openCV library for Renesas RZ/A
Dependents: RZ_A2M_Mbed_samples
Diff: include/opencv2/core/utility.hpp
- Revision:
- 0:0e0631af0305
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/include/opencv2/core/utility.hpp Fri Jan 29 04:53:38 2021 +0000
@@ -0,0 +1,1171 @@
+/*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.
+// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
+// Copyright (C) 2015, Itseez 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 materials 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 implied warranties, including, but not limited to, the implied
+// 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*/
+
+#ifndef OPENCV_CORE_UTILITY_H
+#define OPENCV_CORE_UTILITY_H
+
+#ifndef __cplusplus
+# error utility.hpp header must be compiled as C++
+#endif
+
+#if defined(check)
+# warning Detected Apple 'check' macro definition, it can cause build conflicts. Please, include this header before any Apple headers.
+#endif
+
+#include "opencv2/core.hpp"
+
+namespace cv
+{
+
+#ifdef CV_COLLECT_IMPL_DATA
+CV_EXPORTS void setImpl(int flags); // set implementation flags and reset storage arrays
+CV_EXPORTS void addImpl(int flag, const char* func = 0); // add implementation and function name to storage arrays
+// Get stored implementation flags and fucntions names arrays
+// Each implementation entry correspond to function name entry, so you can find which implementation was executed in which fucntion
+CV_EXPORTS int getImpl(std::vector<int> &impl, std::vector<String> &funName);
+
+CV_EXPORTS bool useCollection(); // return implementation collection state
+CV_EXPORTS void setUseCollection(bool flag); // set implementation collection state
+
+#define CV_IMPL_PLAIN 0x01 // native CPU OpenCV implementation
+#define CV_IMPL_OCL 0x02 // OpenCL implementation
+#define CV_IMPL_IPP 0x04 // IPP implementation
+#define CV_IMPL_MT 0x10 // multithreaded implementation
+
+#define CV_IMPL_ADD(impl) \
+ if(cv::useCollection()) \
+ { \
+ cv::addImpl(impl, CV_Func); \
+ }
+#else
+#define CV_IMPL_ADD(impl)
+#endif
+
+//! @addtogroup core_utils
+//! @{
+
+/** @brief Automatically Allocated Buffer Class
+
+ The class is used for temporary buffers in functions and methods.
+ If a temporary buffer is usually small (a few K's of memory),
+ but its size depends on the parameters, it makes sense to create a small
+ fixed-size array on stack and use it if it's large enough. If the required buffer size
+ is larger than the fixed size, another buffer of sufficient size is allocated dynamically
+ and released after the processing. Therefore, in typical cases, when the buffer size is small,
+ there is no overhead associated with malloc()/free().
+ At the same time, there is no limit on the size of processed data.
+
+ This is what AutoBuffer does. The template takes 2 parameters - type of the buffer elements and
+ the number of stack-allocated elements. Here is how the class is used:
+
+ \code
+ void my_func(const cv::Mat& m)
+ {
+ cv::AutoBuffer<float> buf; // create automatic buffer containing 1000 floats
+
+ buf.allocate(m.rows); // if m.rows <= 1000, the pre-allocated buffer is used,
+ // otherwise the buffer of "m.rows" floats will be allocated
+ // dynamically and deallocated in cv::AutoBuffer destructor
+ ...
+ }
+ \endcode
+*/
+template<typename _Tp, size_t fixed_size = 1024/sizeof(_Tp)+8> class AutoBuffer
+{
+public:
+ typedef _Tp value_type;
+
+ //! the default constructor
+ AutoBuffer();
+ //! constructor taking the real buffer size
+ AutoBuffer(size_t _size);
+
+ //! the copy constructor
+ AutoBuffer(const AutoBuffer<_Tp, fixed_size>& buf);
+ //! the assignment operator
+ AutoBuffer<_Tp, fixed_size>& operator = (const AutoBuffer<_Tp, fixed_size>& buf);
+
+ //! destructor. calls deallocate()
+ ~AutoBuffer();
+
+ //! allocates the new buffer of size _size. if the _size is small enough, stack-allocated buffer is used
+ void allocate(size_t _size);
+ //! deallocates the buffer if it was dynamically allocated
+ void deallocate();
+ //! resizes the buffer and preserves the content
+ void resize(size_t _size);
+ //! returns the current buffer size
+ size_t size() const;
+ //! returns pointer to the real buffer, stack-allocated or head-allocated
+ operator _Tp* ();
+ //! returns read-only pointer to the real buffer, stack-allocated or head-allocated
+ operator const _Tp* () const;
+
+protected:
+ //! pointer to the real buffer, can point to buf if the buffer is small enough
+ _Tp* ptr;
+ //! size of the real buffer
+ size_t sz;
+ //! pre-allocated buffer. At least 1 element to confirm C++ standard reqirements
+ _Tp buf[(fixed_size > 0) ? fixed_size : 1];
+};
+
+/** @brief Sets/resets the break-on-error mode.
