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/*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/highgui/highgui.hpp"
#include <stdio.h>
using namespace cv;
using namespace std;
enum NAVIGATION_METHOD {PROGRESSIVE, RANDOM};
class CV_VideoPositioningTest: public cvtest::BaseTest
{
public:
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, CV_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 < 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[] = {"mov", "avi", "mp4", "mpg", "wmv"};
size_t n = sizeof(ext)/sizeof(ext[0]);
int failed_videos = 0;
for (size_t i = 0; i < n; ++i)
{
string file_path = src_dir + "video/big_buck_bunny." + ext[i];
printf("\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, CV_CAP_PROP_POS_FRAMES, 0);
generate_idx_seq(cap, method);
int N = idx.size(), failed_frames = 0, failed_positions = 0, failed_iterations = 0;
for (int j = 0; j < N; ++j)
{
bool flag = false;
cvSetCaptureProperty(cap, CV_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, CV_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);
if (!flag) flag = !flag;
}
if (flag) failed_iterations++;
}
ts->printf(cvtest::TS::LOG, "\nSuccessfull iterations: %d (%d%%)\n", idx.size()-failed_iterations, 100*(idx.size()-failed_iterations)/idx.size());
ts->printf(cvtest::TS::LOG, "Failed iterations: %d (%d%%)\n", failed_iterations, 100*failed_iterations/idx.size());
if (failed_frames||failed_positions)
{
ts->printf(cvtest::TS::LOG, "\nFAILED\n----------\n"); failed_videos++;
}
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)
{
#if defined WIN32 || (defined __linux__ && !defined ANDROID)
#if !defined HAVE_GSTREAMER || defined HAVE_GSTREAMER_APP
run_test(PROGRESSIVE);
#endif
#endif
}
void CV_VideoRandomPositioningTest::run(int)
{
#if defined WIN32 || (defined __linux__ && !defined ANDROID)
#if !defined HAVE_GSTREAMER || defined HAVE_GSTREAMER_APP
run_test(RANDOM);
#endif
#endif
}
TEST (HighguiPositioning, progressive) { CV_VideoProgressivePositioningTest test; test.safe_run(); }
TEST (HighguiPositioning, random) { CV_VideoRandomPositioningTest test; test.safe_run(); }