Merge pull request #1255 from alalek:move_dnn_module

modules/dnn/CMakeLists.txt

-if(WINRT)
-  ocv_module_disable(dnn)
-endif()
-
-include(${OpenCV_SOURCE_DIR}/cmake/OpenCVFindLibProtobuf.cmake)
-if(NOT Protobuf_FOUND)
-  ocv_module_disable(opencv_dnn)
-endif()
-
-set(the_description "Deep neural network module. It allows to load models from different frameworks and to make forward pass")
-
-ocv_add_module(dnn opencv_core opencv_imgproc WRAP python matlab)
-ocv_warnings_disable(CMAKE_CXX_FLAGS -Wno-shadow -Wno-parentheses -Wmaybe-uninitialized -Wsign-promo
-                                     -Wmissing-declarations -Wmissing-prototypes
-)
-ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4701 /wd4100)
-
-if(MSVC)
-  add_definitions( -D_CRT_SECURE_NO_WARNINGS=1 )
-  ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4244 /wd4267 /wd4018 /wd4355 /wd4800 /wd4251 /wd4996 /wd4146
-                                       /wd4305 /wd4127 /wd4100 /wd4512 /wd4125 /wd4389 /wd4510 /wd4610
-                                       /wd4702 /wd4456 /wd4457 /wd4065 /wd4310 /wd4661 /wd4506
-  )
-else()
-  ocv_warnings_disable(CMAKE_CXX_FLAGS -Wno-deprecated -Wmissing-prototypes -Wmissing-declarations -Wshadow
-                                       -Wunused-parameter -Wunused-local-typedefs -Wsign-compare -Wsign-promo
-                                       -Wundef -Wtautological-undefined-compare -Wignored-qualifiers -Wextra
-                                       -Wunused-function -Wunused-const-variable -Wdeprecated-declarations
-  )
-endif()
-
-if(APPLE_FRAMEWORK)
-  ocv_warnings_disable(CMAKE_CXX_FLAGS -Wshorten-64-to-32)
-endif()
-
-if(ANDROID)
-  add_definitions(-DDISABLE_POSIX_MEMALIGN -DTH_DISABLE_HEAP_TRACKING)
-endif()
-
-#supress warnings in autogenerated caffe.pb.* files
-add_definitions(-DHAVE_PROTOBUF=1)
-ocv_warnings_disable(CMAKE_CXX_FLAGS
-    -Wunused-parameter -Wundef -Wignored-qualifiers -Wno-enum-compare
-    -Wdeprecated-declarations
-    /wd4125 /wd4267 /wd4127 /wd4244 /wd4512 /wd4702
-    /wd4456 /wd4510 /wd4610 /wd4800
-    -wd858 -wd2196
-)
-
-if(PROTOBUF_UPDATE_FILES)
-  file(GLOB proto_files src/tensorflow/*.proto)
-  list(APPEND proto_files src/caffe/caffe.proto)
-  PROTOBUF_GENERATE_CPP(Protobuf_HDRS Protobuf_SRCS ${proto_files})
-else()
-  file(GLOB fw_srcs ${CMAKE_CURRENT_SOURCE_DIR}/misc/tensorflow/*.cc)
-  file(GLOB fw_hdrs ${CMAKE_CURRENT_SOURCE_DIR}/misc/tensorflow/*.h)
-  list(APPEND fw_srcs ${CMAKE_CURRENT_SOURCE_DIR}/misc/caffe/caffe.pb.cc)
-  list(APPEND fw_hdrs ${CMAKE_CURRENT_SOURCE_DIR}/misc/caffe/caffe.pb.h)
-  list(APPEND Protobuf_SRCS ${fw_srcs})
-  list(APPEND Protobuf_HDRS ${fw_hdrs})
-  list(APPEND Protobuf_INCLUDE_DIRS ${CMAKE_CURRENT_SOURCE_DIR}/misc/caffe)
-  list(APPEND Protobuf_INCLUDE_DIRS ${CMAKE_CURRENT_SOURCE_DIR}/misc/tensorflow)
-endif()
-
-ocv_source_group("Src\\protobuf" FILES ${Protobuf_SRCS} ${Protobuf_HDRS})
-ocv_module_include_directories(include ${Protobuf_INCLUDE_DIRS})
-
-ocv_glob_module_sources(${Protobuf_SRCS} ${Protobuf_HDRS} ${CBLAS_H_PROXY_PATH})
-ocv_create_module(${Protobuf_LIBRARIES} ${LAPACK_LIBRARIES})
-ocv_add_samples()
-ocv_add_accuracy_tests()
-ocv_add_perf_tests()
-
-# ----------------------------------------------------------------------------
-# Torch7 importer of blobs and models, produced by Torch.nn module
-# ----------------------------------------------------------------------------
-OCV_OPTION(${the_module}_BUILD_TORCH_IMPORTER "Build Torch model importer" ON)
-if(${the_module}_BUILD_TORCH_IMPORTER)
-    message(STATUS "Torch importer has been enabled. To run the tests you have to install Torch "
-      "('th' executable should be available) "
-      "and generate testdata using opencv_extra/testdata/dnn/generate_torch_models.py script.")
-    add_definitions(-DENABLE_TORCH_IMPORTER=1)
-    ocv_warnings_disable(CMAKE_CXX_FLAGS /wd4702 /wd4127 /wd4267) #supress warnings in original torch files
-endif()

