opencv/modules/ocl/perf/perf_haar.cpp

106 lines
3.9 KiB
C++

/*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.
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// 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
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//M*/
#include "precomp.hpp"
///////////// Haar ////////////////////////
PERFTEST(Haar)
{
Mat img = imread(abspath("basketball1.png"), IMREAD_GRAYSCALE);
if (img.empty())
{
throw runtime_error("can't open basketball1.png");
}
CascadeClassifier faceCascadeCPU;
if (!faceCascadeCPU.load(abspath("haarcascade_frontalface_alt.xml")))
{
throw runtime_error("can't load haarcascade_frontalface_alt.xml");
}
vector<Rect> faces;
SUBTEST << img.cols << "x" << img.rows << "; scale image";
CPU_ON;
faceCascadeCPU.detectMultiScale(img, faces,
1.1, 2, 0 | CASCADE_SCALE_IMAGE, Size(30, 30));
CPU_OFF;
vector<Rect> oclfaces;
ocl::OclCascadeClassifier faceCascade;
if (!faceCascade.load(abspath("haarcascade_frontalface_alt.xml")))
{
throw runtime_error("can't load haarcascade_frontalface_alt.xml");
}
ocl::oclMat d_img(img);
WARMUP_ON;
faceCascade.detectMultiScale(d_img, oclfaces,
1.1, 2, 0 | CASCADE_SCALE_IMAGE, Size(30, 30));
WARMUP_OFF;
if(faces.size() == oclfaces.size())
TestSystem::instance().setAccurate(1, 0);
else
TestSystem::instance().setAccurate(0, abs((int)faces.size() - (int)oclfaces.size()));
faces.clear();
GPU_ON;
faceCascade.detectMultiScale(d_img, oclfaces,
1.1, 2, 0 | CASCADE_SCALE_IMAGE, Size(30, 30));
GPU_OFF;
GPU_FULL_ON;
d_img.upload(img);
faceCascade.detectMultiScale(d_img, oclfaces,
1.1, 2, 0 | CASCADE_SCALE_IMAGE, Size(30, 30));
GPU_FULL_OFF;
}