1240 lines
38 KiB
C++
1240 lines
38 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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// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
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// Copyright (C) 2015, Itseez 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 OPENCV_CORE_UTILITY_H
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#define OPENCV_CORE_UTILITY_H
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#ifndef __cplusplus
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# error utility.hpp header must be compiled as C++
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#endif
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#if defined(check)
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# warning Detected Apple 'check' macro definition, it can cause build conflicts. Please, include this header before any Apple headers.
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#endif
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#include "opencv2/core.hpp"
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#include <ostream>
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#ifdef CV_CXX11
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#include <functional>
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#endif
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namespace cv
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{
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#ifdef CV_COLLECT_IMPL_DATA
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CV_EXPORTS void setImpl(int flags); // set implementation flags and reset storage arrays
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CV_EXPORTS void addImpl(int flag, const char* func = 0); // add implementation and function name to storage arrays
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// Get stored implementation flags and functions names arrays
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// Each implementation entry correspond to function name entry, so you can find which implementation was executed in which function
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CV_EXPORTS int getImpl(std::vector<int> &impl, std::vector<String> &funName);
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CV_EXPORTS bool useCollection(); // return implementation collection state
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CV_EXPORTS void setUseCollection(bool flag); // set implementation collection state
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#define CV_IMPL_PLAIN 0x01 // native CPU OpenCV implementation
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#define CV_IMPL_OCL 0x02 // OpenCL implementation
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#define CV_IMPL_IPP 0x04 // IPP implementation
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#define CV_IMPL_MT 0x10 // multithreaded implementation
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#define CV_IMPL_ADD(impl) \
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if(cv::useCollection()) \
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{ \
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cv::addImpl(impl, CV_Func); \
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}
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#else
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#define CV_IMPL_ADD(impl)
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#endif
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//! @addtogroup core_utils
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//! @{
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/** @brief Automatically Allocated Buffer Class
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The class is used for temporary buffers in functions and methods.
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If a temporary buffer is usually small (a few K's of memory),
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but its size depends on the parameters, it makes sense to create a small
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fixed-size array on stack and use it if it's large enough. If the required buffer size
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is larger than the fixed size, another buffer of sufficient size is allocated dynamically
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and released after the processing. Therefore, in typical cases, when the buffer size is small,
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there is no overhead associated with malloc()/free().
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At the same time, there is no limit on the size of processed data.
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This is what AutoBuffer does. The template takes 2 parameters - type of the buffer elements and
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the number of stack-allocated elements. Here is how the class is used:
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\code
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void my_func(const cv::Mat& m)
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{
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cv::AutoBuffer<float> buf(1000); // create automatic buffer containing 1000 floats
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buf.allocate(m.rows); // if m.rows <= 1000, the pre-allocated buffer is used,
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// otherwise the buffer of "m.rows" floats will be allocated
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// dynamically and deallocated in cv::AutoBuffer destructor
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...
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}
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\endcode
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*/
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template<typename _Tp, size_t fixed_size = 1024/sizeof(_Tp)+8> class AutoBuffer
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{
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public:
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typedef _Tp value_type;
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//! the default constructor
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AutoBuffer();
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//! constructor taking the real buffer size
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AutoBuffer(size_t _size);
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//! the copy constructor
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AutoBuffer(const AutoBuffer<_Tp, fixed_size>& buf);
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//! the assignment operator
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AutoBuffer<_Tp, fixed_size>& operator = (const AutoBuffer<_Tp, fixed_size>& buf);
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//! destructor. calls deallocate()
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~AutoBuffer();
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//! allocates the new buffer of size _size. if the _size is small enough, stack-allocated buffer is used
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void allocate(size_t _size);
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//! deallocates the buffer if it was dynamically allocated
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void deallocate();
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//! resizes the buffer and preserves the content
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void resize(size_t _size);
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//! returns the current buffer size
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size_t size() const;
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//! returns pointer to the real buffer, stack-allocated or heap-allocated
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operator _Tp* ();
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//! returns read-only pointer to the real buffer, stack-allocated or heap-allocated
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operator const _Tp* () const;
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protected:
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//! pointer to the real buffer, can point to buf if the buffer is small enough
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_Tp* ptr;
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//! size of the real buffer
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size_t sz;
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//! pre-allocated buffer. At least 1 element to confirm C++ standard requirements
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_Tp buf[(fixed_size > 0) ? fixed_size : 1];
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};
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/** @brief Sets/resets the break-on-error mode.
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When the break-on-error mode is set, the default error handler issues a hardware exception, which
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can make debugging more convenient.
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\return the previous state
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*/
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CV_EXPORTS bool setBreakOnError(bool flag);
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extern "C" typedef int (*ErrorCallback)( int status, const char* func_name,
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const char* err_msg, const char* file_name,
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int line, void* userdata );
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/** @brief Sets the new error handler and the optional user data.
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The function sets the new error handler, called from cv::error().
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\param errCallback the new error handler. If NULL, the default error handler is used.
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\param userdata the optional user data pointer, passed to the callback.
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\param prevUserdata the optional output parameter where the previous user data pointer is stored
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\return the previous error handler
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*/
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CV_EXPORTS ErrorCallback redirectError( ErrorCallback errCallback, void* userdata=0, void** prevUserdata=0);
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/** @brief Returns a text string formatted using the printf-like expression.
