test_bgfg.cpp 10.8 KB
Newer Older
wester committed
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407
/*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"

#ifdef HAVE_CUDA

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

//////////////////////////////////////////////////////
// FGDStatModel

#if BUILD_WITH_VIDEO_INPUT_SUPPORT

namespace cv
{
    template<> void Ptr<CvBGStatModel>::delete_obj()
    {
        cvReleaseBGStatModel(&obj);
    }
}

PARAM_TEST_CASE(FGDStatModel, cv::gpu::DeviceInfo, std::string, Channels)
{
    cv::gpu::DeviceInfo devInfo;
    std::string inputFile;
    int out_cn;

    virtual void SetUp()
    {
        devInfo = GET_PARAM(0);
        cv::gpu::setDevice(devInfo.deviceID());

        inputFile = std::string(cvtest::TS::ptr()->get_data_path()) + "video/" + GET_PARAM(1);

        out_cn = GET_PARAM(2);
    }
};

GPU_TEST_P(FGDStatModel, Update)
{
    cv::VideoCapture cap(inputFile);
    ASSERT_TRUE(cap.isOpened());

    cv::Mat frame;
    cap >> frame;
    ASSERT_FALSE(frame.empty());

    cv::Mat frameSmall;
    cv::resize(frame, frameSmall, cv::Size(), 0.5, 0.5);

    IplImage ipl_frame = frameSmall;
    cv::Ptr<CvBGStatModel> model(cvCreateFGDStatModel(&ipl_frame));

    cv::gpu::GpuMat d_frame(frameSmall);
    cv::gpu::FGDStatModel d_model(out_cn);
    d_model.create(d_frame);

    cv::Mat h_background;
    cv::Mat h_foreground;
    cv::Mat h_background3;

    for (int i = 0; i < 5; ++i)
    {
        cap >> frame;
        ASSERT_FALSE(frame.empty());

        cv::resize(frame, frameSmall, cv::Size(), 0.5, 0.5);

        ipl_frame = frameSmall;
        int gold_count = cvUpdateBGStatModel(&ipl_frame, model);

        d_frame.upload(frameSmall);

        int count = d_model.update(d_frame);

        ASSERT_EQ(gold_count, count);

        cv::Mat gold_background(model->background);
        cv::Mat gold_foreground(model->foreground);

        if (out_cn == 3)
            d_model.background.download(h_background3);
        else
        {
            d_model.background.download(h_background);
            cv::cvtColor(h_background, h_background3, cv::COLOR_BGRA2BGR);
        }
        d_model.foreground.download(h_foreground);

        ASSERT_MAT_NEAR(gold_background, h_background3, 1.0);
        ASSERT_MAT_NEAR(gold_foreground, h_foreground, 0.0);
    }
}

INSTANTIATE_TEST_CASE_P(GPU_Video, FGDStatModel, testing::Combine(
    ALL_DEVICES,
    testing::Values(std::string("768x576.avi")),
    testing::Values(Channels(3), Channels(4))));

#endif

//////////////////////////////////////////////////////
// MOG

#if BUILD_WITH_VIDEO_INPUT_SUPPORT

namespace
{
    IMPLEMENT_PARAM_CLASS(UseGray, bool)
    IMPLEMENT_PARAM_CLASS(LearningRate, double)
}

PARAM_TEST_CASE(MOG, cv::gpu::DeviceInfo, std::string, UseGray, LearningRate, UseRoi)
{
    cv::gpu::DeviceInfo devInfo;
    std::string inputFile;
    bool useGray;
    double learningRate;
    bool useRoi;

    virtual void SetUp()
    {
        devInfo = GET_PARAM(0);
        cv::gpu::setDevice(devInfo.deviceID());

        inputFile = std::string(cvtest::TS::ptr()->get_data_path()) + "video/" + GET_PARAM(1);

        useGray = GET_PARAM(2);

        learningRate = GET_PARAM(3);

        useRoi = GET_PARAM(4);
    }
};

GPU_TEST_P(MOG, Update)
{
    cv::VideoCapture cap(inputFile);
    ASSERT_TRUE(cap.isOpened());

    cv::Mat frame;
    cap >> frame;
    ASSERT_FALSE(frame.empty());

    cv::gpu::MOG_GPU mog;
    cv::gpu::GpuMat foreground = createMat(frame.size(), CV_8UC1, useRoi);

    cv::BackgroundSubtractorMOG mog_gold;
    cv::Mat foreground_gold;

    for (int i = 0; i < 10; ++i)
    {
        cap >> frame;
        ASSERT_FALSE(frame.empty());

        if (useGray)
        {
            cv::Mat temp;
            cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
            cv::swap(temp, frame);
        }

        mog(loadMat(frame, useRoi), foreground, (float)learningRate);

        mog_gold(frame, foreground_gold, learningRate);

        ASSERT_MAT_NEAR(foreground_gold, foreground, 0.0);
    }
}

INSTANTIATE_TEST_CASE_P(GPU_Video, MOG, testing::Combine(
    ALL_DEVICES,
    testing::Values(std::string("768x576.avi")),
    testing::Values(UseGray(true), UseGray(false)),
    testing::Values(LearningRate(0.0), LearningRate(0.01)),
    WHOLE_SUBMAT));

