提交 87b569d8 编写于 作者: M Maksim Shabunin

Rewritten some tests in videoio and imgcodecs modules

general:
- all iterative tests have been replaced with parameterized tests
- old-style try..catch tests have been modified to use EXPECT_/ASSERT_ gtest macros
- added temporary files cleanup
- modified MatComparator error message formatting

imgcodecs:
- test_grfmt.cpp split to test_jpg.cpp, test_png.cpp, test_tiff.cpp, etc.

videoio:
- added public HAVE_VIDEO_INPUT, HAVE_VIDEO_OUTPUT definitions to cvconfig.h
- built-in MotionJPEG codec could not be tested on some platforms (read_write test was disabled if ffmpeg is off, encoding/decoding was handled by ffmpeg otherwise).
- image-related tests moved to imgcodecs (Videoio_Image)
- several property get/set tests have been combined into one
- added MotionJPEG test video to opencv_extra
上级 8b664d61
......@@ -217,6 +217,26 @@
/* OpenVX */
#cmakedefine HAVE_OPENVX
#if defined(HAVE_XINE) || \
defined(HAVE_GSTREAMER) || \
defined(HAVE_QUICKTIME) || \
defined(HAVE_QTKIT) || \
defined(HAVE_AVFOUNDATION) || \
/*defined(HAVE_OPENNI) || too specialized */ \
defined(HAVE_FFMPEG) || \
defined(HAVE_MSMF)
#define HAVE_VIDEO_INPUT
#endif
#if /*defined(HAVE_XINE) || */\
defined(HAVE_GSTREAMER) || \
defined(HAVE_QUICKTIME) || \
defined(HAVE_QTKIT) || \
defined(HAVE_AVFOUNDATION) || \
defined(HAVE_FFMPEG) || \
defined(HAVE_MSMF)
#define HAVE_VIDEO_OUTPUT
#endif
#endif // OPENCV_CVCONFIG_H_INCLUDED
......@@ -46,23 +46,10 @@ using namespace std;
using namespace testing;
using namespace perf;
#if defined(HAVE_XINE) || \
defined(HAVE_GSTREAMER) || \
defined(HAVE_QUICKTIME) || \
defined(HAVE_QTKIT) || \
defined(HAVE_AVFOUNDATION) || \
defined(HAVE_FFMPEG) || \
defined(WIN32) /* assume that we have ffmpeg */
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 1
#else
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 0
#endif
//////////////////////////////////////////////////////
// MOG
#if BUILD_WITH_VIDEO_INPUT_SUPPORT
#ifdef HAVE_VIDEO_INPUT
DEF_PARAM_TEST(Video_Cn_LearningRate, string, MatCn, double);
......@@ -167,7 +154,7 @@ PERF_TEST_P(Video_Cn_LearningRate, MOG,
//////////////////////////////////////////////////////
// MOG2
#if BUILD_WITH_VIDEO_INPUT_SUPPORT
#ifdef HAVE_VIDEO_INPUT
DEF_PARAM_TEST(Video_Cn, string, int);
......@@ -324,7 +311,7 @@ PERF_TEST_P(Video_Cn, DISABLED_MOG2,
//////////////////////////////////////////////////////
// MOG2GetBackgroundImage
#if BUILD_WITH_VIDEO_INPUT_SUPPORT
#ifdef HAVE_VIDEO_INPUT
PERF_TEST_P(Video_Cn, MOG2GetBackgroundImage,
Combine(Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"),
......
......@@ -46,23 +46,10 @@
using namespace cvtest;
#if defined(HAVE_XINE) || \
defined(HAVE_GSTREAMER) || \
defined(HAVE_QUICKTIME) || \
defined(HAVE_QTKIT) || \
defined(HAVE_AVFOUNDATION) || \
defined(HAVE_FFMPEG) || \
defined(WIN32) /* assume that we have ffmpeg */
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 1
#else
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 0
#endif
//////////////////////////////////////////////////////
// MOG2
#if BUILD_WITH_VIDEO_INPUT_SUPPORT
#ifdef HAVE_VIDEO_INPUT
namespace
{
......
......@@ -47,25 +47,12 @@ using namespace std;
using namespace testing;
using namespace perf;
#if defined(HAVE_XINE) || \
defined(HAVE_GSTREAMER) || \
defined(HAVE_QUICKTIME) || \
defined(HAVE_QTKIT) || \
defined(HAVE_AVFOUNDATION) || \
defined(HAVE_FFMPEG) || \
defined(WIN32) /* assume that we have ffmpeg */
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 1
#else
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 0
#endif
DEF_PARAM_TEST_1(FileName, string);
//////////////////////////////////////////////////////
// VideoReader
#if defined(HAVE_NVCUVID) && BUILD_WITH_VIDEO_INPUT_SUPPORT
#if defined(HAVE_NVCUVID) && defined(HAVE_VIDEO_INPUT)
PERF_TEST_P(FileName, VideoReader, Values("gpu/video/768x576.avi", "gpu/video/1920x1080.avi"))
{
......
......@@ -50,23 +50,10 @@ using namespace std;
using namespace testing;
using namespace perf;
#if defined(HAVE_XINE) || \
defined(HAVE_GSTREAMER) || \
defined(HAVE_QUICKTIME) || \
defined(HAVE_QTKIT) || \
defined(HAVE_AVFOUNDATION) || \
defined(HAVE_FFMPEG) || \
defined(WIN32) /* assume that we have ffmpeg */
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 1
#else
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 0
#endif
//////////////////////////////////////////////////////
// FGDStatModel
#if BUILD_WITH_VIDEO_INPUT_SUPPORT
#ifdef HAVE_VIDEO_INPUT
DEF_PARAM_TEST_1(Video, string);
......@@ -136,7 +123,7 @@ PERF_TEST_P(Video, FGDStatModel,
//////////////////////////////////////////////////////
// GMG
#if BUILD_WITH_VIDEO_INPUT_SUPPORT
#ifdef HAVE_VIDEO_INPUT
DEF_PARAM_TEST(Video_Cn_MaxFeatures, string, MatCn, int);
......