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The function acts like sprintf but forms and returns an STL string. It can be used to form an error
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message in the Exception constructor.
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@param fmt printf-compatible formatting specifiers.
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*/
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CV_EXPORTS String format( const char* fmt, ... );
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CV_EXPORTS String tempfile( const char* suffix = 0);
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CV_EXPORTS void glob(String pattern, std::vector<String>& result, bool recursive = false);
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/** @brief OpenCV will try to set the number of threads for the next parallel region.
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If threads == 0, OpenCV will disable threading optimizations and run all it's functions
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sequentially. Passing threads \< 0 will reset threads number to system default. This function must
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be called outside of parallel region.
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OpenCV will try to run its functions with specified threads number, but some behaviour differs from
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framework:
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- `TBB` - User-defined parallel constructions will run with the same threads number, if
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another is not specified. If later on user creates his own scheduler, OpenCV will use it.
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- `OpenMP` - No special defined behaviour.
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- `Concurrency` - If threads == 1, OpenCV will disable threading optimizations and run its
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functions sequentially.
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- `GCD` - Supports only values \<= 0.
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- `C=` - No special defined behaviour.
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@param nthreads Number of threads used by OpenCV.
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@sa getNumThreads, getThreadNum
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*/
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CV_EXPORTS_W void setNumThreads(int nthreads);
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/** @brief Returns the number of threads used by OpenCV for parallel regions.
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Always returns 1 if OpenCV is built without threading support.
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The exact meaning of return value depends on the threading framework used by OpenCV library:
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- `TBB` - The number of threads, that OpenCV will try to use for parallel regions. If there is
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any tbb::thread_scheduler_init in user code conflicting with OpenCV, then function returns
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default number of threads used by TBB library.
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- `OpenMP` - An upper bound on the number of threads that could be used to form a new team.
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- `Concurrency` - The number of threads, that OpenCV will try to use for parallel regions.
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- `GCD` - Unsupported; returns the GCD thread pool limit (512) for compatibility.
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- `C=` - The number of threads, that OpenCV will try to use for parallel regions, if before
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called setNumThreads with threads \> 0, otherwise returns the number of logical CPUs,
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available for the process.
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@sa setNumThreads, getThreadNum
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*/
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CV_EXPORTS_W int getNumThreads();
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/** @brief Returns the index of the currently executed thread within the current parallel region. Always
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returns 0 if called outside of parallel region.
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The exact meaning of the return value depends on the threading framework used by OpenCV library:
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- `TBB` - Unsupported with current 4.1 TBB release. Maybe will be supported in future.
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- `OpenMP` - The thread number, within the current team, of the calling thread.
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- `Concurrency` - An ID for the virtual processor that the current context is executing on (0
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for master thread and unique number for others, but not necessary 1,2,3,...).
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- `GCD` - System calling thread's ID. Never returns 0 inside parallel region.
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- `C=` - The index of the current parallel task.
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@sa setNumThreads, getNumThreads
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*/
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CV_EXPORTS_W int getThreadNum();
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/** @brief Returns full configuration time cmake output.
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Returned value is raw cmake output including version control system revision, compiler version,
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compiler flags, enabled modules and third party libraries, etc. Output format depends on target
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architecture.
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*/
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CV_EXPORTS_W const String& getBuildInformation();
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/** @brief Returns the number of ticks.
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The function returns the number of ticks after the certain event (for example, when the machine was
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turned on). It can be used to initialize RNG or to measure a function execution time by reading the
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tick count before and after the function call.
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@sa getTickFrequency, TickMeter
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*/
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CV_EXPORTS_W int64 getTickCount();
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/** @brief Returns the number of ticks per second.
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The function returns the number of ticks per second. That is, the following code computes the
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execution time in seconds:
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@code
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double t = (double)getTickCount();
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// do something ...
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t = ((double)getTickCount() - t)/getTickFrequency();
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@endcode
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@sa getTickCount, TickMeter
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*/
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CV_EXPORTS_W double getTickFrequency();
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/** @brief a Class to measure passing time.
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The class computes passing time by counting the number of ticks per second. That is, the following code computes the
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execution time in seconds:
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@code
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TickMeter tm;
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tm.start();
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// do something ...
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tm.stop();
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std::cout << tm.getTimeSec();
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@endcode
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It is also possible to compute the average time over multiple runs:
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@code
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TickMeter tm;
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for (int i = 0; i < 100; i++)
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{
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tm.start();
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// do something ...
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tm.stop();
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}
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double average_time = tm.getTimeSec() / tm.getCounter();
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std::cout << "Average time in second per iteration is: " << average_time << std::endl;
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@endcode
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@sa getTickCount, getTickFrequency
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*/
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class CV_EXPORTS_W TickMeter
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{
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public:
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//! the default constructor
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CV_WRAP TickMeter()
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{
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reset();
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}
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/**
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starts counting ticks.
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*/
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CV_WRAP void start()
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{
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startTime = cv::getTickCount();
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}
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/**
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stops counting ticks.
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*/
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CV_WRAP void stop()
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{
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int64 time = cv::getTickCount();
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if (startTime == 0)
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return;
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++counter;
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sumTime += (time - startTime);
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startTime = 0;
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}
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/**
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returns counted ticks.