modules/dnn/README.md

-Deep Neural Network module
-==========================
\ No newline at end of file

modules/dnn/include/opencv2/dnn.hpp

-/*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) 2013, OpenCV Foundation, 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_DNN_HPP__
-#define __OPENCV_DNN_HPP__
-
-// This is an umbrealla header to include into you project.
-// We are free to change headers layout in dnn subfolder, so please include
-// this header for future compartibility
-
-
-/** @defgroup dnn Deep Neural Network module
-  @{
-    This module contains:
-        - API for new layers creation, layers are building bricks of neural networks;
-        - set of built-in most-useful Layers;
-        - API to constuct and modify comprehensive neural networks from layers;
-        - functionality for loading serialized networks models from differnet frameworks.
-
-    Functionality of this module is designed only for forward pass computations (i. e. network testing).
-    A network training is in principle not supported.
-  @}
-*/
-#include <opencv2/dnn/dnn.hpp>
-
-#endif /* __OPENCV_DNN_HPP__ */

modules/dnn/include/opencv2/dnn/dict.hpp

-/*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) 2013, OpenCV Foundation, 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_DNN_DNN_DICT_HPP__
-#define __OPENCV_DNN_DNN_DICT_HPP__
-
-#include <opencv2/core.hpp>
-#include <map>
-#include <ostream>
-
-namespace cv
-{
-namespace dnn
-{
-//! @addtogroup dnn
-//! @{
-
-/** @brief This struct stores the scalar value (or array) of one of the following type: double, cv::String or int64.
- *  @todo Maybe int64 is useless because double type exactly stores at least 2^52 integers.
- */
-struct DictValue
-{
-    DictValue(const DictValue &r);
-    DictValue(int64 i = 0)      : type(Param::INT), pi(new AutoBuffer<int64,1>) { (*pi)[0] = i; }       //!< Constructs integer scalar
-    DictValue(int i)            : type(Param::INT), pi(new AutoBuffer<int64,1>) { (*pi)[0] = i; }       //!< Constructs integer scalar
-    DictValue(unsigned p)       : type(Param::INT), pi(new AutoBuffer<int64,1>) { (*pi)[0] = p; }       //!< Constructs integer scalar
-    DictValue(double p)         : type(Param::REAL), pd(new AutoBuffer<double,1>) { (*pd)[0] = p; }     //!< Constructs floating point scalar
-    DictValue(const String &s)  : type(Param::STRING), ps(new AutoBuffer<String,1>) { (*ps)[0] = s; }   //!< Constructs string scalar
-    DictValue(const char *s)    : type(Param::STRING), ps(new AutoBuffer<String,1>) { (*ps)[0] = s; }   //!< @overload
-
-    template<typename TypeIter>
-    static DictValue arrayInt(TypeIter begin, int size);    //!< Constructs integer array
-    template<typename TypeIter>
-    static DictValue arrayReal(TypeIter begin, int size);   //!< Constructs floating point array
-    template<typename TypeIter>
-    static DictValue arrayString(TypeIter begin, int size); //!< Constructs array of strings
-
-    template<typename T>
-    T get(int idx = -1) const; //!< Tries to convert array element with specified index to requested type and returns its.
-
-    int size() const;
-
-    bool isInt() const;
-    bool isString() const;
-    bool isReal() const;
-
-    DictValue &operator=(const DictValue &r);
-
-    friend std::ostream &operator<<(std::ostream &stream, const DictValue &dictv);
-
-    ~DictValue();
-
-private:
-
-    int type;
-
-    union
-    {
-        AutoBuffer<int64, 1> *pi;
-        AutoBuffer<double, 1> *pd;
-        AutoBuffer<String, 1> *ps;
-        void *pv;
-    };
-
-    DictValue(int _type, void *_p) : type(_type), pv(_p) {}
-    void release();
-};
-
-/** @brief This class implements name-value dictionary, values are instances of DictValue. */
-class CV_EXPORTS Dict
-{
-    typedef std::map<String, DictValue> _Dict;
-    _Dict dict;
-
-public:
-
-    //! Checks a presence of the @p key in the dictionary.
-    bool has(const String &key) const;
-
-    //! If the @p key in the dictionary then returns pointer to its value, else returns NULL.
-    DictValue *ptr(const String &key);
-
-    /** @overload */
-    const DictValue *ptr(const String &key) const;
-
-    //! If the @p key in the dictionary then returns its value, else an error will be generated.
-    const DictValue &get(const String &key) const;
-
-    /** @overload */
-    template <typename T>
-    T get(const String &key) const;
-
-    //! If the @p key in the dictionary then returns its value, else returns @p defaultValue.
-    template <typename T>
-    T get(const String &key, const T &defaultValue) const;
-
-    //! Sets new @p value for the @p key, or adds new key-value pair into the dictionary.
-    template<typename T>
-    const T &set(const String &key, const T &value);
-
-    friend std::ostream &operator<<(std::ostream &stream, const Dict &dict);
-};
-
-//! @}
-}
-}
-
-#endif

