// This file is part of OpenCV project. // It is subject to the license terms in the LICENSE file found in the top-level directory // of this distribution and at http://opencv.org/license.html. #include "test_precomp.hpp" namespace opencv_test { namespace { TEST(ximgproc_Edgeboxes, regression) { //Testing Edgeboxes implementation by asking for one proposal //on a simple test image from the PASCAL VOC 2012 dataset. std::vector boxes; std::vector scores; float expectedScore = 0.48742563f; Rect expectedProposal(158, 69, 125, 154); //Using sample model file, compute orientations map for use with edge detection. cv::String testImagePath = cvtest::TS::ptr()->get_data_path() + "cv/ximgproc/" + "pascal_voc_bird.png"; Mat testImg = imread(testImagePath); ASSERT_FALSE(testImg.empty()) << "Could not load input image " << testImagePath; cvtColor(testImg, testImg, COLOR_BGR2RGB); testImg.convertTo(testImg, CV_32F, 1.0 / 255.0f); //Use the model for structured edge detection that is already provided in opencv_extra. cv::String model_path = cvtest::TS::ptr()->get_data_path() + "cv/ximgproc/" + "model.yml.gz"; Ptr sed = createStructuredEdgeDetection(model_path); Mat edgeImage, edgeOrientations; sed->detectEdges(testImg, edgeImage); sed->computeOrientation(edgeImage, edgeOrientations); //Obtain one proposal and its score from Edgeboxes. Ptr edgeboxes = createEdgeBoxes(); edgeboxes->setMaxBoxes(1); edgeboxes->getBoundingBoxes(edgeImage, edgeOrientations, boxes, scores); //We asked for one proposal and thus one score, we better get one back only. ASSERT_TRUE(boxes.size() == 1); ASSERT_TRUE(scores.size() == 1); //Check the proposal and its score. EXPECT_NEAR(scores[0], expectedScore, 1e-8); EXPECT_EQ(expectedProposal.x, boxes[0].x); EXPECT_EQ(expectedProposal.y, boxes[0].y); EXPECT_EQ(expectedProposal.height, boxes[0].height); EXPECT_EQ(expectedProposal.width, boxes[0].width); } }} // namespace