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https://github.com/opencv/opencv.git
synced 2026-07-29 23:33:05 +04:00
Merge branch 4.x
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@@ -235,9 +235,11 @@ vector<Vec3d> QRDetect::searchHorizontalLines()
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vector<Point2f> QRDetect::separateVerticalLines(const vector<Vec3d> &list_lines)
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{
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CV_TRACE_FUNCTION();
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for (int coeff_epsilon = 1; coeff_epsilon < 10; coeff_epsilon++)
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const double min_dist_between_points = 10.0;
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const double max_ratio = 1.0;
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for (int coeff_epsilon_i = 1; coeff_epsilon_i < 101; ++coeff_epsilon_i)
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{
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const float coeff_epsilon = coeff_epsilon_i * 0.1f;
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vector<Point2f> point2f_result = extractVerticalLines(list_lines, eps_horizontal * coeff_epsilon);
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if (!point2f_result.empty())
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{
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@@ -247,9 +249,23 @@ vector<Point2f> QRDetect::separateVerticalLines(const vector<Vec3d> &list_lines)
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point2f_result, 3, labels,
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TermCriteria(TermCriteria::EPS + TermCriteria::COUNT, 10, 0.1),
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3, KMEANS_PP_CENTERS, centers);
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if (compactness == 0)
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double min_dist = std::numeric_limits<double>::max();
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for (size_t i = 0; i < centers.size(); i++)
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{
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double dist = norm(centers[i] - centers[(i+1) % centers.size()]);
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if (dist < min_dist)
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{
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min_dist = dist;
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}
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}
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if (min_dist < min_dist_between_points)
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{
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continue;
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if (compactness > 0)
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}
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double mean_compactness = compactness / point2f_result.size();
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double ratio = mean_compactness / min_dist;
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if (ratio < max_ratio)
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{
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return point2f_result;
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}
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@@ -456,7 +472,6 @@ bool QRDetect::localization()
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vector<Point2f> list_lines_y = separateVerticalLines(list_lines_x);
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if( list_lines_y.empty() ) { return false; }
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vector<Point2f> centers;
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Mat labels;
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kmeans(list_lines_y, 3, labels,
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TermCriteria( TermCriteria::EPS + TermCriteria::COUNT, 10, 0.1),
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@@ -464,7 +479,7 @@ bool QRDetect::localization()
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fixationPoints(localization_points);
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bool suare_flag = false, local_points_flag = false;
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bool square_flag = false, local_points_flag = false;
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double triangle_sides[3];
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double triangle_perim, square_area, img_square_area;
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if (localization_points.size() == 3)
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@@ -482,14 +497,14 @@ bool QRDetect::localization()
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if (square_area > (img_square_area * 0.2))
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{
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suare_flag = true;
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square_flag = true;
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}
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}
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else
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{
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local_points_flag = true;
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}
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if ((suare_flag || local_points_flag) && purpose == SHRINKING)
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if ((square_flag || local_points_flag) && purpose == SHRINKING)
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{
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localization_points.clear();
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bin_barcode = resized_bin_barcode.clone();
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@@ -1962,6 +1977,13 @@ bool QRDecode::createSpline(vector<vector<Point2f> > &spline_lines)
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}
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}
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}
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for (int i = 0; i < NUM_SIDES; i++)
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{
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if (spline_lines[i].size() == 0)
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{
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return false;
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}
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}
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return true;
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}
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@@ -2469,12 +2491,13 @@ std::string QRCodeDetector::decode(InputArray in, InputArray points,
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bool ok = qrdec.straightDecodingProcess();
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std::string decoded_info = qrdec.getDecodeInformation();
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if (ok && straight_qrcode.needed())
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if (!ok && straight_qrcode.needed())
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{
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qrdec.getStraightBarcode().convertTo(straight_qrcode,
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straight_qrcode.fixedType() ?
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straight_qrcode.type() : CV_32FC2);
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straight_qrcode.release();
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}
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else if (straight_qrcode.needed())
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{
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qrdec.getStraightBarcode().convertTo(straight_qrcode, CV_8UC1);
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}
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return ok ? decoded_info : std::string();
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@@ -2498,11 +2521,13 @@ cv::String QRCodeDetector::decodeCurved(InputArray in, InputArray points,
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std::string decoded_info = qrdec.getDecodeInformation();
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if (ok && straight_qrcode.needed())
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if (!ok && straight_qrcode.needed())
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{
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qrdec.getStraightBarcode().convertTo(straight_qrcode,
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straight_qrcode.fixedType() ?