#include "test_precomp.hpp"
using namespace cv;
using namespace std;
using namespace std::tr1;
#ifdef HAVE_JPEG
/**
* Test for check whether reading exif orientation tag was processed successfully or not
* The test info is the set of 8 images named testExifRotate_{1 to 8}.jpg
* The test image is the square 10x10 points divided by four sub-squares:
* (R corresponds to Red, G to Green, B to Blue, W to white)
* --------- ---------
* | R | G | | G | R |
* |-------| - (tag 1) |-------| - (tag 2)
* | B | W | | W | B |
* --------- ---------
*
* --------- ---------
* | W | B | | B | W |
* |-------| - (tag 3) |-------| - (tag 4)
* | G | R | | R | G |
* --------- ---------
*
* --------- ---------
* | R | B | | G | W |
* |-------| - (tag 5) |-------| - (tag 6)
* | G | W | | R | B |
* --------- ---------
*
* --------- ---------
* | W | G | | B | R |
* |-------| - (tag 7) |-------| - (tag 8)
* | B | R | | W | G |
* --------- ---------
*
*
* Every image contains exif field with orientation tag (0x112)
* After reading each image the corresponding matrix must be read as
* ---------
* | R | G |
* |-------|
* | B | W |
* ---------
*
*/
typedef testing::TestWithParam<string> Imgcodecs_Jpeg_Exif;
TEST_P(Imgcodecs_Jpeg_Exif, exif_orientation)
{
const string root = cvtest::TS::ptr()->get_data_path();
const string filename = root + GetParam();
const int colorThresholdHigh = 250;
const int colorThresholdLow = 5;
Mat m_img = imread(filename);
ASSERT_FALSE(m_img.empty());
Vec3b vec;
//Checking the first quadrant (with supposed red)
vec = m_img.at<Vec3b>(2, 2); //some point inside the square
EXPECT_LE(vec.val[0], colorThresholdLow);
EXPECT_LE(vec.val[1], colorThresholdLow);
EXPECT_GE(vec.val[2], colorThresholdHigh);
//Checking the second quadrant (with supposed green)
vec = m_img.at<Vec3b>(2, 7); //some point inside the square
EXPECT_LE(vec.val[0], colorThresholdLow);
EXPECT_GE(vec.val[1], colorThresholdHigh);
EXPECT_LE(vec.val[2], colorThresholdLow);
//Checking the third quadrant (with supposed blue)
vec = m_img.at<Vec3b>(7, 2); //some point inside the square
EXPECT_GE(vec.val[0], colorThresholdHigh);
EXPECT_LE(vec.val[1], colorThresholdLow);
EXPECT_LE(vec.val[2], colorThresholdLow);
}
const string exif_files[] =
{
"readwrite/testExifOrientation_1.jpg",
"readwrite/testExifOrientation_2.jpg",
"readwrite/testExifOrientation_3.jpg",
"readwrite/testExifOrientation_4.jpg",
"readwrite/testExifOrientation_5.jpg",
"readwrite/testExifOrientation_6.jpg",
"readwrite/testExifOrientation_7.jpg",
"readwrite/testExifOrientation_8.jpg"
};
INSTANTIATE_TEST_CASE_P(ExifFiles, Imgcodecs_Jpeg_Exif,
testing::ValuesIn(exif_files));
//==================================================================================================
TEST(Imgcodecs_Jpeg, encode_empty)
{
cv::Mat img;
std::vector<uchar> jpegImg;
ASSERT_THROW(cv::imencode(".jpg", img, jpegImg), cv::Exception);
}
TEST(Imgcodecs_Jpeg, encode_decode_progressive_jpeg)
{
cvtest::TS& ts = *cvtest::TS::ptr();
string input = string(ts.get_data_path()) + "../cv/shared/lena.png";
cv::Mat img = cv::imread(input);
ASSERT_FALSE(img.empty());
std::vector<int> params;
params.push_back(IMWRITE_JPEG_PROGRESSIVE);
params.push_back(1);
string output_progressive = cv::tempfile(".jpg");
EXPECT_NO_THROW(cv::imwrite(output_progressive, img, params));
cv::Mat img_jpg_progressive = cv::imread(output_progressive);
string output_normal = cv::tempfile(".jpg");
EXPECT_NO_THROW(cv::imwrite(output_normal, img));
cv::Mat img_jpg_normal = cv::imread(output_normal);
EXPECT_EQ(0, cvtest::norm(img_jpg_progressive, img_jpg_normal, NORM_INF));
remove(output_progressive.c_str());
remove(output_normal.c_str());
}
TEST(Imgcodecs_Jpeg, encode_decode_optimize_jpeg)
{
cvtest::TS& ts = *cvtest::TS::ptr();
string input = string(ts.get_data_path()) + "../cv/shared/lena.png";
cv::Mat img = cv::imread(input);
ASSERT_FALSE(img.empty());
std::vector<int> params;
params.push_back(IMWRITE_JPEG_OPTIMIZE);
params.push_back(1);
string output_optimized = cv::tempfile(".jpg");
EXPECT_NO_THROW(cv::imwrite(output_optimized, img, params));
cv::Mat img_jpg_optimized = cv::imread(output_optimized);
string output_normal = cv::tempfile(".jpg");
EXPECT_NO_THROW(cv::imwrite(output_normal, img));
cv::Mat img_jpg_normal = cv::imread(output_normal);
EXPECT_EQ(0, cvtest::norm(img_jpg_optimized, img_jpg_normal, NORM_INF));
remove(output_optimized.c_str());
remove(output_normal.c_str());
}
TEST(Imgcodecs_Jpeg, encode_decode_rst_jpeg)
{
cvtest::TS& ts = *cvtest::TS::ptr();
string input = string(ts.get_data_path()) + "../cv/shared/lena.png";
cv::Mat img = cv::imread(input);
ASSERT_FALSE(img.empty());
std::vector<int> params;
params.push_back(IMWRITE_JPEG_RST_INTERVAL);
params.push_back(1);
string output_rst = cv::tempfile(".jpg");
EXPECT_NO_THROW(cv::imwrite(output_rst, img, params));
cv::Mat img_jpg_rst = cv::imread(output_rst);
string output_normal = cv::tempfile(".jpg");
EXPECT_NO_THROW(cv::imwrite(output_normal, img));
cv::Mat img_jpg_normal = cv::imread(output_normal);
EXPECT_EQ(0, cvtest::norm(img_jpg_rst, img_jpg_normal, NORM_INF));
remove(output_rst.c_str());
remove(output_normal.c_str());
}
#endif // HAVE_JPEG
#include "test_precomp.hpp"
using namespace cv;
using namespace std;
using namespace std::tr1;
#ifdef HAVE_PNG
TEST(Imgcodecs_Png, write_big)
{
const string root = cvtest::TS::ptr()->get_data_path();
const string filename = root + "readwrite/read.png";
const string dst_file = cv::tempfile(".png");
Mat img;
ASSERT_NO_THROW(img = imread(filename));
ASSERT_FALSE(img.empty());
EXPECT_EQ(13043, img.cols);
EXPECT_EQ(13917, img.rows);
ASSERT_NO_THROW(imwrite(dst_file, img));
remove(dst_file.c_str());
}
TEST(Imgcodecs_Png, encode)
{
vector<uchar> buff;
Mat img_gt = Mat::zeros(1000, 1000, CV_8U);
vector<int> param;
param.push_back(IMWRITE_PNG_COMPRESSION);
param.push_back(3); //default(3) 0-9.
EXPECT_NO_THROW(imencode(".png", img_gt, buff, param));
Mat img;
EXPECT_NO_THROW(img = imdecode(buff, IMREAD_ANYDEPTH)); // hang
EXPECT_FALSE(img.empty());
EXPECT_PRED_FORMAT2(cvtest::MatComparator(0, 0), img, img_gt);
}
TEST(Imgcodecs_Png, regression_ImreadVSCvtColor)
{
const string root = cvtest::TS::ptr()->get_data_path();
const string imgName = root + "../cv/shared/lena.png";
Mat original_image = imread(imgName);
Mat gray_by_codec = imread(imgName, IMREAD_GRAYSCALE);
Mat gray_by_cvt;
cvtColor(original_image, gray_by_cvt, CV_BGR2GRAY);
Mat diff;
absdiff(gray_by_codec, gray_by_cvt, diff);
EXPECT_LT(cvtest::mean(diff)[0], 1.);
EXPECT_PRED_FORMAT2(cvtest::MatComparator(10, 0), gray_by_codec, gray_by_cvt);
}
// Test OpenCV issue 3075 is solved
TEST(Imgcodecs_Png, read_color_palette_with_alpha)
{
const string root = cvtest::TS::ptr()->get_data_path();
Mat img;
// First Test : Read PNG with alpha, imread flag -1
img = imread(root + "readwrite/color_palette_alpha.png", IMREAD_UNCHANGED);
ASSERT_FALSE(img.empty());
ASSERT_TRUE(img.channels() == 4);
// pixel is red in BGRA
EXPECT_EQ(img.at<Vec4b>(0, 0), Vec4b(0, 0, 255, 255));
EXPECT_EQ(img.at<Vec4b>(0, 1), Vec4b(0, 0, 255, 255));
// Second Test : Read PNG without alpha, imread flag -1
img = imread(root + "readwrite/color_palette_no_alpha.png", IMREAD_UNCHANGED);