#endif

//////////////////////////////////////////////////////
// MOG2

#if BUILD_WITH_VIDEO_INPUT_SUPPORT

namespace
{
    IMPLEMENT_PARAM_CLASS(DetectShadow, bool)
}

PARAM_TEST_CASE(MOG2, cv::gpu::DeviceInfo, std::string, UseGray, DetectShadow, UseRoi)
{
    cv::gpu::DeviceInfo devInfo;
    std::string inputFile;
    bool useGray;
    bool detectShadow;
    bool useRoi;

    virtual void SetUp()
    {
        devInfo = GET_PARAM(0);
        cv::gpu::setDevice(devInfo.deviceID());

        inputFile = std::string(cvtest::TS::ptr()->get_data_path()) + "video/" + GET_PARAM(1);
        useGray = GET_PARAM(2);
        detectShadow = GET_PARAM(3);
        useRoi = GET_PARAM(4);
    }
};

GPU_TEST_P(MOG2, Update)
{
    cv::VideoCapture cap(inputFile);
    ASSERT_TRUE(cap.isOpened());

    cv::Mat frame;
    cap >> frame;
    ASSERT_FALSE(frame.empty());

    cv::gpu::MOG2_GPU mog2;
    mog2.bShadowDetection = detectShadow;
    cv::gpu::GpuMat foreground = createMat(frame.size(), CV_8UC1, useRoi);

    cv::BackgroundSubtractorMOG2 mog2_gold;
    mog2_gold.set("detectShadows", detectShadow);
    cv::Mat foreground_gold;

    for (int i = 0; i < 10; ++i)
    {
        cap >> frame;
        ASSERT_FALSE(frame.empty());

        if (useGray)
        {
            cv::Mat temp;
            cv::cvtColor(frame, temp, cv::COLOR_BGR2GRAY);
            cv::swap(temp, frame);
        }

        mog2(loadMat(frame, useRoi), foreground);

        mog2_gold(frame, foreground_gold);

        if (detectShadow)
        {
            ASSERT_MAT_SIMILAR(foreground_gold, foreground, 1e-2);
        }
        else
        {
            ASSERT_MAT_NEAR(foreground_gold, foreground, 0);
        }
    }
}

GPU_TEST_P(MOG2, getBackgroundImage)
{
    if (useGray)
        return;

    cv::VideoCapture cap(inputFile);
    ASSERT_TRUE(cap.isOpened());

    cv::Mat frame;

    cv::gpu::MOG2_GPU mog2;
    mog2.bShadowDetection = detectShadow;
    cv::gpu::GpuMat foreground;

    cv::BackgroundSubtractorMOG2 mog2_gold;
    mog2_gold.set("detectShadows", detectShadow);
    cv::Mat foreground_gold;

    for (int i = 0; i < 10; ++i)
    {
        cap >> frame;
        ASSERT_FALSE(frame.empty());

        mog2(loadMat(frame, useRoi), foreground);

        mog2_gold(frame, foreground_gold);
    }

    cv::gpu::GpuMat background = createMat(frame.size(), frame.type(), useRoi);
    mog2.getBackgroundImage(background);

    cv::Mat background_gold;
    mog2_gold.getBackgroundImage(background_gold);

    ASSERT_MAT_NEAR(background_gold, background, 1);
}

INSTANTIATE_TEST_CASE_P(GPU_Video, MOG2, testing::Combine(
    ALL_DEVICES,
    testing::Values(std::string("768x576.avi")),
    testing::Values(UseGray(true), UseGray(false)),
    testing::Values(DetectShadow(true), DetectShadow(false)),
    WHOLE_SUBMAT));

#endif

//////////////////////////////////////////////////////
// GMG

PARAM_TEST_CASE(GMG, cv::gpu::DeviceInfo, cv::Size, MatDepth, Channels, UseRoi)
{
};

GPU_TEST_P(GMG, Accuracy)
{
    const cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
    cv::gpu::setDevice(devInfo.deviceID());
    const cv::Size size = GET_PARAM(1);
    const int depth = GET_PARAM(2);
    const int channels = GET_PARAM(3);
    const bool useRoi = GET_PARAM(4);

    const int type = CV_MAKE_TYPE(depth, channels);

    const cv::Mat zeros(size, CV_8UC1, cv::Scalar::all(0));
    const cv::Mat fullfg(size, CV_8UC1, cv::Scalar::all(255));

    cv::Mat frame = randomMat(size, type, 0, 100);
    cv::gpu::GpuMat d_frame = loadMat(frame, useRoi);

    cv::gpu::GMG_GPU gmg;
    gmg.numInitializationFrames = 5;
    gmg.smoothingRadius = 0;
    gmg.initialize(d_frame.size(), 0, 255);

    cv::gpu::GpuMat d_fgmask = createMat(size, CV_8UC1, useRoi);

    for (int i = 0; i < gmg.numInitializationFrames; ++i)
    {
        gmg(d_frame, d_fgmask);

        // fgmask should be entirely background during training
        ASSERT_MAT_NEAR(zeros, d_fgmask, 0);
    }

    frame = randomMat(size, type, 160, 255);
    d_frame = loadMat(frame, useRoi);
    gmg(d_frame, d_fgmask);

    // now fgmask should be entirely foreground
    ASSERT_MAT_NEAR(fullfg, d_fgmask, 0);
}

INSTANTIATE_TEST_CASE_P(GPU_Video, GMG, testing::Combine(
    ALL_DEVICES,
    DIFFERENT_SIZES,
    testing::Values(MatType(CV_8U), MatType(CV_16U), MatType(CV_32F)),
    testing::Values(Channels(1), Channels(3), Channels(4)),
    WHOLE_SUBMAT));

#endif // HAVE_CUDA