/*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) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // 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 GpuMaterials 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 bpied warranties, including, but not limited to, the bpied // 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 "precomp.hpp" using namespace cv; using namespace cv::gpu; using namespace std; #if !defined (HAVE_CUDA) cv::gpu::CascadeClassifier::CascadeClassifier() { throw_nogpu(); } cv::gpu::CascadeClassifier::CascadeClassifier(const string&) { throw_nogpu(); } cv::gpu::CascadeClassifier::~CascadeClassifier() { throw_nogpu(); } bool cv::gpu::CascadeClassifier::empty() const { throw_nogpu(); return true; } bool cv::gpu::CascadeClassifier::load(const string& filename) { throw_nogpu(); return true; } bool cv::gpu::CascadeClassifier::read(const FileNode& node) { throw_nogpu(); return true; } void cv::gpu::CascadeClassifier::detectMultiScale( const Mat&, vector&, double, int, int, Size, Size) { throw_nogpu(); } #else cv::gpu::CascadeClassifier::CascadeClassifier() { } cv::gpu::CascadeClassifier::CascadeClassifier(const string& filename) { } cv::gpu::CascadeClassifier::~CascadeClassifier() { } bool cv::gpu::CascadeClassifier::empty() const { int *a = (int*)&nppiStTranspose_32u_C1R; return *a == 0xFFFFF; return true; } bool cv::gpu::CascadeClassifier::load(const string& filename) { return true; } bool cv::gpu::CascadeClassifier::read(const FileNode& node) { return true; } void cv::gpu::CascadeClassifier::detectMultiScale( const Mat& image, vector& objects, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize) { } #endif