200 lines
7.2 KiB
C++
200 lines
7.2 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#if !defined CUDA_DISABLER
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#include "TestDrawRects.h"
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#include "NCVHaarObjectDetection.hpp"
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template <class T>
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TestDrawRects<T>::TestDrawRects(std::string testName_, NCVTestSourceProvider<T> &src_,
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NCVTestSourceProvider<Ncv32u> &src32u_,
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Ncv32u width_, Ncv32u height_, Ncv32u numRects_, T color_)
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:
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NCVTestProvider(testName_),
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src(src_),
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src32u(src32u_),
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width(width_),
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height(height_),
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numRects(numRects_),
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color(color_)
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{
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}
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template <class T>
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bool TestDrawRects<T>::toString(std::ofstream &strOut)
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{
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strOut << "sizeof(T)=" << sizeof(T) << std::endl;
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strOut << "width=" << width << std::endl;
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strOut << "height=" << height << std::endl;
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strOut << "numRects=" << numRects << std::endl;
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strOut << "color=" << color << std::endl;
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return true;
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}
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template <class T>
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bool TestDrawRects<T>::init()
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{
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return true;
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}
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template <class T>
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bool TestDrawRects<T>::process()
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{
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NCVStatus ncvStat;
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bool rcode = false;
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NCVMatrixAlloc<T> d_img(*this->allocatorGPU.get(), this->width, this->height);
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ncvAssertReturn(d_img.isMemAllocated(), false);
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NCVMatrixAlloc<T> h_img(*this->allocatorCPU.get(), this->width, this->height);
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ncvAssertReturn(h_img.isMemAllocated(), false);
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NCVMatrixAlloc<T> h_img_d(*this->allocatorCPU.get(), this->width, this->height);
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ncvAssertReturn(h_img_d.isMemAllocated(), false);
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NCVVectorAlloc<NcvRect32u> d_rects(*this->allocatorGPU.get(), this->numRects);
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ncvAssertReturn(d_rects.isMemAllocated(), false);
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NCVVectorAlloc<NcvRect32u> h_rects(*this->allocatorCPU.get(), this->numRects);
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ncvAssertReturn(h_rects.isMemAllocated(), false);
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NCV_SET_SKIP_COND(this->allocatorGPU.get()->isCounting());
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NCV_SKIP_COND_BEGIN
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ncvAssertReturn(this->src.fill(h_img), false);
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ncvStat = h_img.copySolid(d_img, 0);
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ncvAssertReturn(ncvStat == NCV_SUCCESS, false);
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ncvAssertCUDAReturn(cudaStreamSynchronize(0), false);
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//fill vector of rectangles with random rects covering the input
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NCVVectorReuse<Ncv32u> h_rects_as32u(h_rects.getSegment());
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ncvAssertReturn(h_rects_as32u.isMemReused(), false);
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ncvAssertReturn(this->src32u.fill(h_rects_as32u), false);
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for (Ncv32u i=0; i<this->numRects; i++)
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{
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h_rects.ptr()[i].x = (Ncv32u)(((1.0 * h_rects.ptr()[i].x) / RAND_MAX) * (this->width-2));
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h_rects.ptr()[i].y = (Ncv32u)(((1.0 * h_rects.ptr()[i].y) / RAND_MAX) * (this->height-2));
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h_rects.ptr()[i].width = (Ncv32u)(((1.0 * h_rects.ptr()[i].width) / RAND_MAX) * (this->width+10 - h_rects.ptr()[i].x));
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h_rects.ptr()[i].height = (Ncv32u)(((1.0 * h_rects.ptr()[i].height) / RAND_MAX) * (this->height+10 - h_rects.ptr()[i].y));
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}
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ncvStat = h_rects.copySolid(d_rects, 0);
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ncvAssertReturn(ncvStat == NCV_SUCCESS, false);
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ncvAssertCUDAReturn(cudaStreamSynchronize(0), false);
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if (sizeof(T) == sizeof(Ncv32u))
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{
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ncvStat = ncvDrawRects_32u_device((Ncv32u *)d_img.ptr(), d_img.stride(), this->width, this->height,
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(NcvRect32u *)d_rects.ptr(), this->numRects, this->color, 0);
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}
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else if (sizeof(T) == sizeof(Ncv8u))
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{
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ncvStat = ncvDrawRects_8u_device((Ncv8u *)d_img.ptr(), d_img.stride(), this->width, this->height,
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(NcvRect32u *)d_rects.ptr(), this->numRects, (Ncv8u)this->color, 0);
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}
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else
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{
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ncvAssertPrintReturn(false, "Incorrect drawrects test instance", false);
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}
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ncvAssertReturn(ncvStat == NCV_SUCCESS, false);
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NCV_SKIP_COND_END
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ncvStat = d_img.copySolid(h_img_d, 0);
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ncvAssertReturn(ncvStat == NCV_SUCCESS, false);
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ncvAssertCUDAReturn(cudaStreamSynchronize(0), false);
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NCV_SKIP_COND_BEGIN
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if (sizeof(T) == sizeof(Ncv32u))
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{
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ncvStat = ncvDrawRects_32u_host((Ncv32u *)h_img.ptr(), h_img.stride(), this->width, this->height,
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(NcvRect32u *)h_rects.ptr(), this->numRects, this->color);
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}
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else if (sizeof(T) == sizeof(Ncv8u))
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{
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ncvStat = ncvDrawRects_8u_host((Ncv8u *)h_img.ptr(), h_img.stride(), this->width, this->height,
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(NcvRect32u *)h_rects.ptr(), this->numRects, (Ncv8u)this->color);
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}
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else
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{
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ncvAssertPrintReturn(false, "Incorrect drawrects test instance", false);
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}
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ncvAssertReturn(ncvStat == NCV_SUCCESS, false);
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NCV_SKIP_COND_END
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//bit-to-bit check
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bool bLoopVirgin = true;
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NCV_SKIP_COND_BEGIN
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//const Ncv64f relEPS = 0.005;
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for (Ncv32u i=0; bLoopVirgin && i < h_img.height(); i++)
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{
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for (Ncv32u j=0; bLoopVirgin && j < h_img.width(); j++)
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{
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if (h_img.ptr()[h_img.stride()*i+j] != h_img_d.ptr()[h_img_d.stride()*i+j])
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{
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bLoopVirgin = false;
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}
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}
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}
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NCV_SKIP_COND_END
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if (bLoopVirgin)
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{
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rcode = true;
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}
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return rcode;
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}
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template <class T>
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bool TestDrawRects<T>::deinit()
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{
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return true;
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}
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template class TestDrawRects<Ncv8u>;
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template class TestDrawRects<Ncv32u>;
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#endif /* CUDA_DISABLER */
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