count, 0u)
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<< "Can't find validation data entries in 'monitor_images': " << dataset_config;
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for (size_t index = 0; index < images_count; index++) {
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FileNode config = images_list[(int)index];
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std::string name_test_image = config["image_name"];
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if (name_test_image == name_current_image) {
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std::string original_info = config["info"];
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string decoded_str;
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if (decoded_info.size()) {
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decoded_str = decoded_info[0];
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}
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EXPECT_EQ(decoded_str, original_info);
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return; // done
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}
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}
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std::cerr << "Not found results for '" << name_current_image
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<< "' image in config file:" << dataset_config << std::endl
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<< "Re-run tests with enabled UPDATE_QRCODE_TEST_DATA macro to update test data."
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<< std::endl;
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}
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}
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typedef testing::TestWithParam<std::string> Objdetect_QRCode_Curved;
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TEST_P(Objdetect_QRCode_Curved, regression) {
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const std::string name_current_image = GetParam();
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const std::string root = "qrcode/curved/";
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std::string image_path = findDataFile(root + name_current_image);
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Mat src = imread(image_path, IMREAD_GRAYSCALE);
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ASSERT_FALSE(src.empty()) << "Can't read image: " << image_path;
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vector<Mat> points;
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// can not find the model file
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// so we temporarily comment it out
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// auto detector = wechat_qrcode::WeChatQRCode(
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// findDataFile("detect.prototxt", false), findDataFile("detect.caffemodel", false),
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// findDataFile("sr.prototxt", false), findDataFile("sr.caffemodel", false));
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auto detector = wechat_qrcode::WeChatQRCode();
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auto decoded_info = detector.detectAndDecode(src, points);
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const std::string dataset_config = findDataFile(root + "dataset_config.json");
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FileStorage file_config(dataset_config, FileStorage::READ);
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ASSERT_TRUE(file_config.isOpened()) << "Can't read validation data: " << dataset_config;
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{
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FileNode images_list = file_config["test_images"];
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size_t images_count = static_cast<size_t>(images_list.size());
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ASSERT_GT(images_count, 0u)
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<< "Can't find validation data entries in 'test_images': " << dataset_config;
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for (size_t index = 0; index < images_count; index++) {
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FileNode config = images_list[(int)index];
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std::string name_test_image = config["image_name"];
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if (name_test_image == name_current_image) {
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std::string original_info = config["info"];
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string decoded_str;
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if (decoded_info.size()) {
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decoded_str = decoded_info[0];
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}
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EXPECT_EQ(decoded_str, original_info);
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return; // done
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}
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}
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std::cerr << "Not found results for '" << name_current_image
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<< "' image in config file:" << dataset_config << std::endl
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<< "Re-run tests with enabled UPDATE_QRCODE_TEST_DATA macro to update test data."
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<< std::endl;
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}
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}
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typedef testing::TestWithParam<std::string> Objdetect_QRCode_Multi;
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TEST_P(Objdetect_QRCode_Multi, regression) {
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const std::string name_current_image = GetParam();
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const std::string root = "qrcode/multiple/";
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std::string image_path = findDataFile(root + name_current_image);
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Mat src = imread(image_path);
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ASSERT_FALSE(src.empty()) << "Can't read image: " << image_path;
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vector<Mat> points;
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// can not find the model file
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// so we temporarily comment it out
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// auto detector = wechat_qrcode::WeChatQRCode(
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// findDataFile("detect.prototxt", false), findDataFile("detect.caffemodel", false),
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// findDataFile("sr.prototxt", false), findDataFile("sr.caffemodel", false));
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auto detector = wechat_qrcode::WeChatQRCode();
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vector<string> decoded_info = detector.detectAndDecode(src, points);
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const std::string dataset_config = findDataFile(root + "dataset_config.json");
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FileStorage file_config(dataset_config, FileStorage::READ);
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ASSERT_TRUE(file_config.isOpened()) << "Can't read validation data: " << dataset_config;
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{
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FileNode images_list = file_config["multiple_images"];
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size_t images_count = static_cast<size_t>(images_list.size());
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ASSERT_GT(images_count, 0u)
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<< "Can't find validation data entries in 'test_images': " << dataset_config;
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for (size_t index = 0; index < images_count; index++) {
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FileNode config = images_list[(int)index];
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std::string name_test_image = config["image_name"];
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if (name_test_image == name_current_image) {
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size_t count_eq_info = 0;
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for (int i = 0; i < int(decoded_info.size()); i++) {
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for (int j = 0; j < int(config["info"].size()); j++) {
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std::string original_info = config["info"][j];
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if (original_info == decoded_info[i]) {
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count_eq_info++;
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break;
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}
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}
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}
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EXPECT_EQ(config["info"].size(), count_eq_info);
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return; // done
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}
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}
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std::cerr << "Not found results for '" << name_current_image
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<< "' image in config file:" << dataset_config << std::endl
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<< "Re-run tests with enabled UPDATE_QRCODE_TEST_DATA macro to update test data."
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<< std::endl;
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}
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}
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INSTANTIATE_TEST_CASE_P(/**/, Objdetect_QRCode, testing::ValuesIn(qrcode_images_name));
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INSTANTIATE_TEST_CASE_P(/**/, Objdetect_QRCode_Close, testing::ValuesIn(qrcode_images_close));
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INSTANTIATE_TEST_CASE_P(/**/, Objdetect_QRCode_Monitor, testing::ValuesIn(qrcode_images_monitor));
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INSTANTIATE_TEST_CASE_P(/**/, Objdetect_QRCode_Curved, testing::ValuesIn(qrcode_images_curved));
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// INSTANTIATE_TEST_CASE_P(/**/, Objdetect_QRCode_Multi, testing::ValuesIn(qrcode_images_multiple));
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} // namespace
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} // namespace opencv_test
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