mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
224 lines
8.9 KiB
224 lines
8.9 KiB
// 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 { |
|
|
|
typedef tuple< string, Size, Size, int > Param; |
|
typedef testing::TestWithParam< Param > videoio_gstreamer; |
|
|
|
TEST_P(videoio_gstreamer, read_check) |
|
{ |
|
if (!videoio_registry::hasBackend(CAP_GSTREAMER)) |
|
throw SkipTestException("GStreamer backend was not found"); |
|
|
|
string format = get<0>(GetParam()); |
|
Size frame_size = get<1>(GetParam()); |
|
Size mat_size = get<2>(GetParam()); |
|
int convertToRGB = get<3>(GetParam()); |
|
int count_frames = 10; |
|
std::ostringstream pipeline; |
|
pipeline << "videotestsrc pattern=ball num-buffers=" << count_frames << " ! " << format; |
|
pipeline << ", width=" << frame_size.width << ", height=" << frame_size.height << " ! appsink"; |
|
VideoCapture cap; |
|
ASSERT_NO_THROW(cap.open(pipeline.str(), CAP_GSTREAMER)); |
|
ASSERT_TRUE(cap.isOpened()); |
|
|
|
Mat buffer, decode_frame, gray_frame, rgb_frame; |
|
for (int i = 0; i < count_frames; ++i) |
|
{ |
|
cap >> buffer; |
|
decode_frame = (format == "jpegenc ! image/jpeg") ? imdecode(buffer, IMREAD_UNCHANGED) : buffer; |
|
EXPECT_EQ(mat_size, decode_frame.size()); |
|
|
|
cvtColor(decode_frame, rgb_frame, convertToRGB); |
|
cvtColor(rgb_frame, gray_frame, COLOR_RGB2GRAY); |
|
if (gray_frame.depth() == CV_16U) |
|
{ |
|
gray_frame.convertTo(gray_frame, CV_8U, 255.0/65535); |
|
} |
|
|
|
vector<Vec3f> circles; |
|
HoughCircles(gray_frame, circles, HOUGH_GRADIENT, 1, gray_frame.rows/16, 100, 30, 1, 30 ); |
|
if (circles.size() == 1) |
|
{ |
|
EXPECT_NEAR(18.5, circles[0][2], 1.0); |
|
} |
|
else |
|
{ |
|
ADD_FAILURE() << "Found " << circles.size() << " on frame " << i ; |
|
} |
|
} |
|
{ |
|
Mat frame; |
|
cap >> frame; |
|
EXPECT_TRUE(frame.empty()); |
|
} |
|
cap.release(); |
|
ASSERT_FALSE(cap.isOpened()); |
|
} |
|
|
|
static const Param test_data[] = { |
|
make_tuple("video/x-raw, format=BGR" , Size(640, 480), Size(640, 480), COLOR_BGR2RGB), |
|
make_tuple("video/x-raw, format=BGRA" , Size(640, 480), Size(640, 480), COLOR_BGRA2RGB), |
|
make_tuple("video/x-raw, format=RGBA" , Size(640, 480), Size(640, 480), COLOR_RGBA2RGB), |
|
make_tuple("video/x-raw, format=BGRx" , Size(640, 480), Size(640, 480), COLOR_BGRA2RGB), |
|
make_tuple("video/x-raw, format=RGBx" , Size(640, 480), Size(640, 480), COLOR_RGBA2RGB), |
|
make_tuple("video/x-raw, format=GRAY8", Size(640, 480), Size(640, 480), COLOR_GRAY2RGB), |
|
make_tuple("video/x-raw, format=UYVY" , Size(640, 480), Size(640, 480), COLOR_YUV2RGB_UYVY), |
|
make_tuple("video/x-raw, format=YUY2" , Size(640, 480), Size(640, 480), COLOR_YUV2RGB_YUY2), |
|
make_tuple("video/x-raw, format=YVYU" , Size(640, 480), Size(640, 480), COLOR_YUV2RGB_YVYU), |
|
make_tuple("video/x-raw, format=NV12" , Size(640, 480), Size(640, 720), COLOR_YUV2RGB_NV12), |
|
make_tuple("video/x-raw, format=NV21" , Size(640, 480), Size(640, 720), COLOR_YUV2RGB_NV21), |
|