modules/dnn/include/opencv2/dnn/dnn.inl.hpp

-/*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) 2013, OpenCV Foundation, 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_DNN_DNN_INL_HPP__
-#define __OPENCV_DNN_DNN_INL_HPP__
-
-#include <opencv2/dnn.hpp>
-
-namespace cv
-{
-namespace dnn
-{
-
-template<typename TypeIter>
-DictValue DictValue::arrayInt(TypeIter begin, int size)
-{
-    DictValue res(Param::INT, new AutoBuffer<int64, 1>(size));
-    for (int j = 0; j < size; begin++, j++)
-        (*res.pi)[j] = *begin;
-    return res;
-}
-
-template<typename TypeIter>
-DictValue DictValue::arrayReal(TypeIter begin, int size)
-{
-    DictValue res(Param::REAL, new AutoBuffer<double, 1>(size));
-    for (int j = 0; j < size; begin++, j++)
-        (*res.pd)[j] = *begin;
-    return res;
-}
-
-template<typename TypeIter>
-DictValue DictValue::arrayString(TypeIter begin, int size)
-{
-    DictValue res(Param::STRING, new AutoBuffer<String, 1>(size));
-    for (int j = 0; j < size; begin++, j++)
-        (*res.ps)[j] = *begin;
-    return res;
-}
-
-template<>
-inline DictValue DictValue::get<DictValue>(int idx) const
-{
-    CV_Assert(idx == -1);
-    return *this;
-}
-
-template<>
-inline int64 DictValue::get<int64>(int idx) const
-{
-    CV_Assert((idx == -1 && size() == 1) || (idx >= 0 && idx < size()));
-    idx = (idx == -1) ? 0 : idx;
-
-    if (type == Param::INT)
-    {
-        return (*pi)[idx];
-    }
-    else if (type == Param::REAL)
-    {
-        double doubleValue = (*pd)[idx];
-
-        double fracpart, intpart;
-        fracpart = std::modf(doubleValue, &intpart);
-        CV_Assert(fracpart == 0.0);
-
-        return (int64)doubleValue;
-    }
-    else
-    {
-        CV_Assert(isInt() || isReal());
-        return 0;
-    }
-}
-
-template<>
-inline int DictValue::get<int>(int idx) const
-{
-    return (int)get<int64>(idx);
-}
-
-template<>
-inline unsigned DictValue::get<unsigned>(int idx) const
-{
-    return (unsigned)get<int64>(idx);
-}
-
-template<>
-inline bool DictValue::get<bool>(int idx) const
-{
-    return (get<int64>(idx) != 0);
-}
-
-template<>
-inline double DictValue::get<double>(int idx) const
-{
-    CV_Assert((idx == -1 && size() == 1) || (idx >= 0 && idx < size()));
-    idx = (idx == -1) ? 0 : idx;
-
-    if (type == Param::REAL)
-    {
-        return (*pd)[idx];
-    }
-    else if (type == Param::INT)
-    {
-        return (double)(*pi)[idx];
-    }
-    else
-    {
-        CV_Assert(isReal() || isInt());
-        return 0;
-    }
-}
-
-template<>
-inline float DictValue::get<float>(int idx) const
-{
-    return (float)get<double>(idx);
-}
-
-template<>
-inline String DictValue::get<String>(int idx) const
-{
-    CV_Assert(isString());
-    CV_Assert((idx == -1 && ps->size() == 1) || (idx >= 0 && idx < (int)ps->size()));
-    return (*ps)[(idx == -1) ? 0 : idx];
-}
-
-inline void DictValue::release()
-{
-    switch (type)
-    {
-    case Param::INT:
-        delete pi;
-        break;
-    case Param::STRING:
-        delete ps;
-        break;
-    case Param::REAL:
-        delete pd;
-        break;
-    }
-}
-
-inline DictValue::~DictValue()
-{
-    release();
-}
-
-inline DictValue & DictValue::operator=(const DictValue &r)
-{
-    if (&r == this)
-        return *this;
-
-    if (r.type == Param::INT)
-    {
-        AutoBuffer<int64, 1> *tmp = new AutoBuffer<int64, 1>(*r.pi);
-        release();
-        pi = tmp;
-    }
-    else if (r.type == Param::STRING)
-    {
-        AutoBuffer<String, 1> *tmp = new AutoBuffer<String, 1>(*r.ps);
-        release();
