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.
123 lines
4.4 KiB
123 lines
4.4 KiB
/*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) 2010-2012, Multicoreware, Inc., all rights reserved. |
|
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved. |
|
// Third party copyrights are property of their respective owners. |
|
// |
|
// @Authors |
|
// Fangfang Bai, fangfang@multicorewareinc.com |
|
// Jin Ma, jin@multicorewareinc.com |
|
// |
|
// 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 oclMaterials 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" |
|
|
|
using namespace perf; |
|
|
|
///////////// Haar //////////////////////// |
|
namespace cv |
|
{ |
|
namespace ocl |
|
{ |
|
|
|
struct getRect |
|
{ |
|
Rect operator()(const CvAvgComp &e) const |
|
{ |
|
return e.rect; |
|
} |
|
}; |
|
|
|
class CascadeClassifier_GPU : public OclCascadeClassifier |
|
{ |
|
public: |
|
void detectMultiScale(oclMat &image, |
|
CV_OUT std::vector<cv::Rect>& faces, |
|
double scaleFactor = 1.1, |
|
int minNeighbors = 3, int flags = 0, |
|
Size minSize = Size(), |
|
Size maxSize = Size()) |
|
{ |
|
(void)maxSize; |
|
MemStorage storage(cvCreateMemStorage(0)); |
|
//CvMat img=image; |
|
CvSeq *objs = oclHaarDetectObjects(image, storage, scaleFactor, minNeighbors, flags, minSize); |
|
vector<CvAvgComp> vecAvgComp; |
|
Seq<CvAvgComp>(objs).copyTo(vecAvgComp); |
|
faces.resize(vecAvgComp.size()); |
|
std::transform(vecAvgComp.begin(), vecAvgComp.end(), faces.begin(), getRect()); |
|
} |
|
|
|
}; |
|
|
|
} |
|
} |
|
|
|
PERF_TEST(HaarFixture, Haar) |
|
{ |
|
vector<Rect> faces; |
|
|
|
Mat img = imread(getDataPath("gpu/haarcascade/basketball1.png"), CV_LOAD_IMAGE_GRAYSCALE); |
|
ASSERT_TRUE(!img.empty()) << "can't open basketball1.png"; |
|
declare.in(img); |
|
|
|
if (RUN_PLAIN_IMPL) |
|
{ |
|
CascadeClassifier faceCascade; |
|
ASSERT_TRUE(faceCascade.load(getDataPath("gpu/haarcascade/haarcascade_frontalface_alt.xml"))) |
|
<< "can't load haarcascade_frontalface_alt.xml"; |
|
|
|
TEST_CYCLE() faceCascade.detectMultiScale(img, faces, |
|
1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30)); |
|
|
|
SANITY_CHECK(faces, 4 + 1e-4); |
|
} |
|
else if (RUN_OCL_IMPL) |
|
{ |
|
ocl::CascadeClassifier_GPU faceCascade; |
|
ocl::oclMat oclImg(img); |
|
|
|
ASSERT_TRUE(faceCascade.load(getDataPath("gpu/haarcascade/haarcascade_frontalface_alt.xml"))) |
|
<< "can't load haarcascade_frontalface_alt.xml"; |
|
|
|
OCL_TEST_CYCLE() faceCascade.detectMultiScale(oclImg, faces, |
|
1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30)); |
|
|
|
SANITY_CHECK(faces, 4 + 1e-4); |
|
} |
|
else |
|
OCL_PERF_ELSE |
|
}
|
|
|