374 lines
8.9 KiB
C++
374 lines
8.9 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) 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_DNN_DNN_INL_HPP
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#define OPENCV_DNN_DNN_INL_HPP
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#include <opencv2/dnn.hpp>
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namespace cv {
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namespace dnn {
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CV__DNN_EXPERIMENTAL_NS_BEGIN
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template<typename TypeIter>
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DictValue DictValue::arrayInt(TypeIter begin, int size)
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{
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DictValue res(Param::INT, new AutoBuffer<int64, 1>(size));
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for (int j = 0; j < size; begin++, j++)
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(*res.pi)[j] = *begin;
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return res;
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}
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template<typename TypeIter>
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DictValue DictValue::arrayReal(TypeIter begin, int size)
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{
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DictValue res(Param::REAL, new AutoBuffer<double, 1>(size));
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for (int j = 0; j < size; begin++, j++)
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(*res.pd)[j] = *begin;
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return res;
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}
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template<typename TypeIter>
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DictValue DictValue::arrayString(TypeIter begin, int size)
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{
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DictValue res(Param::STRING, new AutoBuffer<String, 1>(size));
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for (int j = 0; j < size; begin++, j++)
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(*res.ps)[j] = *begin;
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return res;
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}
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template<>
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inline DictValue DictValue::get<DictValue>(int idx) const
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{
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CV_Assert(idx == -1);
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return *this;
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}
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template<>
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inline int64 DictValue::get<int64>(int idx) const
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{
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CV_Assert((idx == -1 && size() == 1) || (idx >= 0 && idx < size()));
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idx = (idx == -1) ? 0 : idx;
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if (type == Param::INT)
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{
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return (*pi)[idx];
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}
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else if (type == Param::REAL)
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{
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double doubleValue = (*pd)[idx];
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double fracpart, intpart;
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fracpart = std::modf(doubleValue, &intpart);
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CV_Assert(fracpart == 0.0);
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return (int64)doubleValue;
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}
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else
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{
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CV_Assert(isInt() || isReal());
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return 0;
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}
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}
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template<>
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inline int DictValue::get<int>(int idx) const
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{
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return (int)get<int64>(idx);
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}
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inline int DictValue::getIntValue(int idx) const
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{
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return (int)get<int64>(idx);
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}
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template<>
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inline unsigned DictValue::get<unsigned>(int idx) const
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{
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return (unsigned)get<int64>(idx);
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}
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template<>
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inline bool DictValue::get<bool>(int idx) const
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{
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return (get<int64>(idx) != 0);
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}
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template<>
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inline double DictValue::get<double>(int idx) const
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{
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CV_Assert((idx == -1 && size() == 1) || (idx >= 0 && idx < size()));
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idx = (idx == -1) ? 0 : idx;
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if (type == Param::REAL)
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{
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return (*pd)[idx];
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}
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else if (type == Param::INT)
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{
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return (double)(*pi)[idx];
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}
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else
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{
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CV_Assert(isReal() || isInt());
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return 0;
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}
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}
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inline double DictValue::getRealValue(int idx) const
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{
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return get<double>(idx);
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}
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template<>
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inline float DictValue::get<float>(int idx) const
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{
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return (float)get<double>(idx);
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}
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template<>
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inline String DictValue::get<String>(int idx) const
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{
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CV_Assert(isString());
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CV_Assert((idx == -1 && ps->size() == 1) || (idx >= 0 && idx < (int)ps->size()));
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return (*ps)[(idx == -1) ? 0 : idx];
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}
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inline String DictValue::getStringValue(int idx) const
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{
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return get<String>(idx);
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}
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inline void DictValue::release()
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{
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switch (type)
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{
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case Param::INT:
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delete pi;
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break;
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case Param::STRING:
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delete ps;
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break;
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case Param::REAL:
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delete pd;
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break;
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}
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}
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inline DictValue::~DictValue()
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{
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release();
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}
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inline DictValue & DictValue::operator=(const DictValue &r)
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{
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if (&r == this)
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return *this;
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if (r.type == Param::INT)
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{