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*/
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CV_WRAP int64 getTimeTicks() const
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{
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return sumTime;
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}
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/**
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returns passed time in microseconds.
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*/
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CV_WRAP double getTimeMicro() const
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{
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return getTimeMilli()*1e3;
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}
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/**
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returns passed time in milliseconds.
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*/
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CV_WRAP double getTimeMilli() const
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{
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return getTimeSec()*1e3;
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}
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/**
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returns passed time in seconds.
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*/
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CV_WRAP double getTimeSec() const
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{
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return (double)getTimeTicks() / getTickFrequency();
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}
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/**
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returns internal counter value.
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*/
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CV_WRAP int64 getCounter() const
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{
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return counter;
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}
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/**
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resets internal values.
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*/
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CV_WRAP void reset()
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{
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startTime = 0;
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sumTime = 0;
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counter = 0;
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}
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private:
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int64 counter;
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int64 sumTime;
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int64 startTime;
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};
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/** @brief output operator
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@code
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TickMeter tm;
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tm.start();
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// do something ...
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tm.stop();
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std::cout << tm;
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@endcode
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*/
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static inline
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std::ostream& operator << (std::ostream& out, const TickMeter& tm)
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{
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return out << tm.getTimeSec() << "sec";
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}
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/** @brief Returns the number of CPU ticks.
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The function returns the current number of CPU ticks on some architectures (such as x86, x64,
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PowerPC). On other platforms the function is equivalent to getTickCount. It can also be used for
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very accurate time measurements, as well as for RNG initialization. Note that in case of multi-CPU
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systems a thread, from which getCPUTickCount is called, can be suspended and resumed at another CPU
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with its own counter. So, theoretically (and practically) the subsequent calls to the function do
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not necessary return the monotonously increasing values. Also, since a modern CPU varies the CPU
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frequency depending on the load, the number of CPU clocks spent in some code cannot be directly
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converted to time units. Therefore, getTickCount is generally a preferable solution for measuring
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execution time.
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*/
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CV_EXPORTS_W int64 getCPUTickCount();
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/** @brief Returns true if the specified feature is supported by the host hardware.
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The function returns true if the host hardware supports the specified feature. When user calls
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setUseOptimized(false), the subsequent calls to checkHardwareSupport() will return false until
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setUseOptimized(true) is called. This way user can dynamically switch on and off the optimized code
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in OpenCV.
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@param feature The feature of interest, one of cv::CpuFeatures
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*/
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CV_EXPORTS_W bool checkHardwareSupport(int feature);
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/** @brief Returns the number of logical CPUs available for the process.
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*/
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CV_EXPORTS_W int getNumberOfCPUs();
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/** @brief Aligns a pointer to the specified number of bytes.
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The function returns the aligned pointer of the same type as the input pointer:
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\f[\texttt{(_Tp*)(((size_t)ptr + n-1) & -n)}\f]
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@param ptr Aligned pointer.
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@param n Alignment size that must be a power of two.
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*/
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template<typename _Tp> static inline _Tp* alignPtr(_Tp* ptr, int n=(int)sizeof(_Tp))
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{
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CV_DbgAssert((n & (n - 1)) == 0); // n is a power of 2
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return (_Tp*)(((size_t)ptr + n-1) & -n);
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}
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/** @brief Aligns a buffer size to the specified number of bytes.
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The function returns the minimum number that is greater than or equal to sz and is divisible by n :
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\f[\texttt{(sz + n-1) & -n}\f]
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@param sz Buffer size to align.
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@param n Alignment size that must be a power of two.
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*/
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static inline size_t alignSize(size_t sz, int n)
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{
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CV_DbgAssert((n & (n - 1)) == 0); // n is a power of 2
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return (sz + n-1) & -n;
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}
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/** @brief Integer division with result round up.
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Use this function instead of `ceil((float)a / b)` expressions.
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@sa alignSize
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*/
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static inline int divUp(int a, unsigned int b)
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{
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CV_DbgAssert(a >= 0);
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return (a + b - 1) / b;
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}
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/** @overload */
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static inline size_t divUp(size_t a, unsigned int b)
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{
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return (a + b - 1) / b;
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}
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/** @brief Enables or disables the optimized code.
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The function can be used to dynamically turn on and off optimized code (code that uses SSE2, AVX,
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and other instructions on the platforms that support it). It sets a global flag that is further
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checked by OpenCV functions. Since the flag is not checked in the inner OpenCV loops, it is only
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safe to call the function on the very top level in your application where you can be sure that no
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other OpenCV function is currently executed.
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By default, the optimized code is enabled unless you disable it in CMake. The current status can be
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retrieved using useOptimized.
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@param onoff The boolean flag specifying whether the optimized code should be used (onoff=true)
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or not (onoff=false).
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*/
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CV_EXPORTS_W void setUseOptimized(bool onoff);
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/** @brief Returns the status of optimized code usage.
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The function returns true if the optimized code is enabled. Otherwise, it returns false.
