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327 lines
9.8 KiB
327 lines
9.8 KiB
9 years ago
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/*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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// 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_TRAITS_HPP__
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#define __OPENCV_CORE_TRAITS_HPP__
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#include "opencv2/core/cvdef.h"
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namespace cv
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{
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//! @addtogroup core_basic
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//! @{
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/** @brief Template "trait" class for OpenCV primitive data types.
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A primitive OpenCV data type is one of unsigned char, bool, signed char, unsigned short, signed
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short, int, float, double, or a tuple of values of one of these types, where all the values in the
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tuple have the same type. Any primitive type from the list can be defined by an identifier in the
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form CV_\<bit-depth\>{U|S|F}C(\<number_of_channels\>), for example: uchar \~ CV_8UC1, 3-element
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floating-point tuple \~ CV_32FC3, and so on. A universal OpenCV structure that is able to store a
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single instance of such a primitive data type is Vec. Multiple instances of such a type can be
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stored in a std::vector, Mat, Mat_, SparseMat, SparseMat_, or any other container that is able to
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store Vec instances.
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The DataType class is basically used to provide a description of such primitive data types without
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adding any fields or methods to the corresponding classes (and it is actually impossible to add
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anything to primitive C/C++ data types). This technique is known in C++ as class traits. It is not
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DataType itself that is used but its specialized versions, such as:
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@code
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template<> class DataType<uchar>
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{
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typedef uchar value_type;
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typedef int work_type;
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typedef uchar channel_type;
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enum { channel_type = CV_8U, channels = 1, fmt='u', type = CV_8U };
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};
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...
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template<typename _Tp> DataType<std::complex<_Tp> >
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{
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typedef std::complex<_Tp> value_type;
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typedef std::complex<_Tp> work_type;
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typedef _Tp channel_type;
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// DataDepth is another helper trait class
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enum { depth = DataDepth<_Tp>::value, channels=2,
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fmt=(channels-1)*256+DataDepth<_Tp>::fmt,
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type=CV_MAKETYPE(depth, channels) };
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};
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...
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@endcode
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The main purpose of this class is to convert compilation-time type information to an
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OpenCV-compatible data type identifier, for example:
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@code
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// allocates a 30x40 floating-point matrix
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Mat A(30, 40, DataType<float>::type);
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Mat B = Mat_<std::complex<double> >(3, 3);
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// the statement below will print 6, 2 , that is depth == CV_64F, channels == 2
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cout << B.depth() << ", " << B.channels() << endl;
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@endcode
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So, such traits are used to tell OpenCV which data type you are working with, even if such a type is
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not native to OpenCV. For example, the matrix B initialization above is compiled because OpenCV
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defines the proper specialized template class DataType\<complex\<_Tp\> \> . This mechanism is also
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useful (and used in OpenCV this way) for generic algorithms implementations.