-        ps = tmp;
-    }
-    else if (r.type == Param::REAL)
-    {
-        AutoBuffer<double, 1> *tmp = new AutoBuffer<double, 1>(*r.pd);
-        release();
-        pd = tmp;
-    }
-
-    type = r.type;
-
-    return *this;
-}
-
-inline DictValue::DictValue(const DictValue &r)
-{
-    type = r.type;
-
-    if (r.type == Param::INT)
-        pi = new AutoBuffer<int64, 1>(*r.pi);
-    else if (r.type == Param::STRING)
-        ps = new AutoBuffer<String, 1>(*r.ps);
-    else if (r.type == Param::REAL)
-        pd = new AutoBuffer<double, 1>(*r.pd);
-}
-
-inline bool DictValue::isString() const
-{
-    return (type == Param::STRING);
-}
-
-inline bool DictValue::isInt() const
-{
-    return (type == Param::INT);
-}
-
-inline bool DictValue::isReal() const
-{
-    return (type == Param::REAL || type == Param::INT);
-}
-
-inline int DictValue::size() const
-{
-    switch (type)
-    {
-    case Param::INT:
-        return (int)pi->size();
-        break;
-    case Param::STRING:
-        return (int)ps->size();
-        break;
-    case Param::REAL:
-        return (int)pd->size();
-        break;
-    default:
-        CV_Error(Error::StsInternal, "");
-        return -1;
-    }
-}
-
-inline std::ostream &operator<<(std::ostream &stream, const DictValue &dictv)
-{
-    int i;
-
-    if (dictv.isInt())
-    {
-        for (i = 0; i < dictv.size() - 1; i++)
-            stream << dictv.get<int64>(i) << ", ";
-        stream << dictv.get<int64>(i);
-    }
-    else if (dictv.isReal())
-    {
-        for (i = 0; i < dictv.size() - 1; i++)
-            stream << dictv.get<double>(i) << ", ";
-        stream << dictv.get<double>(i);
-    }
-    else if (dictv.isString())
-    {
-        for (i = 0; i < dictv.size() - 1; i++)
-            stream << "\"" << dictv.get<String>(i) << "\", ";
-        stream << dictv.get<String>(i);
-    }
-
-    return stream;
-}
-
-/////////////////////////////////////////////////////////////////
-
-inline bool Dict::has(const String &key) const
-{
-    return dict.count(key) != 0;
-}
-
-inline DictValue *Dict::ptr(const String &key)
-{
-    _Dict::iterator i = dict.find(key);
-    return (i == dict.end()) ? NULL : &i->second;
-}
-
-inline const DictValue *Dict::ptr(const String &key) const
-{
-    _Dict::const_iterator i = dict.find(key);
-    return (i == dict.end()) ? NULL : &i->second;
-}
-
-inline const DictValue &Dict::get(const String &key) const
-{
-    _Dict::const_iterator i = dict.find(key);
-    if (i == dict.end())
-        CV_Error(Error::StsObjectNotFound, "Required argument \"" + key + "\" not found into dictionary");
-    return i->second;
-}
-
-template <typename T>
-inline T Dict::get(const String &key) const
-{
-    return this->get(key).get<T>();
-}
-
-template <typename T>
-inline T Dict::get(const String &key, const T &defaultValue) const
-{
-    _Dict::const_iterator i = dict.find(key);
-
-    if (i != dict.end())
-        return i->second.get<T>();
-    else
-        return defaultValue;
-}
-
-template<typename T>
-inline const T &Dict::set(const String &key, const T &value)
-{
-    _Dict::iterator i = dict.find(key);
-
-    if (i != dict.end())
-        i->second = DictValue(value);
-    else
-        dict.insert(std::make_pair(key, DictValue(value)));
-
-    return value;
-}
-
-inline std::ostream &operator<<(std::ostream &stream, const Dict &dict)
-{
-    Dict::_Dict::const_iterator it;
-    for (it = dict.dict.begin(); it != dict.dict.end(); it++)
-        stream << it->first << " : " << it->second << "\n";
-
-    return stream;
-}
-
-}
-}
-
-#endif