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*/
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CV_EXPORTS_W bool useOptimized();
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static inline size_t getElemSize(int type) { return (size_t)CV_ELEM_SIZE(type); }
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/////////////////////////////// Parallel Primitives //////////////////////////////////
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/** @brief Base class for parallel data processors
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*/
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class CV_EXPORTS ParallelLoopBody
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{
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public:
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virtual ~ParallelLoopBody();
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virtual void operator() (const Range& range) const = 0;
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};
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/** @brief Parallel data processor
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*/
|
|
CV_EXPORTS void parallel_for_(const Range& range, const ParallelLoopBody& body, double nstripes=-1.);
|
|
|
|
#ifdef CV_CXX11
|
|
class ParallelLoopBodyLambdaWrapper : public ParallelLoopBody
|
|
{
|
|
private:
|
|
std::function<void(const Range&)> m_functor;
|
|
public:
|
|
ParallelLoopBodyLambdaWrapper(std::function<void(const Range&)> functor) :
|
|
m_functor(functor)
|
|
{ }
|
|
|
|
virtual void operator() (const cv::Range& range) const
|
|
{
|
|
m_functor(range);
|
|
}
|
|
};
|
|
|
|
inline void parallel_for_(const Range& range, std::function<void(const Range&)> functor, double nstripes=-1.)
|
|
{
|
|
parallel_for_(range, ParallelLoopBodyLambdaWrapper(functor), nstripes);
|
|
}
|
|
#endif
|
|
|
|
/////////////////////////////// forEach method of cv::Mat ////////////////////////////
|
|
template<typename _Tp, typename Functor> inline
|
|
void Mat::forEach_impl(const Functor& operation) {
|
|
if (false) {
|
|
operation(*reinterpret_cast<_Tp*>(0), reinterpret_cast<int*>(0));
|
|
// If your compiler fails in this line.
|
|
// Please check that your functor signature is
|
|
// (_Tp&, const int*) <- multi-dimensional
|
|
// or (_Tp&, void*) <- in case you don't need current idx.
|
|
}
|
|
|
|
CV_Assert(this->total() / this->size[this->dims - 1] <= INT_MAX);
|
|
const int LINES = static_cast<int>(this->total() / this->size[this->dims - 1]);
|
|
|
|
class PixelOperationWrapper :public ParallelLoopBody
|
|
{
|
|
public:
|
|
PixelOperationWrapper(Mat_<_Tp>* const frame, const Functor& _operation)
|
|
: mat(frame), op(_operation) {}
|
|
virtual ~PixelOperationWrapper(){}
|
|
// ! Overloaded virtual operator
|
|
// convert range call to row call.
|
|
virtual void operator()(const Range &range) const {
|
|
const int DIMS = mat->dims;
|
|
const int COLS = mat->size[DIMS - 1];
|
|
if (DIMS <= 2) {
|
|
for (int row = range.start; row < range.end; ++row) {
|
|
this->rowCall2(row, COLS);
|
|
}
|
|
} else {
|
|
std::vector<int> idx(DIMS); /// idx is modified in this->rowCall
|
|
idx[DIMS - 2] = range.start - 1;
|
|
|
|
for (int line_num = range.start; line_num < range.end; ++line_num) {
|
|
idx[DIMS - 2]++;
|
|
for (int i = DIMS - 2; i >= 0; --i) {
|
|
if (idx[i] >= mat->size[i]) {
|
|
idx[i - 1] += idx[i] / mat->size[i];
|
|
idx[i] %= mat->size[i];
|
|
continue; // carry-over;
|
|
}
|
|
else {
|
|
break;
|
|
}
|
|
}
|
|
this->rowCall(&idx[0], COLS, DIMS);
|
|
}
|
|
}
|
|
}
|
|
private:
|
|
Mat_<_Tp>* const mat;
|
|
const Functor op;
|
|
// ! Call operator for each elements in this row.
|
|
inline void rowCall(int* const idx, const int COLS, const int DIMS) const {
|
|
int &col = idx[DIMS - 1];
|
|
col = 0;
|
|
_Tp* pixel = &(mat->template at<_Tp>(idx));
|
|
|
|
while (col < COLS) {
|
|
op(*pixel, const_cast<const int*>(idx));
|
|
pixel++; col++;
|
|
}
|
|
col = 0;
|
|
}
|
|
// ! Call operator for each elements in this row. 2d mat special version.
|
|
inline void rowCall2(const int row, const int COLS) const {
|
|
union Index{
|
|
int body[2];
|
|
operator const int*() const {
|
|
return reinterpret_cast<const int*>(this);
|
|
}
|
|
int& operator[](const int i) {
|
|
return body[i];
|
|
}
|
|
} idx = {{row, 0}};
|
|
// Special union is needed to avoid
|
|
// "error: array subscript is above array bounds [-Werror=array-bounds]"
|
|
// when call the functor `op` such that access idx[3].
|
|
|
|
_Tp* pixel = &(mat->template at<_Tp>(idx));
|
|
const _Tp* const pixel_end = pixel + COLS;
|
|
while(pixel < pixel_end) {
|
|
op(*pixel++, static_cast<const int*>(idx));
|
|
idx[1]++;
|
|
}
|
|
}
|
|
PixelOperationWrapper& operator=(const PixelOperationWrapper &) {
|
|
CV_Assert(false);
|
|
// We can not remove this implementation because Visual Studio warning C4822.