make_tuple("video/x-raw, format=YV12" , Size(640, 480), Size(640, 720), COLOR_YUV2RGB_YV12), |
|
make_tuple("video/x-raw, format=I420" , Size(640, 480), Size(640, 720), COLOR_YUV2RGB_I420), |
|
make_tuple("video/x-bayer" , Size(640, 480), Size(640, 480), COLOR_BayerBG2RGB), |
|
make_tuple("jpegenc ! image/jpeg" , Size(640, 480), Size(640, 480), COLOR_BGR2RGB), |
|
|
|
// unaligned cases, strides information must be used |
|
make_tuple("video/x-raw, format=BGR" , Size(322, 242), Size(322, 242), COLOR_BGR2RGB), |
|
make_tuple("video/x-raw, format=GRAY8", Size(322, 242), Size(322, 242), COLOR_GRAY2RGB), |
|
make_tuple("video/x-raw, format=NV12" , Size(322, 242), Size(322, 363), COLOR_YUV2RGB_NV12), |
|
make_tuple("video/x-raw, format=NV21" , Size(322, 242), Size(322, 363), COLOR_YUV2RGB_NV21), |
|
make_tuple("video/x-raw, format=YV12" , Size(322, 242), Size(322, 363), COLOR_YUV2RGB_YV12), |
|
make_tuple("video/x-raw, format=I420" , Size(322, 242), Size(322, 363), COLOR_YUV2RGB_I420), |
|
|
|
// 16 bit |
|
make_tuple("video/x-raw, format=GRAY16_LE", Size(640, 480), Size(640, 480), COLOR_GRAY2RGB), |
|
make_tuple("video/x-raw, format=GRAY16_BE", Size(640, 480), Size(640, 480), COLOR_GRAY2RGB), |
|
}; |
|
|
|
INSTANTIATE_TEST_CASE_P(videoio, videoio_gstreamer, testing::ValuesIn(test_data)); |
|
|
|
TEST(videoio_gstreamer, unsupported_pipeline) |
|
{ |
|
if (!videoio_registry::hasBackend(CAP_GSTREAMER)) |
|
throw SkipTestException("GStreamer backend was not found"); |
|
|
|
// could not link videoconvert0 to matroskamux0, matroskamux0 can't handle caps video/x-raw, format=(string)RGBA |
|
std::string pipeline = "appsrc ! videoconvert ! video/x-raw, format=(string)RGBA ! matroskamux ! filesink location=test.mkv"; |
|
Size frame_size(640, 480); |
|
|
|
VideoWriter writer; |
|
EXPECT_NO_THROW(writer.open(pipeline, CAP_GSTREAMER, 0/*fourcc*/, 30/*fps*/, frame_size, true)); |
|
EXPECT_FALSE(writer.isOpened()); |
|
// no frames |
|
EXPECT_NO_THROW(writer.release()); |
|
|
|
} |
|
|
|
TEST(videoio_gstreamer, gray16_writing) |
|
{ |
|
if (!videoio_registry::hasBackend(CAP_GSTREAMER)) |
|
throw SkipTestException("GStreamer backend was not found"); |
|
|
|
Size frame_size(320, 240); |
|
|
|
// generate a noise frame |
|
Mat frame = Mat(frame_size, CV_16U); |
|
randu(frame, 0, 65535); |
|
|
|
// generate a temp filename, and fix path separators to how GStreamer expects them |
|
cv::String temp_file = cv::tempfile(".raw"); |
|
std::replace(temp_file.begin(), temp_file.end(), '\\', '/'); |
|
|
|
// write noise frame to file using GStreamer |
|
std::ostringstream writer_pipeline; |
|
writer_pipeline << "appsrc ! filesink location=" << temp_file; |
|
std::vector<int> params { |
|
VIDEOWRITER_PROP_IS_COLOR, 0/*false*/, |
|
VIDEOWRITER_PROP_DEPTH, CV_16U |
|
}; |
|
VideoWriter writer; |
|
ASSERT_NO_THROW(writer.open(writer_pipeline.str(), CAP_GSTREAMER, 0/*fourcc*/, 30/*fps*/, frame_size, params)); |
|
ASSERT_TRUE(writer.isOpened()); |
|
ASSERT_NO_THROW(writer.write(frame)); |
|