+
+When the break-on-error mode is set, the default error handler issues a hardware exception, which
+can make debugging more convenient.
+
+\return the previous state
+ */
+CV_EXPORTS bool setBreakOnError(bool flag);
+
+extern "C" typedef int (*ErrorCallback)( int status, const char* func_name,
+ const char* err_msg, const char* file_name,
+ int line, void* userdata );
+
+
+/** @brief Sets the new error handler and the optional user data.
+
+ The function sets the new error handler, called from cv::error().
+
+ \param errCallback the new error handler. If NULL, the default error handler is used.
+ \param userdata the optional user data pointer, passed to the callback.
+ \param prevUserdata the optional output parameter where the previous user data pointer is stored
+
+ \return the previous error handler
+*/
+CV_EXPORTS ErrorCallback redirectError( ErrorCallback errCallback, void* userdata=0, void** prevUserdata=0);
+
+/** @brief Returns a text string formatted using the printf-like expression.
+
+The function acts like sprintf but forms and returns an STL string. It can be used to form an error
+message in the Exception constructor.
+@param fmt printf-compatible formatting specifiers.
+ */
+CV_EXPORTS String format( const char* fmt, ... );
+CV_EXPORTS String tempfile( const char* suffix = 0);
+CV_EXPORTS void glob(String pattern, std::vector<String>& result, bool recursive = false);
+
+/** @brief OpenCV will try to set the number of threads for the next parallel region.
+
+If threads == 0, OpenCV will disable threading optimizations and run all it's functions
+sequentially. Passing threads \< 0 will reset threads number to system default. This function must
+be called outside of parallel region.
+
+OpenCV will try to run it's functions with specified threads number, but some behaviour differs from
+framework:
+- `TBB` – User-defined parallel constructions will run with the same threads number, if
+ another does not specified. If late on user creates own scheduler, OpenCV will be use it.
+- `OpenMP` – No special defined behaviour.
+- `Concurrency` – If threads == 1, OpenCV will disable threading optimizations and run it's
+ functions sequentially.
+- `GCD` – Supports only values \<= 0.
+- `C=` – No special defined behaviour.
+@param nthreads Number of threads used by OpenCV.
+@sa getNumThreads, getThreadNum
+ */
+CV_EXPORTS_W void setNumThreads(int nthreads);
+
+/** @brief Returns the number of threads used by OpenCV for parallel regions.
+
+Always returns 1 if OpenCV is built without threading support.
+
+The exact meaning of return value depends on the threading framework used by OpenCV library:
+- `TBB` – The number of threads, that OpenCV will try to use for parallel regions. If there is
+ any tbb::thread_scheduler_init in user code conflicting with OpenCV, then function returns
+ default number of threads used by TBB library.
+- `OpenMP` – An upper bound on the number of threads that could be used to form a new team.
+- `Concurrency` – The number of threads, that OpenCV will try to use for parallel regions.
+- `GCD` – Unsupported; returns the GCD thread pool limit (512) for compatibility.
+- `C=` – The number of threads, that OpenCV will try to use for parallel regions, if before
+ called setNumThreads with threads \> 0, otherwise returns the number of logical CPUs,
+ available for the process.
+@sa setNumThreads, getThreadNum
+ */
+CV_EXPORTS_W int getNumThreads();
+
+/** @brief Returns the index of the currently executed thread within the current parallel region. Always
+returns 0 if called outside of parallel region.
+
+The exact meaning of return value depends on the threading framework used by OpenCV library:
+- `TBB` – Unsupported with current 4.1 TBB release. May be will be supported in future.