|
|
return *this;
|
|
}
|
|
};
|
|
|
|
parallel_for_(cv::Range(0, LINES), PixelOperationWrapper(reinterpret_cast<Mat_<_Tp>*>(this), operation));
|
|
}
|
|
|
|
/////////////////////////// Synchronization Primitives ///////////////////////////////
|
|
|
|
class CV_EXPORTS Mutex
|
|
{
|
|
public:
|
|
Mutex();
|
|
~Mutex();
|
|
Mutex(const Mutex& m);
|
|
Mutex& operator = (const Mutex& m);
|
|
|
|
void lock();
|
|
bool trylock();
|
|
void unlock();
|
|
|
|
struct Impl;
|
|
protected:
|
|
Impl* impl;
|
|
};
|
|
|
|
class CV_EXPORTS AutoLock
|
|
{
|
|
public:
|
|
AutoLock(Mutex& m) : mutex(&m) { mutex->lock(); }
|
|
~AutoLock() { mutex->unlock(); }
|
|
protected:
|
|
Mutex* mutex;
|
|
private:
|
|
AutoLock(const AutoLock&);
|
|
AutoLock& operator = (const AutoLock&);
|
|
};
|
|
|
|
// TLS interface
|
|
class CV_EXPORTS TLSDataContainer
|
|
{
|
|
protected:
|
|
TLSDataContainer();
|
|
virtual ~TLSDataContainer();
|
|
|
|
void gatherData(std::vector<void*> &data) const;
|
|
#if OPENCV_ABI_COMPATIBILITY > 300
|
|
void* getData() const;
|
|
void release();
|
|
|
|
private:
|
|
#else
|
|
void release();
|
|
|
|
public:
|
|
void* getData() const;
|
|
#endif
|
|
virtual void* createDataInstance() const = 0;
|
|
virtual void deleteDataInstance(void* pData) const = 0;
|
|
|
|
int key_;
|
|
|
|
public:
|
|
void cleanup(); //! Release created TLS data container objects. It is similar to release() call, but it keeps TLS container valid.
|
|
};
|
|
|
|
// Main TLS data class
|
|
template <typename T>
|
|
class TLSData : protected TLSDataContainer
|
|
{
|
|
public:
|
|
inline TLSData() {}
|
|
inline ~TLSData() { release(); } // Release key and delete associated data
|
|
inline T* get() const { return (T*)getData(); } // Get data associated with key
|
|
inline T& getRef() const { T* ptr = (T*)getData(); CV_Assert(ptr); return *ptr; } // Get data associated with key
|
|
|
|
// Get data from all threads
|
|
inline void gather(std::vector<T*> &data) const
|
|
{
|
|
std::vector<void*> &dataVoid = reinterpret_cast<std::vector<void*>&>(data);
|
|
gatherData(dataVoid);
|
|
}
|
|
|
|
inline void cleanup() { TLSDataContainer::cleanup(); }
|
|
|
|
private:
|
|
virtual void* createDataInstance() const {return new T;} // Wrapper to allocate data by template
|
|
virtual void deleteDataInstance(void* pData) const {delete (T*)pData;} // Wrapper to release data by template
|
|
|
|
// Disable TLS copy operations
|
|
TLSData(TLSData &) {}
|
|
TLSData& operator =(const TLSData &) {return *this;}
|
|
};
|
|
|
|
/** @brief Designed for command line parsing
|
|
|
|
The sample below demonstrates how to use CommandLineParser:
|
|
@code
|
|
CommandLineParser parser(argc, argv, keys);
|
|
parser.about("Application name v1.0.0");
|
|
|
|
if (parser.has("help"))
|
|
{
|
|
parser.printMessage();
|
|
return 0;
|
|
}
|
|
|
|
int N = parser.get<int>("N");
|
|
double fps = parser.get<double>("fps");
|
|
String path = parser.get<String>("path");
|
|
|
|
use_time_stamp = parser.has("timestamp");
|
|
|
|
String img1 = parser.get<String>(0);
|
|
String img2 = parser.get<String>(1);
|
|
|
|
int repeat = parser.get<int>(2);
|
|
|
|
if (!parser.check())
|
|
{
|
|
parser.printErrors();
|
|
return 0;
|
|
}
|
|
@endcode
|
|
|
|
### Keys syntax
|
|
|
|
The keys parameter is a string containing several blocks, each one is enclosed in curly braces and
|
|
describes one argument. Each argument contains three parts separated by the `|` symbol:
|
|
|
|
-# argument names is a space-separated list of option synonyms (to mark argument as positional, prefix it with the `@` symbol)
|
|
-# default value will be used if the argument was not provided (can be empty)
|
|
-# help message (can be empty)
|
|
|
|
For example:
|
|
|
|
@code{.cpp}
|
|
const String keys =
|
|
"{help h usage ? | | print this message }"
|
|
"{@image1 | | image1 for compare }"
|
|
"{@image2 |<none>| image2 for compare }"
|
|
"{@repeat |1 | number }"
|
|
"{path |. | path to file }"
|
|
"{fps | -1.0 | fps for output video }"
|
|
"{N count |100 | count of objects }"
|
|
"{ts timestamp | | use time stamp }"
|
|
;
|
|
}
|
|
@endcode
|
|
|
|
Note that there are no default values for `help` and `timestamp` so we can check their presence using the `has()` method.
|
|
Arguments with default values are considered to be always present. Use the `get()` method in these cases to check their
|
|
actual value instead.
|
|
|
|
String keys like `get<String>("@image1")` return the empty string `""` by default - even with an empty default value.