ASSERT_FALSE(img.empty());
ASSERT_TRUE(img.channels() == 3);
// pixel is red in BGR
EXPECT_EQ(img.at<Vec3b>(0, 0), Vec3b(0, 0, 255));
EXPECT_EQ(img.at<Vec3b>(0, 1), Vec3b(0, 0, 255));
// Third Test : Read PNG with alpha, imread flag 1
img = imread(root + "readwrite/color_palette_alpha.png", IMREAD_COLOR);
ASSERT_FALSE(img.empty());
ASSERT_TRUE(img.channels() == 3);
// pixel is red in BGR
EXPECT_EQ(img.at<Vec3b>(0, 0), Vec3b(0, 0, 255));
EXPECT_EQ(img.at<Vec3b>(0, 1), Vec3b(0, 0, 255));
// Fourth Test : Read PNG without alpha, imread flag 1
img = imread(root + "readwrite/color_palette_no_alpha.png", IMREAD_COLOR);
ASSERT_FALSE(img.empty());
ASSERT_TRUE(img.channels() == 3);
// pixel is red in BGR
EXPECT_EQ(img.at<Vec3b>(0, 0), Vec3b(0, 0, 255));
EXPECT_EQ(img.at<Vec3b>(0, 1), Vec3b(0, 0, 255));
}
#endif // HAVE_PNG
......@@ -9,7 +9,6 @@
#ifndef __OPENCV_TEST_PRECOMP_HPP__
#define __OPENCV_TEST_PRECOMP_HPP__
#include <iostream>
#include "opencv2/ts.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
......@@ -17,4 +16,10 @@
#include "opencv2/core/private.hpp"
#include <fstream>
#include <sstream>
#include <iostream>
#include <algorithm>
#include <iterator>
#endif
#include "test_precomp.hpp"
#include <fstream>
#include <sstream>
#include <iostream>
using namespace cv;
using namespace std;
using namespace cvtest;
TEST(Imgcodecs_Image, read_write_bmp)
{
const size_t IMAGE_COUNT = 10;
const double thresDbell = 32;
for (size_t i = 0; i < IMAGE_COUNT; ++i)
{
stringstream s; s << i;
const string digit = s.str();
const string src_name = TS::ptr()->get_data_path() + "../python/images/QCIF_0" + digit + ".bmp";
const string dst_name = cv::tempfile((digit + ".bmp").c_str());
Mat image = imread(src_name);
ASSERT_FALSE(image.empty());
resize(image, image, Size(968, 757), 0.0, 0.0, INTER_CUBIC);
imwrite(dst_name, image);
Mat loaded = imread(dst_name);
ASSERT_FALSE(loaded.empty());
double psnr = cvtest::PSNR(loaded, image);
EXPECT_GT(psnr, thresDbell);
vector<uchar> from_file;
FILE *f = fopen(dst_name.c_str(), "rb");
fseek(f, 0, SEEK_END);
long len = ftell(f);
from_file.resize((size_t)len);
fseek(f, 0, SEEK_SET);
from_file.resize(fread(&from_file[0], 1, from_file.size(), f));
fclose(f);
vector<uchar> buf;
imencode(".bmp", image, buf);
ASSERT_EQ(buf, from_file);
Mat buf_loaded = imdecode(Mat(buf), 1);
ASSERT_FALSE(buf_loaded.empty());
psnr = cvtest::PSNR(buf_loaded, image);
EXPECT_GT(psnr, thresDbell);
remove(dst_name.c_str());
}
}
//==================================================================================================
typedef string Ext;
typedef testing::TestWithParam<Ext> Imgcodecs_Image;
TEST_P(Imgcodecs_Image, read_write)
{
const string ext = this->GetParam();
const string full_name = cv::tempfile(ext.c_str());
const string _name = TS::ptr()->get_data_path() + "../cv/shared/baboon.png";
const double thresDbell = 32;
Mat image = imread(_name);
image.convertTo(image, CV_8UC3);
ASSERT_FALSE(image.empty());
imwrite(full_name, image);
Mat loaded = imread(full_name);
ASSERT_FALSE(loaded.empty());
double psnr = cvtest::PSNR(loaded, image);
EXPECT_GT(psnr, thresDbell);
vector<uchar> from_file;
FILE *f = fopen(full_name.c_str(), "rb");
fseek(f, 0, SEEK_END);
long len = ftell(f);
from_file.resize((size_t)len);
fseek(f, 0, SEEK_SET);
from_file.resize(fread(&from_file[0], 1, from_file.size(), f));
fclose(f);
vector<uchar> buf;
imencode("." + ext, image, buf);
ASSERT_EQ(buf, from_file);
Mat buf_loaded = imdecode(Mat(buf), 1);
ASSERT_FALSE(buf_loaded.empty());
psnr = cvtest::PSNR(buf_loaded, image);
EXPECT_GT(psnr, thresDbell);
remove(full_name.c_str());
}
const string exts[] = {
#ifdef HAVE_PNG
"png",
#endif
#ifdef HAVE_TIFF
"tiff",
#endif
#ifdef HAVE_JPEG
"jpg",
#endif
#ifdef HAVE_JASPER
"jp2",
#endif
#if 0 /*defined HAVE_OPENEXR && !defined __APPLE__*/
"exr",
#endif
"bmp",
"ppm",
"ras"
};
INSTANTIATE_TEST_CASE_P(imgcodecs, Imgcodecs_Image, testing::ValuesIn(exts));
#include "test_precomp.hpp"
using namespace cv;
using namespace std;
using namespace std::tr1;
#ifdef HAVE_TIFF
// these defines are used to resolve conflict between tiff.h and opencv2/core/types_c.h
#define uint64 uint64_hack_
#define int64 int64_hack_
#include "tiff.h"
#ifdef ANDROID
// Test disabled as it uses a lot of memory.
// It is killed with SIGKILL by out of memory killer.
TEST(Imgcodecs_Tiff, DISABLED_decode_tile16384x16384)
#else
TEST(Imgcodecs_Tiff, decode_tile16384x16384)
#endif
{
// see issue #2161
cv::Mat big(16384, 16384, CV_8UC1, cv::Scalar::all(0));
string file3 = cv::tempfile(".tiff");
string file4 = cv::tempfile(".tiff");
std::vector<int> params;
params.push_back(TIFFTAG_ROWSPERSTRIP);
params.push_back(big.rows);
EXPECT_NO_THROW(cv::imwrite(file4, big, params));
EXPECT_NO_THROW(cv::imwrite(file3, big.colRange(0, big.cols - 1), params));
big.release();
try
{
cv::imread(file3, IMREAD_UNCHANGED);
EXPECT_NO_THROW(cv::imread(file4, IMREAD_UNCHANGED));
}
catch(const std::bad_alloc&)
{
// not enough memory
}
remove(file3.c_str());
remove(file4.c_str());
}
TEST(Imgcodecs_Tiff, write_read_16bit_big_little_endian)
{
// see issue #2601 "16-bit Grayscale TIFF Load Failures Due to Buffer Underflow and Endianness"
// Setup data for two minimal 16-bit grayscale TIFF files in both endian formats
uchar tiff_sample_data[2][86] = { {
// Little endian
0x49, 0x49, 0x2a, 0x00, 0x0c, 0x00, 0x00, 0x00, 0xad, 0xde, 0xef, 0xbe, 0x06, 0x00, 0x00, 0x01,
0x03, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x01, 0x03, 0x00, 0x01, 0x00,
0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x01, 0x03, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00,
0x00, 0x00, 0x06, 0x01, 0x03, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x11, 0x01,
0x04, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x17, 0x01, 0x04, 0x00, 0x01, 0x00,
0x00, 0x00, 0x04, 0x00, 0x00, 0x00 }, {
// Big endian
0x4d, 0x4d, 0x00, 0x2a, 0x00, 0x00, 0x00, 0x0c, 0xde, 0xad, 0xbe, 0xef, 0x00, 0x06, 0x01, 0x00,
0x00, 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x02, 0x00, 0x00, 0x01, 0x01, 0x00, 0x03, 0x00, 0x00,
0x00, 0x01, 0x00, 0x01, 0x00, 0x00, 0x01, 0x02, 0x00, 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x10,
0x00, 0x00, 0x01, 0x06, 0x00, 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x01, 0x00, 0x00, 0x01, 0x11,
0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x01, 0x17, 0x00, 0x04, 0x00, 0x00,
0x00, 0x01, 0x00, 0x00, 0x00, 0x04 }
};
// Test imread() for both a little endian TIFF and big endian TIFF
for (int i = 0; i < 2; i++)
{
string filename = cv::tempfile(".tiff");
// Write sample TIFF file
FILE* fp = fopen(filename.c_str(), "wb");
ASSERT_TRUE(fp != NULL);
ASSERT_EQ((size_t)1, fwrite(tiff_sample_data, 86, 1, fp));
fclose(fp);
Mat img = imread(filename, IMREAD_UNCHANGED);
EXPECT_EQ(1, img.rows);
EXPECT_EQ(2, img.cols);
EXPECT_EQ(CV_16U, img.type());
EXPECT_EQ(sizeof(ushort), img.elemSize());
EXPECT_EQ(1, img.channels());
EXPECT_EQ(0xDEAD, img.at<ushort>(0,0));
EXPECT_EQ(0xBEEF, img.at<ushort>(0,1));
remove(filename.c_str());
}
}
TEST(Imgcodecs_Tiff, decode_tile_remainder)
{
/* see issue #3472 - dealing with tiled images where the tile size is
* not a multiple of image size.