+- `OpenMP` – The thread number, within the current team, of the calling thread.
+- `Concurrency` – An ID for the virtual processor that the current context is executing on (0
+ for master thread and unique number for others, but not necessary 1,2,3,...).
+- `GCD` – System calling thread's ID. Never returns 0 inside parallel region.
+- `C=` – The index of the current parallel task.
+@sa setNumThreads, getNumThreads
+ */
+CV_EXPORTS_W int getThreadNum();
+
+/** @brief Returns full configuration time cmake output.
+
+Returned value is raw cmake output including version control system revision, compiler version,
+compiler flags, enabled modules and third party libraries, etc. Output format depends on target
+architecture.
+ */
+CV_EXPORTS_W const String& getBuildInformation();
+
+/** @brief Returns the number of ticks.
+
+The function returns the number of ticks after the certain event (for example, when the machine was
+turned on). It can be used to initialize RNG or to measure a function execution time by reading the
+tick count before and after the function call.
+@sa getTickFrequency, TickMeter
+ */
+CV_EXPORTS_W int64 getTickCount();
+
+/** @brief Returns the number of ticks per second.
+
+The function returns the number of ticks per second. That is, the following code computes the
+execution time in seconds:
+@code
+ double t = (double)getTickCount();
+ // do something ...
+ t = ((double)getTickCount() - t)/getTickFrequency();
+@endcode
+@sa getTickCount, TickMeter
+ */
+CV_EXPORTS_W double getTickFrequency();
+
+/** @brief a Class to measure passing time.
+
+The class computes passing time by counting the number of ticks per second. That is, the following code computes the
+execution time in seconds:
+@code
+TickMeter tm;
+tm.start();
+// do something ...
+tm.stop();
+std::cout << tm.getTimeSec();
+@endcode
+@sa getTickCount, getTickFrequency
+*/
+
+class CV_EXPORTS_W TickMeter
+{
+public:
+ //! the default constructor
+ CV_WRAP TickMeter()
+ {
+ reset();
+ }
+
+ /**
+ starts counting ticks.
+ */
+ CV_WRAP void start()
+ {
+ startTime = cv::getTickCount();
+ }
+
+ /**
+ stops counting ticks.
+ */
+ CV_WRAP void stop()
+ {
+ int64 time = cv::getTickCount();
+ if (startTime == 0)
+ return;
+ ++counter;
+ sumTime += (time - startTime);
+ startTime = 0;
+ }
+
+ /**
+ returns counted ticks.
+ */
+ CV_WRAP int64 getTimeTicks() const
+ {
+ return sumTime;
+ }
+
+ /**
+ returns passed time in microseconds.
+ */
+ CV_WRAP double getTimeMicro() const
+ {
+ return getTimeMilli()*1e3;
+ }
+
+ /**
+ returns passed time in milliseconds.
+ */
+ CV_WRAP double getTimeMilli() const
+ {
+ return getTimeSec()*1e3;
+ }
+
+ /**
+ returns passed time in seconds.
+ */
+ CV_WRAP double getTimeSec() const
+ {
+ return (double)getTimeTicks() / getTickFrequency();
+ }
+
+ /**
+ returns internal counter value.
+ */
+ CV_WRAP int64 getCounter() const
+ {
+ return counter;
+ }
+
+ /**
+ resets internal values.
+ */
+ CV_WRAP void reset()
+ {
+ startTime = 0;
+ sumTime = 0;
+ counter = 0;
+ }
+
+private:
+ int64 counter;
+ int64 sumTime;
+ int64 startTime;
+};
+
+/** @brief output operator
+@code
+TickMeter tm;
+tm.start();
+// do something ...
+tm.stop();
+std::cout << tm;
+@endcode
+*/
+
+static inline
+std::ostream& operator << (std::ostream& out, const TickMeter& tm)
+{
+ return out << tm.getTimeSec() << "sec";
+}
+
+/** @brief Returns the number of CPU ticks.