|
|
Use the special `<none>` default value to enforce that the returned string must not be empty. (like in `get<String>("@image2")`)
|
|
|
|
### Usage
|
|
|
|
For the described keys:
|
|
|
|
@code{.sh}
|
|
# Good call (3 positional parameters: image1, image2 and repeat; N is 200, ts is true)
|
|
$ ./app -N=200 1.png 2.jpg 19 -ts
|
|
|
|
# Bad call
|
|
$ ./app -fps=aaa
|
|
ERRORS:
|
|
Parameter 'fps': can not convert: [aaa] to [double]
|
|
@endcode
|
|
*/
|
|
class CV_EXPORTS CommandLineParser
|
|
{
|
|
public:
|
|
|
|
/** @brief Constructor
|
|
|
|
Initializes command line parser object
|
|
|
|
@param argc number of command line arguments (from main())
|
|
@param argv array of command line arguments (from main())
|
|
@param keys string describing acceptable command line parameters (see class description for syntax)
|
|
*/
|
|
CommandLineParser(int argc, const char* const argv[], const String& keys);
|
|
|
|
/** @brief Copy constructor */
|
|
CommandLineParser(const CommandLineParser& parser);
|
|
|
|
/** @brief Assignment operator */
|
|
CommandLineParser& operator = (const CommandLineParser& parser);
|
|
|
|
/** @brief Destructor */
|
|
~CommandLineParser();
|
|
|
|
/** @brief Returns application path
|
|
|
|
This method returns the path to the executable from the command line (`argv[0]`).
|
|
|
|
For example, if the application has been started with such a command:
|
|
@code{.sh}
|
|
$ ./bin/my-executable
|
|
@endcode
|
|
this method will return `./bin`.
|
|
*/
|
|
String getPathToApplication() const;
|
|
|
|
/** @brief Access arguments by name
|
|
|
|
Returns argument converted to selected type. If the argument is not known or can not be
|
|
converted to selected type, the error flag is set (can be checked with @ref check).
|
|
|
|
For example, define:
|
|
@code{.cpp}
|
|
String keys = "{N count||}";
|
|
@endcode
|
|
|
|
Call:
|
|
@code{.sh}
|
|
$ ./my-app -N=20
|
|
# or
|
|
$ ./my-app --count=20
|
|
@endcode
|
|
|
|
Access:
|
|
@code{.cpp}
|
|
int N = parser.get<int>("N");
|
|
@endcode
|
|
|
|
@param name name of the argument
|
|
@param space_delete remove spaces from the left and right of the string
|
|
@tparam T the argument will be converted to this type if possible
|
|
|
|
@note You can access positional arguments by their `@`-prefixed name:
|
|
@code{.cpp}
|
|
parser.get<String>("@image");
|
|
@endcode
|
|
*/
|
|
template <typename T>
|
|
T get(const String& name, bool space_delete = true) const
|
|
{
|
|
T val = T();
|
|
getByName(name, space_delete, ParamType<T>::type, (void*)&val);
|
|
return val;
|
|
}
|
|
|
|
/** @brief Access positional arguments by index
|
|
|
|
Returns argument converted to selected type. Indexes are counted from zero.
|
|
|
|
For example, define:
|
|
@code{.cpp}
|
|
String keys = "{@arg1||}{@arg2||}"
|
|
@endcode
|
|
|
|
Call:
|
|
@code{.sh}
|
|
./my-app abc qwe
|
|
@endcode
|
|
|
|
Access arguments:
|
|
@code{.cpp}
|
|
String val_1 = parser.get<String>(0); // returns "abc", arg1
|
|
String val_2 = parser.get<String>(1); // returns "qwe", arg2
|
|
@endcode
|
|
|
|
@param index index of the argument
|
|
@param space_delete remove spaces from the left and right of the string
|
|
@tparam T the argument will be converted to this type if possible
|
|
*/
|
|
template <typename T>
|
|
T get(int index, bool space_delete = true) const
|
|
{
|
|
T val = T();
|
|
getByIndex(index, space_delete, ParamType<T>::type, (void*)&val);
|
|
return val;
|
|
}
|
|
|
|
/** @brief Check if field was provided in the command line
|
|
|
|
@param name argument name to check
|
|
*/
|
|
bool has(const String& name) const;
|
|
|
|
/** @brief Check for parsing errors
|
|
|
|
Returns true if error occurred while accessing the parameters (bad conversion, missing arguments,
|
|
etc.). Call @ref printErrors to print error messages list.
|
|
*/
|
|
bool check() const;
|
|
|
|
/** @brief Set the about message
|
|
|
|
The about message will be shown when @ref printMessage is called, right before arguments table.
|
|
*/
|
|
void about(const String& message);
|
|
|
|
/** @brief Print help message
|
|
|
|
This method will print standard help message containing the about message and arguments description.