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AutoBuffer<int64, 1> *tmp = new AutoBuffer<int64, 1>(*r.pi);
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release();
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pi = tmp;
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}
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else if (r.type == Param::STRING)
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{
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AutoBuffer<String, 1> *tmp = new AutoBuffer<String, 1>(*r.ps);
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release();
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ps = tmp;
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}
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else if (r.type == Param::REAL)
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{
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AutoBuffer<double, 1> *tmp = new AutoBuffer<double, 1>(*r.pd);
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release();
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pd = tmp;
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}
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type = r.type;
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return *this;
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}
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inline DictValue::DictValue(const DictValue &r)
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{
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type = r.type;
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if (r.type == Param::INT)
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pi = new AutoBuffer<int64, 1>(*r.pi);
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else if (r.type == Param::STRING)
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ps = new AutoBuffer<String, 1>(*r.ps);
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else if (r.type == Param::REAL)
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pd = new AutoBuffer<double, 1>(*r.pd);
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}
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inline bool DictValue::isString() const
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{
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return (type == Param::STRING);
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}
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inline bool DictValue::isInt() const
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{
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return (type == Param::INT);
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}
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inline bool DictValue::isReal() const
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{
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return (type == Param::REAL || type == Param::INT);
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}
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inline int DictValue::size() const
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{
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switch (type)
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{
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case Param::INT:
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return (int)pi->size();
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break;
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case Param::STRING:
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return (int)ps->size();
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break;
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case Param::REAL:
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return (int)pd->size();
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break;
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default:
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CV_Error(Error::StsInternal, "");
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return -1;
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}
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}
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inline std::ostream &operator<<(std::ostream &stream, const DictValue &dictv)
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{
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int i;
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if (dictv.isInt())
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{
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for (i = 0; i < dictv.size() - 1; i++)
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stream << dictv.get<int64>(i) << ", ";
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stream << dictv.get<int64>(i);
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}
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else if (dictv.isReal())
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{
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for (i = 0; i < dictv.size() - 1; i++)
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stream << dictv.get<double>(i) << ", ";
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stream << dictv.get<double>(i);
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}
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else if (dictv.isString())
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{
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for (i = 0; i < dictv.size() - 1; i++)
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stream << "\"" << dictv.get<String>(i) << "\", ";
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stream << dictv.get<String>(i);
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}
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return stream;
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}
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/////////////////////////////////////////////////////////////////
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inline bool Dict::has(const String &key) const
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{
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return dict.count(key) != 0;
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}
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inline DictValue *Dict::ptr(const String &key)
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{
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_Dict::iterator i = dict.find(key);
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return (i == dict.end()) ? NULL : &i->second;
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}
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inline const DictValue *Dict::ptr(const String &key) const
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{
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_Dict::const_iterator i = dict.find(key);
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return (i == dict.end()) ? NULL : &i->second;
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}
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inline const DictValue &Dict::get(const String &key) const
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{
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_Dict::const_iterator i = dict.find(key);
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if (i == dict.end())
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CV_Error(Error::StsObjectNotFound, "Required argument \"" + key + "\" not found into dictionary");
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return i->second;
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}
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template <typename T>
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inline T Dict::get(const String &key) const
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{
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return this->get(key).get<T>();
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}
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template <typename T>
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inline T Dict::get(const String &key, const T &defaultValue) const
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{
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_Dict::const_iterator i = dict.find(key);
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if (i != dict.end())
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return i->second.get<T>();
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else
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return defaultValue;
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}
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template<typename T>
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inline const T &Dict::set(const String &key, const T &value)
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{
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_Dict::iterator i = dict.find(key);
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if (i != dict.end())
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i->second = DictValue(value);
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else
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dict.insert(std::make_pair(key, DictValue(value)));
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return value;
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}
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inline std::ostream &operator<<(std::ostream &stream, const Dict &dict)
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{
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Dict::_Dict::const_iterator it;
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for (it = dict.dict.begin(); it != dict.dict.end(); it++)
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stream << it->first << " : " << it->second << "\n";
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return stream;
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}
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CV__DNN_EXPERIMENTAL_NS_END
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}
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}
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#endif
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