+
+The function returns the current number of CPU ticks on some architectures (such as x86, x64,
+PowerPC). On other platforms the function is equivalent to getTickCount. It can also be used for
+very accurate time measurements, as well as for RNG initialization. Note that in case of multi-CPU
+systems a thread, from which getCPUTickCount is called, can be suspended and resumed at another CPU
+with its own counter. So, theoretically (and practically) the subsequent calls to the function do
+not necessary return the monotonously increasing values. Also, since a modern CPU varies the CPU
+frequency depending on the load, the number of CPU clocks spent in some code cannot be directly
+converted to time units. Therefore, getTickCount is generally a preferable solution for measuring
+execution time.
+ */
+CV_EXPORTS_W int64 getCPUTickCount();
+
+/** @brief Returns true if the specified feature is supported by the host hardware.
+
+The function returns true if the host hardware supports the specified feature. When user calls
+setUseOptimized(false), the subsequent calls to checkHardwareSupport() will return false until
+setUseOptimized(true) is called. This way user can dynamically switch on and off the optimized code
+in OpenCV.
+@param feature The feature of interest, one of cv::CpuFeatures
+ */
+CV_EXPORTS_W bool checkHardwareSupport(int feature);
+
+/** @brief Returns the number of logical CPUs available for the process.
+ */
+CV_EXPORTS_W int getNumberOfCPUs();
+
+
+/** @brief Aligns a pointer to the specified number of bytes.
+
+The function returns the aligned pointer of the same type as the input pointer:
+\f[\texttt{(_Tp*)(((size_t)ptr + n-1) & -n)}\f]
+@param ptr Aligned pointer.
+@param n Alignment size that must be a power of two.
+ */
+template<typename _Tp> static inline _Tp* alignPtr(_Tp* ptr, int n=(int)sizeof(_Tp))
+{
+ return (_Tp*)(((size_t)ptr + n-1) & -n);
+}
+
+/** @brief Aligns a buffer size to the specified number of bytes.
+
+The function returns the minimum number that is greater or equal to sz and is divisible by n :
+\f[\texttt{(sz + n-1) & -n}\f]
+@param sz Buffer size to align.
+@param n Alignment size that must be a power of two.
+ */
+static inline size_t alignSize(size_t sz, int n)
+{
+ CV_DbgAssert((n & (n - 1)) == 0); // n is a power of 2
+ return (sz + n-1) & -n;
+}
+
+/** @brief Enables or disables the optimized code.
+
+The function can be used to dynamically turn on and off optimized code (code that uses SSE2, AVX,
+and other instructions on the platforms that support it). It sets a global flag that is further
+checked by OpenCV functions. Since the flag is not checked in the inner OpenCV loops, it is only
+safe to call the function on the very top level in your application where you can be sure that no
+other OpenCV function is currently executed.
+
+By default, the optimized code is enabled unless you disable it in CMake. The current status can be
+retrieved using useOptimized.
+@param onoff The boolean flag specifying whether the optimized code should be used (onoff=true)
+or not (onoff=false).
+ */
+CV_EXPORTS_W void setUseOptimized(bool onoff);
+
+/** @brief Returns the status of optimized code usage.
+
+The function returns true if the optimized code is enabled. Otherwise, it returns false.
+ */
+CV_EXPORTS_W bool useOptimized();
+
+static inline size_t getElemSize(int type) { return CV_ELEM_SIZE(type); }
+
+/////////////////////////////// Parallel Primitives //////////////////////////////////
+
+/** @brief Base class for parallel data processors
+*/
+class CV_EXPORTS ParallelLoopBody
+{
+public:
+ virtual ~ParallelLoopBody();
+ virtual void operator() (const Range& range) const = 0;
+};
+
+/** @brief Parallel data processor
+*/
+CV_EXPORTS void parallel_for_(const Range& range, const ParallelLoopBody& body, double nstripes=-1.);
+
+/////////////////////////////// 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 fail in this line.
+ // Please check that your functor signature is
+ // (_Tp&, const int*) <- multidimential
+ // or (_Tp&, void*) <- in case of 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(COLS); /// 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_;
+};
+
+// 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 assosiated 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);
+ }
+
+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 curley 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 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 occured 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 occured
+
+ @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; }
+
+#ifndef OPENCV_NOSTL
+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);
+}
+#endif // OPENCV_NOSTL
+
+//! @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 cv
+
+#ifndef DISABLE_OPENCV_24_COMPATIBILITY
+#include "opencv2/core/core_c.h"
+#endif
+
+#endif //OPENCV_CORE_UTILITY_H