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straight_qrcode.type() : CV_32FC2);
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straight_qrcode.release();
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}
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else if (straight_qrcode.needed())
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{
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qrdec.getStraightBarcode().convertTo(straight_qrcode, CV_8UC1);
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}
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return ok ? decoded_info : std::string();
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@@ -3593,18 +3618,18 @@ bool QRCodeDetector::decodeMulti(
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for_copy.push_back(straight_barcode[i]);
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}
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straight_barcode = for_copy;
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vector<Mat> tmp_straight_qrcodes;
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if (straight_qrcode.needed())
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if (straight_qrcode.needed() && straight_barcode.size() == 0)
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{
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straight_qrcode.release();
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}
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else if (straight_qrcode.needed())
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{
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straight_qrcode.create(Size((int)straight_barcode.size(), 1), CV_8UC1);
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vector<Mat> tmp_straight_qrcodes(straight_barcode.size());
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for (size_t i = 0; i < straight_barcode.size(); i++)
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{
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Mat tmp_straight_qrcode;
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tmp_straight_qrcodes.push_back(tmp_straight_qrcode);
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straight_barcode[i].convertTo(((OutputArray)tmp_straight_qrcodes[i]),
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((OutputArray)tmp_straight_qrcodes[i]).fixedType() ?
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((OutputArray)tmp_straight_qrcodes[i]).type() : CV_32FC2);
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straight_barcode[i].convertTo(tmp_straight_qrcodes[i], CV_8UC1);
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}
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straight_qrcode.createSameSize(tmp_straight_qrcodes, CV_32FC2);
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straight_qrcode.assign(tmp_straight_qrcodes);
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}
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decoded_info.clear();
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@@ -252,6 +252,8 @@ TEST_P(Objdetect_QRCode, regression)
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decoded_info = qrcode.detectAndDecode(src, corners, straight_barcode);
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ASSERT_FALSE(corners.empty());
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ASSERT_FALSE(decoded_info.empty());
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int expected_barcode_type = CV_8UC1;
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EXPECT_EQ(expected_barcode_type, straight_barcode.type());
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#else
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ASSERT_TRUE(qrcode.detect(src, corners));
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#endif
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@@ -317,6 +319,8 @@ TEST_P(Objdetect_QRCode_Close, regression)
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decoded_info = qrcode.detectAndDecode(barcode, corners, straight_barcode);
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ASSERT_FALSE(corners.empty());
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ASSERT_FALSE(decoded_info.empty());
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int expected_barcode_type = CV_8UC1;
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EXPECT_EQ(expected_barcode_type, straight_barcode.type());
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#else
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ASSERT_TRUE(qrcode.detect(barcode, corners));
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#endif
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@@ -382,6 +386,8 @@ TEST_P(Objdetect_QRCode_Monitor, regression)
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decoded_info = qrcode.detectAndDecode(barcode, corners, straight_barcode);
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ASSERT_FALSE(corners.empty());
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ASSERT_FALSE(decoded_info.empty());
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int expected_barcode_type = CV_8UC1;
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EXPECT_EQ(expected_barcode_type, straight_barcode.type());
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#else
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ASSERT_TRUE(qrcode.detect(barcode, corners));
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#endif
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@@ -442,6 +448,8 @@ TEST_P(Objdetect_QRCode_Curved, regression)
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decoded_info = qrcode.detectAndDecodeCurved(src, corners, straight_barcode);
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ASSERT_FALSE(corners.empty());
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ASSERT_FALSE(decoded_info.empty());
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int expected_barcode_type = CV_8UC1;
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EXPECT_EQ(expected_barcode_type, straight_barcode.type());
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#else
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ASSERT_TRUE(qrcode.detect(src, corners));
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#endif
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@@ -502,6 +510,9 @@ TEST_P(Objdetect_QRCode_Multi, regression)
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EXPECT_TRUE(qrcode.detectAndDecodeMulti(src, decoded_info, corners, straight_barcode));
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ASSERT_FALSE(corners.empty());
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ASSERT_FALSE(decoded_info.empty());
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int expected_barcode_type = CV_8UC1;
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for(size_t i = 0; i < straight_barcode.size(); i++)
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EXPECT_EQ(expected_barcode_type, straight_barcode[i].type());
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#else
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ASSERT_TRUE(qrcode.detectMulti(src, corners));
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#endif
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@@ -612,6 +623,32 @@ TEST(Objdetect_QRCode_detectMulti, detect_regression_16961)
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EXPECT_EQ(corners.size(), expect_corners_size);
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}
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TEST(Objdetect_QRCode_decodeMulti, check_output_parameters_type_19363)
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{
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const std::string name_current_image = "9_qrcodes.jpg";
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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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#ifdef HAVE_QUIRC
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QRCodeDetector qrcode;
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std::vector<Point> corners;
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std::vector<cv::String> decoded_info;
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#if 0 // FIXIT: OutputArray::create() type check
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std::vector<Mat2b> straight_barcode_nchannels;
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EXPECT_ANY_THROW(qrcode.detectAndDecodeMulti(src, decoded_info, corners, straight_barcode_nchannels));
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#endif
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int expected_barcode_type = CV_8UC1;
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std::vector<Mat1b> straight_barcode;
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EXPECT_TRUE(qrcode.detectAndDecodeMulti(src, decoded_info, corners, straight_barcode));
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ASSERT_FALSE(corners.empty());
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for(size_t i = 0; i < straight_barcode.size(); i++)
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EXPECT_EQ(expected_barcode_type, straight_barcode[i].type());
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#endif
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}
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TEST(Objdetect_QRCode_basic, not_found_qrcode)
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{
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std::vector<Point> corners;
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