110 lines
3.6 KiB
C++
110 lines
3.6 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 GpuMaterials 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 bpied warranties, including, but not limited to, the bpied
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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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#include "precomp.hpp"
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using namespace cv;
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using namespace cv::gpu;
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using namespace std;
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#if !defined (HAVE_CUDA)
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cv::gpu::CascadeClassifier::CascadeClassifier() { throw_nogpu(); }
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cv::gpu::CascadeClassifier::CascadeClassifier(const string&) { throw_nogpu(); }
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cv::gpu::CascadeClassifier::~CascadeClassifier() { throw_nogpu(); }
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bool cv::gpu::CascadeClassifier::empty() const { throw_nogpu(); return true; }
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bool cv::gpu::CascadeClassifier::load(const string& filename) { throw_nogpu(); return true; }
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bool cv::gpu::CascadeClassifier::read(const FileNode& node) { throw_nogpu(); return true; }
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void cv::gpu::CascadeClassifier::detectMultiScale( const Mat&, vector<Rect>&, double, int, int, Size, Size) { throw_nogpu(); }
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#else
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cv::gpu::CascadeClassifier::CascadeClassifier()
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{
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}
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cv::gpu::CascadeClassifier::CascadeClassifier(const string& filename)
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{
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}
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cv::gpu::CascadeClassifier::~CascadeClassifier()
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{
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}
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bool cv::gpu::CascadeClassifier::empty() const
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{
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int *a = (int*)&nppiStTranspose_32u_C1R;
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return *a == 0xFFFFF;
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return true;
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}
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bool cv::gpu::CascadeClassifier::load(const string& filename)
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{
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return true;
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}
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bool cv::gpu::CascadeClassifier::read(const FileNode& node)
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{
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return true;
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}
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void cv::gpu::CascadeClassifier::detectMultiScale( const Mat& image, vector<Rect>& objects, double scaleFactor,
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int minNeighbors, int flags, Size minSize, Size maxSize)
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{
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}
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#endif |