* The tiled images were created with 'convert' from ImageMagick,
* using the command 'convert <input> -define tiff:tile-geometry=128x128 -depth [8|16] <output>
* Note that the conversion to 16 bits expands the range from 0-255 to 0-255*255,
* so the test converts back but rounding errors cause small differences.
*/
const string root = cvtest::TS::ptr()->get_data_path();
cv::Mat img = imread(root + "readwrite/non_tiled.tif",-1);
ASSERT_FALSE(img.empty());
ASSERT_TRUE(img.channels() == 3);
cv::Mat tiled8 = imread(root + "readwrite/tiled_8.tif", -1);
ASSERT_FALSE(tiled8.empty());
ASSERT_PRED_FORMAT2(cvtest::MatComparator(0, 0), img, tiled8);
cv::Mat tiled16 = imread(root + "readwrite/tiled_16.tif", -1);
ASSERT_FALSE(tiled16.empty());
ASSERT_TRUE(tiled16.elemSize() == 6);
tiled16.convertTo(tiled8, CV_8UC3, 1./256.);
ASSERT_PRED_FORMAT2(cvtest::MatComparator(2, 0), img, tiled8);
// What about 32, 64 bit?
}
TEST(Imgcodecs_Tiff, decode_infinite_rowsperstrip)
{
const uchar sample_data[142] = {
0x49, 0x49, 0x2a, 0x00, 0x10, 0x00, 0x00, 0x00, 0x56, 0x54,
0x56, 0x5a, 0x59, 0x55, 0x5a, 0x00, 0x0a, 0x00, 0x00, 0x01,
0x03, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
0x01, 0x01, 0x03, 0x00, 0x01, 0x00, 0x00, 0x00, 0x07, 0x00,
0x00, 0x00, 0x02, 0x01, 0x03, 0x00, 0x01, 0x00, 0x00, 0x00,
0x08, 0x00, 0x00, 0x00, 0x03, 0x01, 0x03, 0x00, 0x01, 0x00,
0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x06, 0x01, 0x03, 0x00,
0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x11, 0x01,
0x04, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00,
0x15, 0x01, 0x03, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00,
0x00, 0x00, 0x16, 0x01, 0x04, 0x00, 0x01, 0x00, 0x00, 0x00,
0xff, 0xff, 0xff, 0xff, 0x17, 0x01, 0x04, 0x00, 0x01, 0x00,
0x00, 0x00, 0x07, 0x00, 0x00, 0x00, 0x1c, 0x01, 0x03, 0x00,
0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00
};
const string filename = cv::tempfile(".tiff");
std::ofstream outfile(filename.c_str(), std::ofstream::binary);
outfile.write(reinterpret_cast<const char *>(sample_data), sizeof sample_data);
outfile.close();
EXPECT_NO_THROW(cv::imread(filename, IMREAD_UNCHANGED));
remove(filename.c_str());
}
//==================================================================================================
typedef testing::TestWithParam<int> Imgcodecs_Tiff_Modes;
TEST_P(Imgcodecs_Tiff_Modes, decode_multipage)
{
const int mode = GetParam();
const string root = cvtest::TS::ptr()->get_data_path();
const string filename = root + "readwrite/multipage.tif";
const string page_files[] = {
"readwrite/multipage_p1.tif",
"readwrite/multipage_p2.tif",
"readwrite/multipage_p3.tif",
"readwrite/multipage_p4.tif",
"readwrite/multipage_p5.tif",
"readwrite/multipage_p6.tif"
};
const size_t page_count = sizeof(page_files)/sizeof(page_files[0]);
vector<Mat> pages;
bool res = imreadmulti(filename, pages, mode);
ASSERT_TRUE(res == true);
ASSERT_EQ(page_count, pages.size());
for (size_t i = 0; i < page_count; i++)
{
const Mat page = imread(root + page_files[i], mode);
EXPECT_PRED_FORMAT2(cvtest::MatComparator(0, 0), page, pages[i]);
}
}
const int all_modes[] =
{
IMREAD_UNCHANGED,
IMREAD_GRAYSCALE,
IMREAD_COLOR,
IMREAD_ANYDEPTH,
IMREAD_ANYCOLOR
};
INSTANTIATE_TEST_CASE_P(AllModes, Imgcodecs_Tiff_Modes, testing::ValuesIn(all_modes));
//==================================================================================================
TEST(Imgcodecs_Tiff, imdecode_no_exception_temporary_file_removed)
{
const string root = cvtest::TS::ptr()->get_data_path();
const string filename = root + "../cv/shared/lena.png";
cv::Mat img = cv::imread(filename);
ASSERT_FALSE(img.empty());
std::vector<uchar> buf;
EXPECT_NO_THROW(cv::imencode(".tiff", img, buf));
EXPECT_NO_THROW(cv::imdecode(buf, IMREAD_UNCHANGED));
}
#endif
#include "test_precomp.hpp"
using namespace cv;
using namespace std;
using namespace std::tr1;
#ifdef HAVE_WEBP
TEST(Imgcodecs_WebP, encode_decode_lossless_webp)
{
const string root = cvtest::TS::ptr()->get_data_path();
string filename = root + "../cv/shared/lena.png";
cv::Mat img = cv::imread(filename);
ASSERT_FALSE(img.empty());
string output = cv::tempfile(".webp");
EXPECT_NO_THROW(cv::imwrite(output, img)); // lossless
cv::Mat img_webp = cv::imread(output);
std::vector<unsigned char> buf;
FILE * wfile = NULL;
wfile = fopen(output.c_str(), "rb");
if (wfile != NULL)
{
fseek(wfile, 0, SEEK_END);
size_t wfile_size = ftell(wfile);
fseek(wfile, 0, SEEK_SET);
buf.resize(wfile_size);
size_t data_size = fread(&buf[0], 1, wfile_size, wfile);
if(wfile)
{
fclose(wfile);
}
if (data_size != wfile_size)
{
EXPECT_TRUE(false);
}
}
remove(output.c_str());
cv::Mat decode = cv::imdecode(buf, IMREAD_COLOR);
ASSERT_FALSE(decode.empty());
EXPECT_TRUE(cvtest::norm(decode, img_webp, NORM_INF) == 0);
ASSERT_FALSE(img_webp.empty());
EXPECT_TRUE(cvtest::norm(img, img_webp, NORM_INF) == 0);
}
TEST(Imgcodecs_WebP, encode_decode_lossy_webp)
{
const string root = cvtest::TS::ptr()->get_data_path();
std::string input = root + "../cv/shared/lena.png";
cv::Mat img = cv::imread(input);
ASSERT_FALSE(img.empty());
for(int q = 100; q>=0; q-=20)
{
std::vector<int> params;
params.push_back(IMWRITE_WEBP_QUALITY);
params.push_back(q);
string output = cv::tempfile(".webp");
EXPECT_NO_THROW(cv::imwrite(output, img, params));
cv::Mat img_webp = cv::imread(output);
remove(output.c_str());
EXPECT_FALSE(img_webp.empty());
EXPECT_EQ(3, img_webp.channels());
EXPECT_EQ(512, img_webp.cols);
EXPECT_EQ(512, img_webp.rows);
}
}
TEST(Imgcodecs_WebP, encode_decode_with_alpha_webp)
{
const string root = cvtest::TS::ptr()->get_data_path();
std::string input = root + "../cv/shared/lena.png";
cv::Mat img = cv::imread(input);
ASSERT_FALSE(img.empty());
std::vector<cv::Mat> imgs;
cv::split(img, imgs);
imgs.push_back(cv::Mat(imgs[0]));
imgs[imgs.size() - 1] = cv::Scalar::all(128);
cv::merge(imgs, img);
string output = cv::tempfile(".webp");
EXPECT_NO_THROW(cv::imwrite(output, img));
cv::Mat img_webp = cv::imread(output);
remove(output.c_str());
