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Open Source Computer Vision Library
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75 lines
3.0 KiB
75 lines
3.0 KiB
7 years ago
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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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#ifdef HAVE_GSTREAMER
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namespace opencv_test
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{
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typedef tuple< string, Size, Size, int > Param;
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typedef testing::TestWithParam< Param > Videoio_Gstreamer_Test;
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TEST_P(Videoio_Gstreamer_Test, test_object_structure)
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{
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string format = get<0>(GetParam());
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Size frame_size = get<1>(GetParam());
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Size mat_size = get<2>(GetParam());
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int convertToRGB = get<3>(GetParam());
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int count_frames = 10;
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std::ostringstream pipeline;
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pipeline << "videotestsrc pattern=ball num-buffers=" << count_frames << " ! " << format;
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pipeline << ", framerate=1/1, width=" << frame_size.width << ", height=" << frame_size.height << " ! appsink";
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VideoCapture cap(pipeline.str(), CAP_GSTREAMER);
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ASSERT_TRUE(cap.isOpened());
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Mat buffer, decode_frame, gray_frame, rgb_frame;
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for (int i = 0; i < count_frames; ++i)
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{
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cap >> buffer;
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decode_frame = (format == "jpegenc ! image/jpeg") ? imdecode(buffer, IMREAD_UNCHANGED) : buffer;
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EXPECT_EQ(mat_size, decode_frame.size());
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cvtColor(decode_frame, rgb_frame, convertToRGB);
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cvtColor(rgb_frame, gray_frame, COLOR_RGB2GRAY);
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vector<Vec3f> circles;
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HoughCircles(gray_frame, circles, HOUGH_GRADIENT, 1, gray_frame.rows/16, 100, 30, 1, 30 );
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if (circles.size() == 1)
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{
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EXPECT_NEAR(18.5, circles[0][2], 1.0);
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}
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else
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{
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ADD_FAILURE() << "Found " << circles.size() << " on frame " << i ;
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}
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}
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{
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Mat frame;
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cap >> frame;
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EXPECT_TRUE(frame.empty());
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}
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cap.release();
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ASSERT_FALSE(cap.isOpened());
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}
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Param test_data[] = {
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make_tuple("video/x-raw, format=BGR" , Size(640, 480), Size(640, 480), COLOR_BGR2RGB),
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make_tuple("video/x-raw, format=GRAY8", Size(640, 480), Size(640, 480), COLOR_GRAY2RGB),
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make_tuple("video/x-raw, format=UYVY" , Size(640, 480), Size(640, 480), COLOR_YUV2RGB_UYVY),
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make_tuple("video/x-raw, format=YUY2" , Size(640, 480), Size(640, 480), COLOR_YUV2RGB_YUY2),
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make_tuple("video/x-raw, format=YVYU" , Size(640, 480), Size(640, 480), COLOR_YUV2RGB_YVYU),
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make_tuple("video/x-raw, format=NV12" , Size(640, 480), Size(640, 720), COLOR_YUV2RGB_NV12),
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make_tuple("video/x-raw, format=NV21" , Size(640, 480), Size(640, 720), COLOR_YUV2RGB_NV21),
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make_tuple("video/x-raw, format=YV12" , Size(640, 480), Size(640, 720), COLOR_YUV2RGB_YV12),
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make_tuple("video/x-raw, format=I420" , Size(640, 480), Size(640, 720), COLOR_YUV2RGB_I420),
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make_tuple("video/x-bayer" , Size(640, 480), Size(640, 480), COLOR_BayerBG2RGB),
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make_tuple("jpegenc ! image/jpeg" , Size(640, 480), Size(640, 480), COLOR_BGR2RGB)
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};
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INSTANTIATE_TEST_CASE_P(videoio, Videoio_Gstreamer_Test, testing::ValuesIn(test_data));
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} // namespace
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#endif
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