modules/dnn/include/opencv2/dnn/layer.hpp

-/*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) 2013, OpenCV Foundation, 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_DNN_LAYER_HPP__
-#define __OPENCV_DNN_LAYER_HPP__
-#include <opencv2/dnn.hpp>
-
-namespace cv
-{
-namespace dnn
-{
-//! @addtogroup dnn
-//! @{
-//!
-//! @defgroup dnnLayerFactory Utilities for New Layers Registration
-//! @{
-
-/** @brief %Layer factory allows to create instances of registered layers. */
-class CV_EXPORTS LayerFactory
-{
-public:
-
-    //! Each Layer class must provide this function to the factory
-    typedef Ptr<Layer>(*Constuctor)(LayerParams &params);
-
-    //! Registers the layer class with typename @p type and specified @p constructor.
-    static void registerLayer(const String &type, Constuctor constructor);
-
-    //! Unregisters registered layer with specified type name.
-    static void unregisterLayer(const String &type);
-
-    /** @brief Creates instance of registered layer.
-     *  @param type type name of creating layer.
-     *  @param params parameters which will be used for layer initialization.
-     */
-    static Ptr<Layer> createLayerInstance(const String &type, LayerParams& params);
-
-private:
-    LayerFactory();
-
-    struct Impl;
-    static Ptr<Impl> impl();
-};
-
-/** @brief Registers layer constructor in runtime.
-*   @param type string, containing type name of the layer.
-*   @param constuctorFunc pointer to the function of type LayerRegister::Constuctor, which creates the layer.
-*   @details This macros must be placed inside the function code.
-*/
-#define REG_RUNTIME_LAYER_FUNC(type, constuctorFunc) \
-    cv::dnn::LayerFactory::registerLayer(#type, constuctorFunc);
-
-/** @brief Registers layer class in runtime.
- *  @param type string, containing type name of the layer.
- *  @param class C++ class, derived from Layer.
- *  @details This macros must be placed inside the function code.
- */
-#define REG_RUNTIME_LAYER_CLASS(type, class) \
-    cv::dnn::LayerFactory::registerLayer(#type, _layerDynamicRegisterer<class>);
-
-/** @brief Registers layer constructor on module load time.
-*   @param type string, containing type name of the layer.
-*   @param constuctorFunc pointer to the function of type LayerRegister::Constuctor, which creates the layer.
-*   @details This macros must be placed outside the function code.
-*/
-#define REG_STATIC_LAYER_FUNC(type, constuctorFunc) \
-static cv::dnn::_LayerStaticRegisterer __LayerStaticRegisterer_##type(#type, constuctorFunc);
-
-/** @brief Registers layer class on module load time.
- *  @param type string, containing type name of the layer.
- *  @param class C++ class, derived from Layer.
- *  @details This macros must be placed outside the function code.
- */
-#define REG_STATIC_LAYER_CLASS(type, class)                         \
-Ptr<Layer> __LayerStaticRegisterer_func_##type(LayerParams &params) \
-    { return Ptr<Layer>(new class(params)); }                       \
-static _LayerStaticRegisterer __LayerStaticRegisterer_##type(#type, __LayerStaticRegisterer_func_##type);
-
-
-//! @}
-//! @}
-
-
-template<typename LayerClass>
-Ptr<Layer> _layerDynamicRegisterer(LayerParams &params)
-{
-    return Ptr<Layer>(LayerClass::create(params));
-}
-
-//allows automatically register created layer on module load time
-class _LayerStaticRegisterer
-{
-    String type;
-public:
-
-    _LayerStaticRegisterer(const String &layerType, LayerFactory::Constuctor layerConstuctor)
-    {
-        this->type = layerType;
-        LayerFactory::registerLayer(layerType, layerConstuctor);
-    }
-
-    ~_LayerStaticRegisterer()
-    {
-        LayerFactory::unregisterLayer(type);
-    }
-};
-
-}
-}
-#endif