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*/
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template<typename _Tp> class DataType
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{
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public:
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typedef _Tp value_type;
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typedef value_type work_type;
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typedef value_type channel_type;
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typedef value_type vec_type;
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enum { generic_type = 1,
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depth = -1,
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channels = 1,
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fmt = 0,
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type = CV_MAKETYPE(depth, channels)
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};
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};
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template<> class DataType<bool>
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{
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public:
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typedef bool value_type;
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typedef int work_type;
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typedef value_type channel_type;
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typedef value_type vec_type;
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enum { generic_type = 0,
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depth = CV_8U,
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channels = 1,
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fmt = (int)'u',
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type = CV_MAKETYPE(depth, channels)
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};
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};
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template<> class DataType<uchar>
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{
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public:
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typedef uchar value_type;
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typedef int work_type;
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typedef value_type channel_type;
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typedef value_type vec_type;
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enum { generic_type = 0,
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depth = CV_8U,
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channels = 1,
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fmt = (int)'u',
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type = CV_MAKETYPE(depth, channels)
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};
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};
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template<> class DataType<schar>
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{
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public:
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typedef schar value_type;
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typedef int work_type;
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typedef value_type channel_type;
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typedef value_type vec_type;
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enum { generic_type = 0,
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depth = CV_8S,
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channels = 1,
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fmt = (int)'c',
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type = CV_MAKETYPE(depth, channels)
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};
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};
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template<> class DataType<char>
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{
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public:
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typedef schar value_type;
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typedef int work_type;
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typedef value_type channel_type;
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typedef value_type vec_type;
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enum { generic_type = 0,
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depth = CV_8S,
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channels = 1,
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fmt = (int)'c',
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type = CV_MAKETYPE(depth, channels)
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};
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};
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template<> class DataType<ushort>
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{
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public:
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typedef ushort value_type;
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typedef int work_type;
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typedef value_type channel_type;
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typedef value_type vec_type;
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enum { generic_type = 0,
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depth = CV_16U,
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channels = 1,
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fmt = (int)'w',
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type = CV_MAKETYPE(depth, channels)
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};
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};
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template<> class DataType<short>
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{
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public:
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typedef short value_type;
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typedef int work_type;
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typedef value_type channel_type;
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typedef value_type vec_type;
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enum { generic_type = 0,
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depth = CV_16S,
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channels = 1,
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fmt = (int)'s',
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type = CV_MAKETYPE(depth, channels)
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};
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};
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template<> class DataType<int>
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{
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public:
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typedef int value_type;
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typedef value_type work_type;
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typedef value_type channel_type;
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typedef value_type vec_type;
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enum { generic_type = 0,
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depth = CV_32S,
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channels = 1,
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fmt = (int)'i',
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type = CV_MAKETYPE(depth, channels)
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};
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};
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template<> class DataType<float>
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{
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public:
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typedef float value_type;
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typedef value_type work_type;
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typedef value_type channel_type;
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typedef value_type vec_type;
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enum { generic_type = 0,
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depth = CV_32F,
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channels = 1,
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fmt = (int)'f',
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type = CV_MAKETYPE(depth, channels)
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};
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};
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template<> class DataType<double>
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{
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public:
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typedef double value_type;
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typedef value_type work_type;
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typedef value_type channel_type;
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typedef value_type vec_type;
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enum { generic_type = 0,
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depth = CV_64F,
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channels = 1,
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fmt = (int)'d',
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type = CV_MAKETYPE(depth, channels)
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};
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};
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/** @brief A helper class for cv::DataType
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The class is specialized for each fundamental numerical data type supported by OpenCV. It provides
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DataDepth<T>::value constant.
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*/
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template<typename _Tp> class DataDepth
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{
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public:
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enum
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{
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value = DataType<_Tp>::depth,
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fmt = DataType<_Tp>::fmt
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};
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};
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template<int _depth> class TypeDepth
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{
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enum { depth = CV_USRTYPE1 };
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typedef void value_type;
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};
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template<> class TypeDepth<CV_8U>
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{
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enum { depth = CV_8U };
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typedef uchar value_type;
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};
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template<> class TypeDepth<CV_8S>
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{
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enum { depth = CV_8S };
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typedef schar value_type;
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};
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template<> class TypeDepth<CV_16U>
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{
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enum { depth = CV_16U };
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typedef ushort value_type;
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};
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template<> class TypeDepth<CV_16S>
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{
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enum { depth = CV_16S };
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typedef short value_type;
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};
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template<> class TypeDepth<CV_32S>
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{
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enum { depth = CV_32S };
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typedef int value_type;
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};
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template<> class TypeDepth<CV_32F>
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{
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enum { depth = CV_32F };
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typedef float value_type;
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};
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template<> class TypeDepth<CV_64F>
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{
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enum { depth = CV_64F };
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typedef double value_type;
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};
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//! @}
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} // cv
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#endif // __OPENCV_CORE_TRAITS_HPP__
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