|
|
|
|
@sa about
|
|
*/
|
|
void printMessage() const;
|
|
|
|
/** @brief Print list of errors occurred
|
|
|
|
@sa check
|
|
*/
|
|
void printErrors() const;
|
|
|
|
protected:
|
|
void getByName(const String& name, bool space_delete, int type, void* dst) const;
|
|
void getByIndex(int index, bool space_delete, int type, void* dst) const;
|
|
|
|
struct Impl;
|
|
Impl* impl;
|
|
};
|
|
|
|
//! @} core_utils
|
|
|
|
//! @cond IGNORED
|
|
|
|
/////////////////////////////// AutoBuffer implementation ////////////////////////////////////////
|
|
|
|
template<typename _Tp, size_t fixed_size> inline
|
|
AutoBuffer<_Tp, fixed_size>::AutoBuffer()
|
|
{
|
|
ptr = buf;
|
|
sz = fixed_size;
|
|
}
|
|
|
|
template<typename _Tp, size_t fixed_size> inline
|
|
AutoBuffer<_Tp, fixed_size>::AutoBuffer(size_t _size)
|
|
{
|
|
ptr = buf;
|
|
sz = fixed_size;
|
|
allocate(_size);
|
|
}
|
|
|
|
template<typename _Tp, size_t fixed_size> inline
|
|
AutoBuffer<_Tp, fixed_size>::AutoBuffer(const AutoBuffer<_Tp, fixed_size>& abuf )
|
|
{
|
|
ptr = buf;
|
|
sz = fixed_size;
|
|
allocate(abuf.size());
|
|
for( size_t i = 0; i < sz; i++ )
|
|
ptr[i] = abuf.ptr[i];
|
|
}
|
|
|
|
template<typename _Tp, size_t fixed_size> inline AutoBuffer<_Tp, fixed_size>&
|
|
AutoBuffer<_Tp, fixed_size>::operator = (const AutoBuffer<_Tp, fixed_size>& abuf)
|
|
{
|
|
if( this != &abuf )
|
|
{
|
|
deallocate();
|
|
allocate(abuf.size());
|
|
for( size_t i = 0; i < sz; i++ )
|
|
ptr[i] = abuf.ptr[i];
|
|
}
|
|
return *this;
|
|
}
|
|
|
|
template<typename _Tp, size_t fixed_size> inline
|
|
AutoBuffer<_Tp, fixed_size>::~AutoBuffer()
|
|
{ deallocate(); }
|
|
|
|
template<typename _Tp, size_t fixed_size> inline void
|
|
AutoBuffer<_Tp, fixed_size>::allocate(size_t _size)
|
|
{
|
|
if(_size <= sz)
|
|
{
|
|
sz = _size;
|
|
return;
|
|
}
|
|
deallocate();
|
|
sz = _size;
|
|
if(_size > fixed_size)
|
|
{
|
|
ptr = new _Tp[_size];
|
|
}
|
|
}
|
|
|
|
template<typename _Tp, size_t fixed_size> inline void
|
|
AutoBuffer<_Tp, fixed_size>::deallocate()
|
|
{
|
|
if( ptr != buf )
|
|
{
|
|
delete[] ptr;
|
|
ptr = buf;
|
|
sz = fixed_size;
|
|
}
|
|
}
|
|
|
|
template<typename _Tp, size_t fixed_size> inline void
|
|
AutoBuffer<_Tp, fixed_size>::resize(size_t _size)
|
|
{
|
|
if(_size <= sz)
|
|
{
|
|
sz = _size;
|
|
return;
|
|
}
|
|
size_t i, prevsize = sz, minsize = MIN(prevsize, _size);
|
|
_Tp* prevptr = ptr;
|
|
|
|
ptr = _size > fixed_size ? new _Tp[_size] : buf;
|
|
sz = _size;
|
|
|
|
if( ptr != prevptr )
|
|
for( i = 0; i < minsize; i++ )
|
|
ptr[i] = prevptr[i];
|
|
for( i = prevsize; i < _size; i++ )
|
|
ptr[i] = _Tp();
|
|
|
|
if( prevptr != buf )
|
|
delete[] prevptr;
|
|
}
|
|
|
|
template<typename _Tp, size_t fixed_size> inline size_t
|
|
AutoBuffer<_Tp, fixed_size>::size() const
|
|
{ return sz; }
|
|
|
|
template<typename _Tp, size_t fixed_size> inline
|
|
AutoBuffer<_Tp, fixed_size>::operator _Tp* ()
|
|
{ return ptr; }
|
|
|
|
template<typename _Tp, size_t fixed_size> inline
|
|
AutoBuffer<_Tp, fixed_size>::operator const _Tp* () const
|
|
{ return ptr; }
|
|
|
|
template<> inline std::string CommandLineParser::get<std::string>(int index, bool space_delete) const
|
|
{
|
|
return get<String>(index, space_delete);
|
|
}
|
|
template<> inline std::string CommandLineParser::get<std::string>(const String& name, bool space_delete) const
|
|
{
|
|
return get<String>(name, space_delete);
|
|
}
|
|
|
|
//! @endcond
|
|
|
|
|
|
// Basic Node class for tree building
|
|
template<class OBJECT>
|
|
class CV_EXPORTS Node
|
|
{
|
|
public:
|
|
Node()
|
|
{
|
|
m_pParent = 0;
|
|
}
|
|
Node(OBJECT& payload) : m_payload(payload)
|
|
{
|
|