ASSERT_NO_THROW(writer.release()); |
|
|
|
// read noise frame back in |
|
Mat written_frame(frame_size, CV_16U); |
|
std::ifstream fs(temp_file, std::ios::in | std::ios::binary); |
|
fs.read((char*)written_frame.ptr(0), frame_size.width * frame_size.height * 2); |
|
ASSERT_TRUE(fs); |
|
fs.close(); |
|
|
|
// compare to make sure it's identical |
|
EXPECT_EQ(0, cv::norm(frame, written_frame, NORM_INF)); |
|
|
|
// remove temp file |
|
EXPECT_EQ(0, remove(temp_file.c_str())); |
|
} |
|
|
|
TEST(videoio_gstreamer, timeout_property) |
|
{ |
|
if (!videoio_registry::hasBackend(CAP_GSTREAMER)) |
|
throw SkipTestException("GStreamer backend was not found"); |
|
|
|
VideoCapture cap; |
|
cap.open("videotestsrc ! appsink", CAP_GSTREAMER); |
|
ASSERT_TRUE(cap.isOpened()); |
|
const double default_timeout = 30000; // 30 seconds |
|
const double open_timeout = 5678; // 3 seconds |
|
const double read_timeout = 1234; // 1 second |
|
EXPECT_NEAR(default_timeout, cap.get(CAP_PROP_OPEN_TIMEOUT_MSEC), 1e-3); |
|
const double current_read_timeout = cap.get(CAP_PROP_READ_TIMEOUT_MSEC); |
|
const bool read_timeout_supported = current_read_timeout > 0.0; |
|
if (read_timeout_supported) |
|
{ |
|
EXPECT_NEAR(default_timeout, current_read_timeout, 1e-3); |
|
} |
|
cap.set(CAP_PROP_OPEN_TIMEOUT_MSEC, open_timeout); |
|
EXPECT_NEAR(open_timeout, cap.get(CAP_PROP_OPEN_TIMEOUT_MSEC), 1e-3); |
|
if (read_timeout_supported) |
|
{ |
|
cap.set(CAP_PROP_READ_TIMEOUT_MSEC, read_timeout); |
|
EXPECT_NEAR(read_timeout, cap.get(CAP_PROP_READ_TIMEOUT_MSEC), 1e-3); |
|
} |
|
} |
|
|
|
//============================================================================== |
|
// Seeking test with manual GStreamer pipeline |
|
typedef testing::TestWithParam<string> gstreamer_bunny; |
|
|
|
TEST_P(gstreamer_bunny, manual_seek) |
|
{ |
|
if (!videoio_registry::hasBackend(CAP_GSTREAMER)) |
|
throw SkipTestException("GStreamer backend was not found"); |
|
|
|
const string video_file = BunnyParameters::getFilename("." + GetParam()); |
|
const string pipeline = "filesrc location=" + video_file + " ! decodebin ! videoconvert ! video/x-raw, format=BGR ! appsink drop=1"; |
|
const double target_pos = 3000.0; |
|
const double ms_per_frame = 1000.0 / BunnyParameters::getFps(); |
|
VideoCapture cap; |
|
cap.open(pipeline, CAP_GSTREAMER); |
|
ASSERT_TRUE(cap.isOpened()); |
|
Mat img; |
|
for (int i = 0; i < 10; i++) |
|
{ |
|
cap >> img; |
|
} |
|
EXPECT_FALSE(img.empty()); |
|
cap.set(CAP_PROP_POS_MSEC, target_pos); |
|
cap >> img; |
|
EXPECT_FALSE(img.empty()); |
|
double actual_pos = cap.get(CAP_PROP_POS_MSEC); |
|
EXPECT_NEAR(actual_pos, target_pos, ms_per_frame); |
|
} |
|
|
|
static const string bunny_params[] = { |
|
// string("wmv"), |
|
string("mov"), |
|
string("mp4"), |
|
// string("mpg"), |
|
string("avi"), |
|
// string("h264"), |
|
// string("h265"), |
|
string("mjpg.avi") |
|
}; |
|
|
|
INSTANTIATE_TEST_CASE_P(videoio, gstreamer_bunny, testing::ValuesIn(bunny_params)); |
|
|
|
|
|
}} // namespace
|
|
|