EXPECT_FALSE(img_webp.empty());
EXPECT_EQ(4, img_webp.channels());
EXPECT_EQ(512, img_webp.cols);
EXPECT_EQ(512, img_webp.rows);
}
#endif // HAVE_WEBP
......@@ -59,17 +59,4 @@
#include "cvconfig.h"
#include "../src/input_array_utility.hpp"
#if defined(HAVE_XINE) || \
defined(HAVE_GSTREAMER) || \
defined(HAVE_QUICKTIME) || \
defined(HAVE_QTKIT) || \
defined(HAVE_AVFOUNDATION) || \
defined(HAVE_FFMPEG) || \
defined(HAVE_MSMF) || \
defined(HAVE_VFW)
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 1
#else
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 0
#endif
#endif
......@@ -43,7 +43,7 @@
#include "test_precomp.hpp"
#include "opencv2/ts/ocl_test.hpp"
#if BUILD_WITH_VIDEO_INPUT_SUPPORT
#ifdef HAVE_VIDEO_INPUT
class AllignedFrameSource : public cv::superres::FrameSource
{
......@@ -295,4 +295,4 @@ OCL_TEST_F(SuperResolution, BTVL1)
#endif
#endif // BUILD_WITH_VIDEO_INPUT_SUPPORT
#endif // HAVE_VIDEO_INPUT
......@@ -2947,9 +2947,9 @@ MatComparator::operator()(const char* expr1, const char* expr2,
return ::testing::AssertionFailure()
<< "too big relative difference (" << realmaxdiff << " > "
<< maxdiff << ") between "
<< MatInfo(m1) << " '" << expr1 << "' and '" << expr2 << "' at " << Mat(loc0) << ".\n\n"
<< "'" << expr1 << "': " << MatPart(m1part, border > 0 ? &loc : 0) << ".\n\n"
<< "'" << expr2 << "': " << MatPart(m2part, border > 0 ? &loc : 0) << ".\n";
<< MatInfo(m1) << " '" << expr1 << "' and '" << expr2 << "' at " << Mat(loc0).t() << ".\n"
<< "- " << expr1 << ":\n" << MatPart(m1part, border > 0 ? &loc : 0) << ".\n"
<< "- " << expr2 << ":\n" << MatPart(m2part, border > 0 ? &loc : 0) << ".\n";
}
void printVersionInfo(bool useStdOut)
......
......@@ -2,20 +2,7 @@
#include "opencv2/ts/ocl_perf.hpp"
#ifdef HAVE_OPENCL
#if defined(HAVE_XINE) || \
defined(HAVE_GSTREAMER) || \
defined(HAVE_QUICKTIME) || \
defined(HAVE_AVFOUNDATION) || \
defined(HAVE_FFMPEG) || \
defined(WIN32)
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 1
#else
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 0
#endif
#if BUILD_WITH_VIDEO_INPUT_SUPPORT
#ifdef HAVE_VIDEO_INPUT
namespace cvtest {
namespace ocl {
......@@ -116,5 +103,5 @@ OCL_PERF_TEST_P(MOG2_GetBackgroundImage, Mog2, Combine(Values("gpu/video/768x576
}}// namespace cvtest::ocl
#endif
#endif
\ No newline at end of file
#endif
#endif
......@@ -2,20 +2,7 @@
#include "opencv2/ts/ocl_test.hpp"
#ifdef HAVE_OPENCL
#if defined(HAVE_XINE) || \
defined(HAVE_GSTREAMER) || \
defined(HAVE_QUICKTIME) || \
defined(HAVE_AVFOUNDATION) || \
defined(HAVE_FFMPEG) || \
defined(WIN32)
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 1
#else
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 0
#endif
#if BUILD_WITH_VIDEO_INPUT_SUPPORT
#ifdef HAVE_VIDEO_INPUT
namespace cvtest {
namespace ocl {
......@@ -154,5 +141,5 @@ OCL_INSTANTIATE_TEST_CASE_P(OCL_Video, Mog2_getBackgroundImage, Combine(
}}// namespace cvtest::ocl
#endif
#endif
#endif
#include "perf_precomp.hpp"
#if BUILD_WITH_VIDEO_INPUT_SUPPORT
#ifdef HAVE_VIDEO_INPUT
using namespace std;
using namespace cv;
......@@ -11,21 +11,19 @@ using std::tr1::get;
typedef perf::TestBaseWithParam<std::string> VideoCapture_Reading;
#if defined(HAVE_MSMF)
// MPEG2 is not supported by Media Foundation yet
// http://social.msdn.microsoft.com/Forums/en-US/mediafoundationdevelopment/thread/39a36231-8c01-40af-9af5-3c105d684429
PERF_TEST_P(VideoCapture_Reading, ReadFile, testing::Values( "highgui/video/big_buck_bunny.avi",
"highgui/video/big_buck_bunny.mov",
"highgui/video/big_buck_bunny.mp4",
"highgui/video/big_buck_bunny.wmv" ) )
#else
PERF_TEST_P(VideoCapture_Reading, ReadFile, testing::Values( "highgui/video/big_buck_bunny.avi",
"highgui/video/big_buck_bunny.mov",
"highgui/video/big_buck_bunny.mp4",
"highgui/video/big_buck_bunny.mpg",
"highgui/video/big_buck_bunny.wmv" ) )
const string bunny_files[] = {
"highgui/video/big_buck_bunny.avi",
"highgui/video/big_buck_bunny.mov",
"highgui/video/big_buck_bunny.mp4",
#ifndef HAVE_MSMF
// MPEG2 is not supported by Media Foundation yet
// http://social.msdn.microsoft.com/Forums/en-US/mediafoundationdevelopment/thread/39a36231-8c01-40af-9af5-3c105d684429
"highgui/video/big_buck_bunny.mpg",
#endif
"highgui/video/big_buck_bunny.wmv"
};
PERF_TEST_P(VideoCapture_Reading, ReadFile, testing::ValuesIn(bunny_files) )
{
string filename = getDataPath(GetParam());
......@@ -33,8 +31,7 @@ PERF_TEST_P(VideoCapture_Reading, ReadFile, testing::Values( "highgui/video/big_
TEST_CYCLE() cap.open(filename);
bool dummy = cap.isOpened();
SANITY_CHECK(dummy);
SANITY_CHECK_NOTHING();
}
#endif // BUILD_WITH_VIDEO_INPUT_SUPPORT
#endif // HAVE_VIDEO_INPUT
#include "perf_precomp.hpp"
#if BUILD_WITH_VIDEO_OUTPUT_SUPPORT
#ifdef HAVE_VIDEO_OUTPUT
using namespace std;
using namespace cv;
......@@ -11,30 +11,35 @@ using std::tr1::get;
typedef std::tr1::tuple<std::string, bool> VideoWriter_Writing_t;
typedef perf::TestBaseWithParam<VideoWriter_Writing_t> VideoWriter_Writing;
const string image_files[] = {
"python/images/QCIF_00.bmp",
"python/images/QCIF_01.bmp",
"python/images/QCIF_02.bmp",
"python/images/QCIF_03.bmp",
"python/images/QCIF_04.bmp",
"python/images/QCIF_05.bmp"
};
PERF_TEST_P(VideoWriter_Writing, WriteFrame,
testing::Combine( testing::Values( "python/images/QCIF_00.bmp",
"python/images/QCIF_01.bmp",
"python/images/QCIF_02.bmp",
"python/images/QCIF_03.bmp",
"python/images/QCIF_04.bmp",
"python/images/QCIF_05.bmp" ),
testing::Bool()))
testing::Combine(
testing::ValuesIn(image_files),
testing::Bool()))
{
string filename = getDataPath(get<0>(GetParam()));
bool isColor = get<1>(GetParam());
const string filename = getDataPath(get<0>(GetParam()));
const bool isColor = get<1>(GetParam());
Mat image = imread(filename, 1);
#if defined(HAVE_MSMF) && !defined(HAVE_VFW) && !defined(HAVE_FFMPEG) // VFW has greater priority
VideoWriter writer(cv::tempfile(".wmv"), VideoWriter::fourcc('W', 'M', 'V', '3'),
25, cv::Size(image.cols, image.rows), isColor);
const string outfile = cv::tempfile(".wmv");