m_pParent = 0;
|
|
}
|
|
~Node()
|
|
{
|
|
removeChilds();
|
|
if (m_pParent)
|
|
{
|
|
int idx = m_pParent->findChild(this);
|
|
if (idx >= 0)
|
|
m_pParent->m_childs.erase(m_pParent->m_childs.begin() + idx);
|
|
}
|
|
}
|
|
|
|
Node<OBJECT>* findChild(OBJECT& payload) const
|
|
{
|
|
for(size_t i = 0; i < this->m_childs.size(); i++)
|
|
{
|
|
if(this->m_childs[i]->m_payload == payload)
|
|
return this->m_childs[i];
|
|
}
|
|
return NULL;
|
|
}
|
|
|
|
int findChild(Node<OBJECT> *pNode) const
|
|
{
|
|
for (size_t i = 0; i < this->m_childs.size(); i++)
|
|
{
|
|
if(this->m_childs[i] == pNode)
|
|
return (int)i;
|
|
}
|
|
return -1;
|
|
}
|
|
|
|
void addChild(Node<OBJECT> *pNode)
|
|
{
|
|
if(!pNode)
|
|
return;
|
|
|
|
CV_Assert(pNode->m_pParent == 0);
|
|
pNode->m_pParent = this;
|
|
this->m_childs.push_back(pNode);
|
|
}
|
|
|
|
void removeChilds()
|
|
{
|
|
for(size_t i = 0; i < m_childs.size(); i++)
|
|
{
|
|
m_childs[i]->m_pParent = 0; // avoid excessive parent vector trimming
|
|
delete m_childs[i];
|
|
}
|
|
m_childs.clear();
|
|
}
|
|
|
|
int getDepth()
|
|
{
|
|
int count = 0;
|
|
Node *pParent = m_pParent;
|
|
while(pParent) count++, pParent = pParent->m_pParent;
|
|
return count;
|
|
}
|
|
|
|
public:
|
|
OBJECT m_payload;
|
|
Node<OBJECT>* m_pParent;
|
|
std::vector<Node<OBJECT>*> m_childs;
|
|
};
|
|
|
|
// Instrumentation external interface
|
|
namespace instr
|
|
{
|
|
|
|
#if !defined OPENCV_ABI_CHECK
|
|
|
|
enum TYPE
|
|
{
|
|
TYPE_GENERAL = 0, // OpenCV API function, e.g. exported function
|
|
TYPE_MARKER, // Information marker
|
|
TYPE_WRAPPER, // Wrapper function for implementation
|
|
TYPE_FUN, // Simple function call
|
|
};
|
|
|
|
enum IMPL
|
|
{
|
|
IMPL_PLAIN = 0,
|
|
IMPL_IPP,
|
|
IMPL_OPENCL,
|
|
};
|
|
|
|
struct NodeDataTls
|
|
{
|
|
NodeDataTls()
|
|
{
|
|
m_ticksTotal = 0;
|
|
}
|
|
uint64 m_ticksTotal;
|
|
};
|
|
|
|
class CV_EXPORTS NodeData
|
|
{
|
|
public:
|
|
NodeData(const char* funName = 0, const char* fileName = NULL, int lineNum = 0, void* retAddress = NULL, bool alwaysExpand = false, cv::instr::TYPE instrType = TYPE_GENERAL, cv::instr::IMPL implType = IMPL_PLAIN);
|
|
NodeData(NodeData &ref);
|
|
~NodeData();
|
|
NodeData& operator=(const NodeData&);
|
|
|
|
cv::String m_funName;
|
|
cv::instr::TYPE m_instrType;
|
|
cv::instr::IMPL m_implType;
|
|
const char* m_fileName;
|
|
int m_lineNum;
|
|
void* m_retAddress;
|
|
bool m_alwaysExpand;
|
|
bool m_funError;
|
|
|
|
volatile int m_counter;
|
|
volatile uint64 m_ticksTotal;
|
|
TLSData<NodeDataTls> m_tls;
|
|
int m_threads;
|
|
|
|
// No synchronization
|
|
double getTotalMs() const { return ((double)m_ticksTotal / cv::getTickFrequency()) * 1000; }
|
|
double getMeanMs() const { return (((double)m_ticksTotal/m_counter) / cv::getTickFrequency()) * 1000; }
|
|
};
|
|
bool operator==(const NodeData& lhs, const NodeData& rhs);
|
|
|
|
typedef Node<NodeData> InstrNode;
|
|
|
|
CV_EXPORTS InstrNode* getTrace();
|
|
|
|
#endif // !defined OPENCV_ABI_CHECK
|
|
|
|
|
|
CV_EXPORTS bool useInstrumentation();
|
|
CV_EXPORTS void setUseInstrumentation(bool flag);
|
|
CV_EXPORTS void resetTrace();
|
|
|
|
enum FLAGS
|
|
{
|
|
FLAGS_NONE = 0,
|
|
FLAGS_MAPPING = 0x01,
|
|
FLAGS_EXPAND_SAME_NAMES = 0x02,
|
|
};
|
|
|
|
CV_EXPORTS void setFlags(FLAGS modeFlags);
|
|
static inline void setFlags(int modeFlags) { setFlags((FLAGS)modeFlags); }
|
|
CV_EXPORTS FLAGS getFlags();
|
|
}
|
|
|
|
namespace utils {
|
|
|
|
CV_EXPORTS int getThreadID();
|
|
|
|
} // namespace
|
|
|
|
} //namespace cv
|
|
|
|
#ifndef DISABLE_OPENCV_24_COMPATIBILITY
|
|
#include "opencv2/core/core_c.h"
|
|
#endif
|
|
|
|
#endif //OPENCV_CORE_UTILITY_H
|