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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 "perf_precomp.hpp"
- namespace opencv_test { namespace {
- ///////////////////////////////////////////////////////////////
- // HOG
- DEF_PARAM_TEST_1(Image, string);
- PERF_TEST_P(Image, ObjDetect_HOG,
- Values<string>("gpu/hog/road.png",
- "gpu/caltech/image_00000009_0.png",
- "gpu/caltech/image_00000032_0.png",
- "gpu/caltech/image_00000165_0.png",
- "gpu/caltech/image_00000261_0.png",
- "gpu/caltech/image_00000469_0.png",
- "gpu/caltech/image_00000527_0.png",
- "gpu/caltech/image_00000574_0.png"))
- {
- declare.time(300.0);
- const cv::Mat img = readImage(GetParam(), cv::IMREAD_GRAYSCALE);
- ASSERT_FALSE(img.empty());
- if (PERF_RUN_CUDA())
- {
- const cv::cuda::GpuMat d_img(img);
- std::vector<cv::Rect> gpu_found_locations;
- cv::Ptr<cv::cuda::HOG> d_hog = cv::cuda::HOG::create();
- d_hog->setSVMDetector(d_hog->getDefaultPeopleDetector());
- TEST_CYCLE() d_hog->detectMultiScale(d_img, gpu_found_locations);
- SANITY_CHECK(gpu_found_locations);
- }
- else
- {
- std::vector<cv::Rect> cpu_found_locations;
- cv::Ptr<cv::cuda::HOG> d_hog = cv::cuda::HOG::create();
- cv::HOGDescriptor hog;
- hog.setSVMDetector(d_hog->getDefaultPeopleDetector());
- TEST_CYCLE() hog.detectMultiScale(img, cpu_found_locations);
- SANITY_CHECK(cpu_found_locations);
- }
- }
- ///////////////////////////////////////////////////////////////
- // HaarClassifier
- typedef pair<string, string> pair_string;
- DEF_PARAM_TEST_1(ImageAndCascade, pair_string);
- PERF_TEST_P(ImageAndCascade, ObjDetect_HaarClassifier,
- Values<pair_string>(make_pair("gpu/haarcascade/group_1_640x480_VGA.pgm", "gpu/perf/haarcascade_frontalface_alt.xml")))
- {
- const cv::Mat img = readImage(GetParam().first, cv::IMREAD_GRAYSCALE);
- ASSERT_FALSE(img.empty());
- if (PERF_RUN_CUDA())
- {
- cv::Ptr<cv::cuda::CascadeClassifier> d_cascade =
- cv::cuda::CascadeClassifier::create(perf::TestBase::getDataPath(GetParam().second));
- const cv::cuda::GpuMat d_img(img);
- cv::cuda::GpuMat objects_buffer;
- TEST_CYCLE() d_cascade->detectMultiScale(d_img, objects_buffer);
- std::vector<cv::Rect> gpu_rects;
- d_cascade->convert(objects_buffer, gpu_rects);
- cv::groupRectangles(gpu_rects, 3, 0.2);
- SANITY_CHECK(gpu_rects);
- }
- else
- {
- cv::CascadeClassifier cascade;
- ASSERT_TRUE(cascade.load(perf::TestBase::getDataPath("gpu/perf/haarcascade_frontalface_alt.xml")));
- std::vector<cv::Rect> cpu_rects;
- TEST_CYCLE() cascade.detectMultiScale(img, cpu_rects);
- SANITY_CHECK(cpu_rects);
- }
- }
- ///////////////////////////////////////////////////////////////
- // LBP cascade
- PERF_TEST_P(ImageAndCascade, ObjDetect_LBPClassifier,
- Values<pair_string>(make_pair("gpu/haarcascade/group_1_640x480_VGA.pgm", "gpu/lbpcascade/lbpcascade_frontalface.xml")))
- {
- const cv::Mat img = readImage(GetParam().first, cv::IMREAD_GRAYSCALE);
- ASSERT_FALSE(img.empty());
- if (PERF_RUN_CUDA())
- {
- cv::Ptr<cv::cuda::CascadeClassifier> d_cascade =
- cv::cuda::CascadeClassifier::create(perf::TestBase::getDataPath(GetParam().second));
- const cv::cuda::GpuMat d_img(img);
- cv::cuda::GpuMat objects_buffer;
- TEST_CYCLE() d_cascade->detectMultiScale(d_img, objects_buffer);
- std::vector<cv::Rect> gpu_rects;
- d_cascade->convert(objects_buffer, gpu_rects);
- cv::groupRectangles(gpu_rects, 3, 0.2);
- SANITY_CHECK(gpu_rects);
- }
- else
- {
- cv::CascadeClassifier cascade;
- ASSERT_TRUE(cascade.load(perf::TestBase::getDataPath("gpu/lbpcascade/lbpcascade_frontalface.xml")));
- std::vector<cv::Rect> cpu_rects;
- TEST_CYCLE() cascade.detectMultiScale(img, cpu_rects);
- SANITY_CHECK(cpu_rects);
- }
- }
- }} // namespace
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