49 lines
2.0 KiB
C++
49 lines
2.0 KiB
C++
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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(ximgproc_Edgeboxes, regression)
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{
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//Testing Edgeboxes implementation by asking for one proposal
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//on a simple test image from the PASCAL VOC 2012 dataset.
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std::vector<Rect> boxes;
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std::vector<float> scores;
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float expectedScore = 0.48742563f;
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Rect expectedProposal(158, 69, 125, 154);
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//Using sample model file, compute orientations map for use with edge detection.
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cv::String testImagePath = cvtest::TS::ptr()->get_data_path() + "cv/ximgproc/" + "pascal_voc_bird.png";
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Mat testImg = imread(testImagePath);
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ASSERT_FALSE(testImg.empty()) << "Could not load input image " << testImagePath;
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cvtColor(testImg, testImg, COLOR_BGR2RGB);
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testImg.convertTo(testImg, CV_32F, 1.0 / 255.0f);
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//Use the model for structured edge detection that is already provided in opencv_extra.
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cv::String model_path = cvtest::TS::ptr()->get_data_path() + "cv/ximgproc/" + "model.yml.gz";
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Ptr<StructuredEdgeDetection> sed = createStructuredEdgeDetection(model_path);
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Mat edgeImage, edgeOrientations;
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sed->detectEdges(testImg, edgeImage);
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sed->computeOrientation(edgeImage, edgeOrientations);
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//Obtain one proposal and its score from Edgeboxes.
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Ptr<EdgeBoxes> edgeboxes = createEdgeBoxes();
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edgeboxes->setMaxBoxes(1);
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edgeboxes->getBoundingBoxes(edgeImage, edgeOrientations, boxes, scores);
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//We asked for one proposal and thus one score, we better get one back only.
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ASSERT_TRUE(boxes.size() == 1);
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ASSERT_TRUE(scores.size() == 1);
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//Check the proposal and its score.
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EXPECT_NEAR(scores[0], expectedScore, 1e-8);
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EXPECT_EQ(expectedProposal.x, boxes[0].x);
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EXPECT_EQ(expectedProposal.y, boxes[0].y);
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EXPECT_EQ(expectedProposal.height, boxes[0].height);
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EXPECT_EQ(expectedProposal.width, boxes[0].width);
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}
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}} // namespace
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