194 lines
		
	
	
		
			6.9 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			194 lines
		
	
	
		
			6.9 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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#ifndef _ncvtestsourceprovider_hpp_
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#define _ncvtestsourceprovider_hpp_
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#include <memory>
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#include "opencv2/highgui.hpp"
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#include "opencv2/cudalegacy.hpp"
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template <class T>
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class NCVTestSourceProvider
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{
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public:
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    NCVTestSourceProvider(Ncv32u seed, T rangeLow, T rangeHigh, Ncv32u maxWidth, Ncv32u maxHeight)
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        :
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        bInit(false)
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    {
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        ncvAssertPrintReturn(rangeLow < rangeHigh, "NCVTestSourceProvider ctor:: Invalid range", );
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        int devId;
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        cudaDeviceProp devProp;
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        ncvAssertPrintReturn(cudaSuccess == cudaGetDevice(&devId), "Error returned from cudaGetDevice", );
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        ncvAssertPrintReturn(cudaSuccess == cudaGetDeviceProperties(&devProp, devId), "Error returned from cudaGetDeviceProperties", );
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        //Ncv32u maxWpitch = alignUp(maxWidth * sizeof(T), devProp.textureAlignment);
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        allocatorCPU.reset(new NCVMemNativeAllocator(NCVMemoryTypeHostPinned, static_cast<Ncv32u>(devProp.textureAlignment)));
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        data.reset(new NCVMatrixAlloc<T>(*this->allocatorCPU.get(), maxWidth, maxHeight));
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        ncvAssertPrintReturn(data.get()->isMemAllocated(), "NCVTestSourceProvider ctor:: Matrix not allocated", );
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        this->dataWidth = maxWidth;
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        this->dataHeight = maxHeight;
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        srand(seed);
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        for (Ncv32u i=0; i<maxHeight; i++)
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        {
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            for (Ncv32u j=0; j<data.get()->stride(); j++)
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            {
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                data.get()->ptr()[i * data.get()->stride() + j] =
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                    (T)(((1.0 * rand()) / RAND_MAX) * (rangeHigh - rangeLow) + rangeLow);
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            }
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        }
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        this->bInit = true;
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    }
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    NCVTestSourceProvider(std::string pgmFilename)
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        :
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        bInit(false)
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    {
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        ncvAssertPrintReturn(sizeof(T) == 1, "NCVTestSourceProvider ctor:: PGM constructor complies only with 8bit types", );
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        cv::Mat image = cv::imread(pgmFilename);
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        ncvAssertPrintReturn(!image.empty(), "NCVTestSourceProvider ctor:: PGM file error", );
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        int devId;
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        cudaDeviceProp devProp;
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        ncvAssertPrintReturn(cudaSuccess == cudaGetDevice(&devId), "Error returned from cudaGetDevice", );
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        ncvAssertPrintReturn(cudaSuccess == cudaGetDeviceProperties(&devProp, devId), "Error returned from cudaGetDeviceProperties", );
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        allocatorCPU.reset(new NCVMemNativeAllocator(NCVMemoryTypeHostPinned, static_cast<Ncv32u>(devProp.textureAlignment)));
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        data.reset(new NCVMatrixAlloc<T>(*this->allocatorCPU.get(), image.cols, image.rows));
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        ncvAssertPrintReturn(data.get()->isMemAllocated(), "NCVTestSourceProvider ctor:: Matrix not allocated", );
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        this->dataWidth = image.cols;
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        this->dataHeight = image.rows;
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        cv::Mat hdr(image.size(), CV_8UC1, data.get()->ptr(), data.get()->pitch());
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        image.copyTo(hdr);
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        this->bInit = true;
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    }
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    NcvBool fill(NCVMatrix<T> &dst)
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    {
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        ncvAssertReturn(this->isInit() &&
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                        dst.memType() == allocatorCPU.get()->memType(), false);
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        if (dst.width() == 0 || dst.height() == 0)
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        {
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            return true;
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        }
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        for (Ncv32u i=0; i<dst.height(); i++)
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        {
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            Ncv32u srcLine = i % this->dataHeight;
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            Ncv32u srcFullChunks = dst.width() / this->dataWidth;
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            for (Ncv32u j=0; j<srcFullChunks; j++)
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            {
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                memcpy(dst.ptr() + i * dst.stride() + j * this->dataWidth,
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                    this->data.get()->ptr() + this->data.get()->stride() * srcLine,
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                    this->dataWidth * sizeof(T));
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            }
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            Ncv32u srcLastChunk = dst.width() % this->dataWidth;
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            memcpy(dst.ptr() + i * dst.stride() + srcFullChunks * this->dataWidth,
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                this->data.get()->ptr() + this->data.get()->stride() * srcLine,
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                srcLastChunk * sizeof(T));
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        }
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        return true;
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    }
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    NcvBool fill(NCVVector<T> &dst)
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    {
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        ncvAssertReturn(this->isInit() &&
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                        dst.memType() == allocatorCPU.get()->memType(), false);
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        if (dst.length() == 0)
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        {
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            return true;
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        }
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        Ncv32u srcLen = this->dataWidth * this->dataHeight;
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        Ncv32u srcFullChunks = (Ncv32u)dst.length() / srcLen;
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        for (Ncv32u j=0; j<srcFullChunks; j++)
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        {
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            memcpy(dst.ptr() + j * srcLen, this->data.get()->ptr(), srcLen * sizeof(T));
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        }
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        Ncv32u srcLastChunk = dst.length() % srcLen;
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        memcpy(dst.ptr() + srcFullChunks * srcLen, this->data.get()->ptr(), srcLastChunk * sizeof(T));
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        return true;
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    }
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    ~NCVTestSourceProvider()
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    {
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        data.reset();
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        allocatorCPU.reset();
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    }
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private:
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    NcvBool isInit(void)
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    {
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        return this->bInit;
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    }
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    NcvBool bInit;
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    std::auto_ptr< INCVMemAllocator > allocatorCPU;
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    std::auto_ptr< NCVMatrixAlloc<T> > data;
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    Ncv32u dataWidth;
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    Ncv32u dataHeight;
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};
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#endif // _ncvtestsourceprovider_hpp_
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