const int fourcc = VideoWriter::fourcc('W', 'M', 'V', '3');
#else
VideoWriter writer(cv::tempfile(".avi"), VideoWriter::fourcc('X', 'V', 'I', 'D'),
25, cv::Size(image.cols, image.rows), isColor);
const string outfile = cv::tempfile(".avi");
const int fourcc = VideoWriter::fourcc('X', 'V', 'I', 'D');
#endif
TEST_CYCLE() { image = imread(filename, 1); writer << image; }
bool dummy = writer.isOpened();
SANITY_CHECK(dummy);
VideoWriter writer(outfile, fourcc, 25, cv::Size(image.cols, image.rows), isColor);
TEST_CYCLE_N(100) { writer << image; }
SANITY_CHECK_NOTHING();
remove(outfile.c_str());
}
#endif // BUILD_WITH_VIDEO_OUTPUT_SUPPORT
#endif // HAVE_VIDEO_OUTPUT
......@@ -17,33 +17,4 @@
#error no modules except ts should have GTEST_CREATE_SHARED_LIBRARY defined
#endif
#if defined(HAVE_XINE) || \
defined(HAVE_GSTREAMER) || \
defined(HAVE_QUICKTIME) || \
defined(HAVE_QTKIT) || \
defined(HAVE_AVFOUNDATION) || \
defined(HAVE_FFMPEG) || \
defined(HAVE_MSMF) || \
defined(HAVE_VFW)
/*defined(HAVE_OPENNI) too specialized */ \
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 1
#else
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 0
#endif
#if /*defined(HAVE_XINE) || */\
defined(HAVE_GSTREAMER) || \
defined(HAVE_QUICKTIME) || \
defined(HAVE_QTKIT) || \
defined(HAVE_AVFOUNDATION) || \
defined(HAVE_FFMPEG) || \
defined(HAVE_MSMF) || \
defined(HAVE_VFW)
# define BUILD_WITH_VIDEO_OUTPUT_SUPPORT 1
#else
# define BUILD_WITH_VIDEO_OUTPUT_SUPPORT 0
#endif
#endif
......@@ -181,11 +181,6 @@ CV_IMPL CvCapture * cvCreateCameraCapture (int index)
case CV_CAP_MSMF:
TRY_OPEN(capture, cvCreateCameraCapture_MSMF(index))
if (pref) break;
#endif
#ifdef HAVE_TYZX
case CV_CAP_STEREO:
TRY_OPEN(capture, cvCreateCameraCapture_TYZX(index))
if (pref) break;
#endif
case CV_CAP_VFW:
#ifdef HAVE_VFW
......
......@@ -108,7 +108,6 @@ CvCapture * cvCreateCameraCapture_DC1394_2( int index );
CvCapture* cvCreateCameraCapture_MIL( int index );
CvCapture* cvCreateCameraCapture_Giganetix( int index );
CvCapture * cvCreateCameraCapture_CMU( int index );
CV_IMPL CvCapture * cvCreateCameraCapture_TYZX( int index );
CvCapture* cvCreateFileCapture_Win32( const char* filename );
CvCapture* cvCreateCameraCapture_VFW( int index );
CvCapture* cvCreateFileCapture_VFW( const char* filename );
......
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "test_precomp.hpp"
#include "opencv2/videoio.hpp"
#include "opencv2/ts.hpp"
#include <stdio.h>
#if BUILD_WITH_VIDEO_INPUT_SUPPORT
using namespace cv;
using namespace std;
using namespace cvtest;
#ifdef HAVE_GSTREAMER
const string ext[] = {"avi"};
#else
const string ext[] = {"avi", "mov", "mp4"};
#endif
TEST(Videoio_Video, prop_resolution)
{
const size_t n = sizeof(ext)/sizeof(ext[0]);
const string src_dir = TS::ptr()->get_data_path();
TS::ptr()->printf(cvtest::TS::LOG, "\n\nSource files directory: %s\n", (src_dir+"video/").c_str());
for (size_t i = 0; i < n; ++i)
{
string file_path = src_dir+"video/big_buck_bunny."+ext[i];
VideoCapture cap(file_path);
if (!cap.isOpened())
{
TS::ptr()->printf(cvtest::TS::LOG, "\nFile information (video %d): \n\nName: big_buck_bunny.%s\nFAILED\n\n", i+1, ext[i].c_str());
TS::ptr()->printf(cvtest::TS::LOG, "Error: cannot read source video file.\n");
TS::ptr()->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
return;
}
ASSERT_EQ(672, cap.get(CAP_PROP_FRAME_WIDTH));
ASSERT_EQ(384, cap.get(CAP_PROP_FRAME_HEIGHT));
}
}
TEST(Videoio_Video, actual_resolution)
{
const size_t n = sizeof(ext)/sizeof(ext[0]);
const string src_dir = TS::ptr()->get_data_path();
TS::ptr()->printf(cvtest::TS::LOG, "\n\nSource files directory: %s\n", (src_dir+"video/").c_str());
for (size_t i = 0; i < n; ++i)
{
string file_path = src_dir+"video/big_buck_bunny."+ext[i];
VideoCapture cap(file_path);
if (!cap.isOpened())
{
TS::ptr()->printf(cvtest::TS::LOG, "\nFile information (video %d): \n\nName: big_buck_bunny.%s\nFAILED\n\n", i+1, ext[i].c_str());
TS::ptr()->printf(cvtest::TS::LOG, "Error: cannot read source video file.\n");
TS::ptr()->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
return;
}
Mat frame;
cap >> frame;
ASSERT_EQ(672, frame.cols);
ASSERT_EQ(384, frame.rows);
}
}
TEST(Videoio_Video, DISABLED_prop_fps)
{
const size_t n = sizeof(ext)/sizeof(ext[0]);
const string src_dir = TS::ptr()->get_data_path();
TS::ptr()->printf(cvtest::TS::LOG, "\n\nSource files directory: %s\n", (src_dir+"video/").c_str());
for (size_t i = 0; i < n; ++i)
{
string file_path = src_dir+"video/big_buck_bunny."+ext[i];
VideoCapture cap(file_path);
if (!cap.isOpened())
{
TS::ptr()->printf(cvtest::TS::LOG, "\nFile information (video %d): \n\nName: big_buck_bunny.%s\nFAILED\n\n", i+1, ext[i].c_str());
TS::ptr()->printf(cvtest::TS::LOG, "Error: cannot read source video file.\n");
TS::ptr()->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
return;
}
ASSERT_EQ(24, cap.get(CAP_PROP_FPS));
}
}
TEST(Videoio_Video, prop_framecount)
{
const size_t n = sizeof(ext)/sizeof(ext[0]);
const string src_dir = TS::ptr()->get_data_path();
TS::ptr()->printf(cvtest::TS::LOG, "\n\nSource files directory: %s\n", (src_dir+"video/").c_str());
for (size_t i = 0; i < n; ++i)
{
string file_path = src_dir+"video/big_buck_bunny."+ext[i];
VideoCapture cap(file_path);
if (!cap.isOpened())
{
TS::ptr()->printf(cvtest::TS::LOG, "\nFile information (video %d): \n\nName: big_buck_bunny.%s\nFAILED\n\n", i+1, ext[i].c_str());
TS::ptr()->printf(cvtest::TS::LOG, "Error: cannot read source video file.\n");
TS::ptr()->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
return;
}
ASSERT_EQ(125, cap.get(CAP_PROP_FRAME_COUNT));
}
}
#endif
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "test_precomp.hpp"
#include "opencv2/videoio/videoio_c.h"
#include <stdio.h>
using namespace cv;
using namespace std;
class CV_FramecountTest: public cvtest::BaseTest
{
public:
void run(int);
};
void CV_FramecountTest::run(int)
{
const int time_sec = 5, fps = 25;
const string ext[] = {"avi", "mov", "mp4"};
const size_t n = sizeof(ext)/sizeof(ext[0]);
const string src_dir = ts->get_data_path();
ts->printf(cvtest::TS::LOG, "\n\nSource files directory: %s\n", (src_dir+"video/").c_str());
Ptr<CvCapture> cap;
for (size_t i = 0; i < n; ++i)
{
string file_path = src_dir+"video/big_buck_bunny."+ext[i];
cap.reset(cvCreateFileCapture(file_path.c_str()));
if (!cap)
{
ts->printf(cvtest::TS::LOG, "\nFile information (video %d): \n\nName: big_buck_bunny.%s\nFAILED\n\n", i+1, ext[i].c_str());
ts->printf(cvtest::TS::LOG, "Error: cannot read source video file.\n");
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
return;
}
//cvSetCaptureProperty(cap, CV_CAP_PROP_POS_FRAMES, 0);
IplImage* frame; int FrameCount = 0;
for(;;)
{
frame = cvQueryFrame(cap);
if( !frame )
break;
FrameCount++;
}
int framecount = (int)cvGetCaptureProperty(cap, CAP_PROP_FRAME_COUNT);
ts->printf(cvtest::TS::LOG, "\nFile information (video %d): \n"\
"\nName: big_buck_bunny.%s\nActual frame count: %d\n"\
"Frame count computed in the cycle of queries of frames: %d\n"\
"Frame count returned by cvGetCaptureProperty function: %d\n",
i+1, ext[i].c_str(), time_sec*fps, FrameCount, framecount);
if( (FrameCount != cvRound(time_sec*fps) ||
FrameCount != framecount) && ext[i] != "mpg" )
{
ts->printf(cvtest::TS::LOG, "FAILED\n");
ts->printf(cvtest::TS::LOG, "\nError: actual frame count and returned frame count are not matched.\n");
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
return;
}
}
}
#if BUILD_WITH_VIDEO_INPUT_SUPPORT && defined HAVE_FFMPEG
TEST(Videoio_Video, framecount) {CV_FramecountTest test; test.safe_run();}
#endif
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "test_precomp.hpp"
#include "opencv2/videoio/videoio_c.h"
#include <stdio.h>
using namespace cv;
using namespace std;
class CV_VideoPositioningTest: public cvtest::BaseTest
{
public:
enum {PROGRESSIVE, RANDOM};
CV_VideoPositioningTest();
~CV_VideoPositioningTest();
virtual void run(int) = 0;
protected:
vector <int> idx;
void run_test(int method);
private:
void generate_idx_seq(CvCapture *cap, int method);
};
class CV_VideoProgressivePositioningTest: public CV_VideoPositioningTest
{
public:
CV_VideoProgressivePositioningTest() : CV_VideoPositioningTest() { }
~CV_VideoProgressivePositioningTest();
void run(int);
};
class CV_VideoRandomPositioningTest: public CV_VideoPositioningTest
{
public:
CV_VideoRandomPositioningTest(): CV_VideoPositioningTest() { }
~CV_VideoRandomPositioningTest();
void run(int);
};
CV_VideoPositioningTest::CV_VideoPositioningTest() {}
CV_VideoPositioningTest::~CV_VideoPositioningTest() {}
CV_VideoProgressivePositioningTest::~CV_VideoProgressivePositioningTest() {}
CV_VideoRandomPositioningTest::~CV_VideoRandomPositioningTest() {}
void CV_VideoPositioningTest::generate_idx_seq(CvCapture* cap, int method)
{
idx.clear();
int N = (int)cvGetCaptureProperty(cap, CAP_PROP_FRAME_COUNT);
switch(method)
{
case PROGRESSIVE:
{
int pos = 1, step = 20;
do
{
idx.push_back(pos);
pos += step;
}
while (pos <= N);
break;
}
case RANDOM:
{
RNG rng(N);
idx.clear();
for( int i = 0; i >= 0 && i < N-1; i++ )
idx.push_back(rng.uniform(0, N));
idx.push_back(N-1);
std::swap(idx.at(rng.uniform(0, N-1)), idx.at(N-1));
break;
}
default:break;
}
}
void CV_VideoPositioningTest::run_test(int method)
{
const string& src_dir = ts->get_data_path();
ts->printf(cvtest::TS::LOG, "\n\nSource files directory: %s\n", (src_dir+"video/").c_str());
const string ext[] = {"avi", "mov", "mp4", "mpg"};
int n = (int)(sizeof(ext)/sizeof(ext[0]));
int failed_videos = 0;
for (int i = 0; i < n; ++i)
{
// skip random positioning test in plain mpegs
if( method == RANDOM && ext[i] == "mpg" )
continue;
string file_path = src_dir + "video/big_buck_bunny." + ext[i];
ts->printf(cvtest::TS::LOG, "\nReading video file in %s...\n", file_path.c_str());
CvCapture* cap = cvCreateFileCapture(file_path.c_str());
if (!cap)
{
ts->printf(cvtest::TS::LOG, "\nFile information (video %d): \n\nName: big_buck_bunny.%s\nFAILED\n\n", i+1, ext[i].c_str());
ts->printf(cvtest::TS::LOG, "Error: cannot read source video file.\n");
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
failed_videos++; continue;
}
cvSetCaptureProperty(cap, CAP_PROP_POS_FRAMES, 0);
generate_idx_seq(cap, method);
int N = (int)idx.size(), failed_frames = 0, failed_positions = 0, failed_iterations = 0;
for (int j = 0; j < N; ++j)
{
bool flag = false;
cvSetCaptureProperty(cap, CAP_PROP_POS_FRAMES, idx.at(j));
/* IplImage* frame = cvRetrieveFrame(cap);
if (!frame)
{
if (!failed_frames)
{
ts->printf(cvtest::TS::LOG, "\nFile information (video %d): \n\nName: big_buck_bunny.%s\n", i+1, ext[i].c_str());
}
failed_frames++;
ts->printf(cvtest::TS::LOG, "\nIteration: %d\n\nError: cannot read a frame with index %d.\n", j, idx.at(j));
ts->set_failed_test_info(cvtest::TS::FAIL_EXCEPTION);
flag = !flag;
} */
int val = (int)cvGetCaptureProperty(cap, CAP_PROP_POS_FRAMES);
if (idx.at(j) != val)
{
if (!(failed_frames||failed_positions))
{
ts->printf(cvtest::TS::LOG, "\nFile information (video %d): \n\nName: big_buck_bunny.%s\n", i+1, ext[i].c_str());
}
failed_positions++;
if (!failed_frames)
{
ts->printf(cvtest::TS::LOG, "\nIteration: %d\n", j);
}
ts->printf(cvtest::TS::LOG, "Required pos: %d\nReturned pos: %d\n", idx.at(j), val);
ts->printf(cvtest::TS::LOG, "Error: required and returned positions are not matched.\n");
ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
flag = true;
}
if (flag)
{
failed_iterations++;
failed_videos++;
break;
}
}
cvReleaseCapture(&cap);
}
ts->printf(cvtest::TS::LOG, "\nSuccessfull experiments: %d (%d%%)\n", n-failed_videos, 100*(n-failed_videos)/n);
ts->printf(cvtest::TS::LOG, "Failed experiments: %d (%d%%)\n", failed_videos, 100*failed_videos/n);
}
void CV_VideoProgressivePositioningTest::run(int)
{
run_test(PROGRESSIVE);
}
void CV_VideoRandomPositioningTest::run(int)
{
run_test(RANDOM);
}
#if BUILD_WITH_VIDEO_INPUT_SUPPORT && defined HAVE_FFMPEG
TEST (Videoio_Video, seek_progressive) { CV_VideoProgressivePositioningTest test; test.safe_run(); }
TEST (Videoio_Video, seek_random) { CV_VideoRandomPositioningTest test; test.safe_run(); }
#endif
......@@ -18,74 +18,29 @@
#include "opencv2/core/private.hpp"
#if defined(HAVE_DSHOW) || \
defined(HAVE_TYZX) || \
defined(HAVE_VFW) || \
defined(HAVE_LIBV4L) || \
(defined(HAVE_CAMV4L) && defined(HAVE_CAMV4L2)) || \
defined(HAVE_GSTREAMER) || \
defined(HAVE_DC1394_2) || \
defined(HAVE_DC1394) || \
defined(HAVE_CMU1394) || \
defined(HAVE_MIL) || \
defined(HAVE_QUICKTIME) || \
defined(HAVE_QTKIT) || \
defined(HAVE_UNICAP) || \
defined(HAVE_PVAPI) || \
defined(HAVE_OPENNI) || \
defined(HAVE_XIMEA) || \
defined(HAVE_AVFOUNDATION) || \
defined(HAVE_GIGE_API) || \
defined(HAVE_INTELPERC) || \
defined(HAVE_GPHOTO2) || \
(0)
# define BUILD_WITH_CAMERA_SUPPORT 1
#else
# define BUILD_WITH_CAMERA_SUPPORT 0
#endif
#if defined(HAVE_XINE) || \
defined(HAVE_GSTREAMER) || \
defined(HAVE_QUICKTIME) || \
defined(HAVE_QTKIT) || \
defined(HAVE_AVFOUNDATION) || \
/*defined(HAVE_OPENNI) || too specialized */ \
defined(HAVE_FFMPEG) || \
defined(HAVE_MSMF)
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 1
#else
# define BUILD_WITH_VIDEO_INPUT_SUPPORT 0
#endif
#if /*defined(HAVE_XINE) || */\
defined(HAVE_GSTREAMER) || \
defined(HAVE_QUICKTIME) || \
defined(HAVE_QTKIT) || \
defined(HAVE_AVFOUNDATION) || \
defined(HAVE_FFMPEG) || \
defined(HAVE_MSMF)
# define BUILD_WITH_VIDEO_OUTPUT_SUPPORT 1
#else
# define BUILD_WITH_VIDEO_OUTPUT_SUPPORT 0
#endif
namespace cvtest
inline std::string fourccToString(int fourcc)
{
return cv::format("%c%c%c%c", fourcc & 255, (fourcc >> 8) & 255, (fourcc >> 16) & 255, (fourcc >> 24) & 255);
}
string fourccToString(int fourcc);
struct VideoFormat
inline int fourccFromString(const std::string &fourcc)
{
VideoFormat() { fourcc = -1; }
VideoFormat(const string& _ext, int _fourcc) : ext(_ext), fourcc(_fourcc) {}
bool empty() const { return ext.empty(); }
string ext;
int fourcc;
};
extern const VideoFormat g_specific_fmt_list[];
if (fourcc.size() != 4) return 0;
return cv::VideoWriter::fourcc(fourcc[0], fourcc[1], fourcc[2], fourcc[3]);
}
inline void generateFrame(int i, int FRAME_COUNT, cv::Mat & frame)
{
using namespace cv;
using namespace std;
frame = Scalar(30, 140, 10);
ostringstream buf; buf << "Frame " << setw(2) << setfill('0') << i + 1;
int baseLine = 0;
Size box = getTextSize(buf.str(), FONT_HERSHEY_COMPLEX, 2, 5, &baseLine);
putText(frame, buf.str(), Point((frame.cols - box.width) / 2, (frame.rows - box.height) / 2 + baseLine),
FONT_HERSHEY_COMPLEX, 2, Scalar(255, 255, 255), 5, LINE_AA);
Point p(i * frame.cols / (FRAME_COUNT - 1), i * frame.rows / (FRAME_COUNT - 1));
circle(frame, p, 20, Scalar(200, 25, 55), 5, LINE_AA);
}
#endif
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "test_precomp.hpp"
#include "opencv2/videoio.hpp"
using namespace cv;
using namespace std;
class CV_PositioningTest : public cvtest::BaseTest
{
public:
CV_PositioningTest()
{
framesize = Size(640, 480);
}
Mat drawFrame(int i)
{
Mat mat = Mat::zeros(framesize, CV_8UC3);
mat = Scalar(fabs(cos(i*0.08)*255), fabs(sin(i*0.05)*255), i);
putText(mat, format("%03d", i), Point(10, 350), 0, 10, Scalar(128, 255, 255), 15);
return mat;
}
string getFilename(const cvtest::VideoFormat& fmt)
{
return cv::tempfile((cvtest::fourccToString(fmt.fourcc) + "." + fmt.ext).c_str());
}
bool CreateTestVideo(const cvtest::VideoFormat& fmt, int framecount, string filename)
{
VideoWriter writer(filename, fmt.fourcc, 25, framesize, true);
if( !writer.isOpened() )
return false;
for (int i = 0; i < framecount; ++i)
{
Mat img = drawFrame(i);
writer << img;
}
return true;
}
void run(int)
{
int n_frames = 100;
for( int testcase = 0; ; testcase++ )
{
const cvtest::VideoFormat& fmt = cvtest::g_specific_fmt_list[testcase];
if( fmt.empty() )
break;
string filename = getFilename(fmt);
ts->printf(ts->LOG, "\nFile: %s\n", filename.c_str());
if( !CreateTestVideo(fmt, n_frames, filename) )
{
ts->printf(ts->LOG, "\nError: cannot create video file");
ts->set_failed_test_info(ts->FAIL_INVALID_OUTPUT);
return;
}
VideoCapture cap(filename);
if (!cap.isOpened())
{
ts->printf(ts->LOG, "\nError: cannot read video file.");
ts->set_failed_test_info(ts->FAIL_INVALID_TEST_DATA);
return;
}
int N0 = (int)cap.get(CAP_PROP_FRAME_COUNT);
cap.set(CAP_PROP_POS_FRAMES, 0);
int N = (int)cap.get(CAP_PROP_FRAME_COUNT);
// See the same hack in CV_VideoIOTest::SpecificVideoTest for explanation.
int allowed_extra_frames = 0;
if (fmt.fourcc == VideoWriter::fourcc('M', 'P', 'E', 'G') && fmt.ext == "mkv")
allowed_extra_frames = 1;
if (N < n_frames || N > n_frames + allowed_extra_frames || N != N0)
{
ts->printf(ts->LOG, "\nError: returned frame count (N0=%d, N=%d) is different from the reference number %d\n", N0, N, n_frames);
ts->set_failed_test_info(ts->FAIL_INVALID_OUTPUT);
return;
}
for (int k = 0; k < n_frames; ++k)
{
int idx = theRNG().uniform(0, n_frames);
if( !cap.set(CAP_PROP_POS_FRAMES, idx) )
{
ts->printf(ts->LOG, "\nError: cannot seek to frame %d.\n", idx);
ts->set_failed_test_info(ts->FAIL_INVALID_OUTPUT);
return;
}
int idx1 = (int)cap.get(CAP_PROP_POS_FRAMES);
Mat img; cap >> img;
Mat img0 = drawFrame(idx);
if( idx != idx1 )
{
ts->printf(ts->LOG, "\nError: the current position (%d) after seek is different from specified (%d)\n",
idx1, idx);
ts->printf(ts->LOG, "Saving both frames ...\n");
ts->set_failed_test_info(ts->FAIL_INVALID_OUTPUT);
return;
}
if (img.empty())
{
ts->printf(ts->LOG, "\nError: cannot read a frame at position %d.\n", idx);
ts->set_failed_test_info(ts->FAIL_INVALID_OUTPUT);
return;
}
double err = cvtest::PSNR(img, img0);
if( err < 20 )
{
ts->printf(ts->LOG, "The frame read after positioning to %d is incorrect (PSNR=%g)\n", idx, err);
ts->printf(ts->LOG, "Saving both frames ...\n");
ts->set_failed_test_info(ts->FAIL_INVALID_OUTPUT);
return;
}
}
}
}
Size framesize;
};
#if BUILD_WITH_VIDEO_INPUT_SUPPORT && BUILD_WITH_VIDEO_OUTPUT_SUPPORT && defined HAVE_FFMPEG
TEST(Videoio_Video, seek_random_synthetic) { CV_PositioningTest test; test.safe_run(); }
#endif
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