modules/dnn/include/opencv2/dnn/shape_utils.hpp

-/*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) 2013, OpenCV Foundation, 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_DNN_DNN_SHAPE_UTILS_HPP__
-#define __OPENCV_DNN_DNN_SHAPE_UTILS_HPP__
-
-#include <opencv2/core.hpp>
-#include <opencv2/core/types_c.h>
-#include <ostream>
-
-namespace cv {
-namespace dnn {
-
-//Useful shortcut
-inline std::ostream &operator<< (std::ostream &s, cv::Range &r)
-{
-    return s << "[" << r.start << ", " << r.end << ")";
-}
-
-//Slicing
-
-struct _Range : public cv::Range
-{
-    _Range(const Range &r) : cv::Range(r) {}
-    _Range(int start, int size = 1) : cv::Range(start, start + size) {}
-};
-
-static inline Mat slice(const Mat &m, const _Range &r0)
-{
-    Range ranges[CV_MAX_DIM];
-    for (int i = 1; i < m.dims; i++)
-        ranges[i] = Range::all();
-    ranges[0] = r0;
-    return m(&ranges[0]);
-}
-
-static inline Mat slice(const Mat &m, const _Range &r0, const _Range &r1)
-{
-    CV_Assert(m.dims >= 2);
-    Range ranges[CV_MAX_DIM];
-    for (int i = 2; i < m.dims; i++)
-        ranges[i] = Range::all();
-    ranges[0] = r0;
-    ranges[1] = r1;
-    return m(&ranges[0]);
-}
-
-static inline Mat slice(const Mat &m, const _Range &r0, const _Range &r1, const _Range &r2)
-{
-    CV_Assert(m.dims >= 3);
-    Range ranges[CV_MAX_DIM];
-    for (int i = 3; i < m.dims; i++)
-        ranges[i] = Range::all();
-    ranges[0] = r0;
-    ranges[1] = r1;
-    ranges[2] = r2;
-    return m(&ranges[0]);
-}
-
-static inline Mat slice(const Mat &m, const _Range &r0, const _Range &r1, const _Range &r2, const _Range &r3)
-{
-    CV_Assert(m.dims >= 4);
-    Range ranges[CV_MAX_DIM];
-    for (int i = 4; i < m.dims; i++)
-        ranges[i] = Range::all();
-    ranges[0] = r0;
-    ranges[1] = r1;
-    ranges[2] = r2;
-    ranges[3] = r3;
-    return m(&ranges[0]);
-}
-
-static inline Mat getPlane(const Mat &m, int n, int cn)
-{
-    CV_Assert(m.dims > 2);
-    Range range[CV_MAX_DIM];
-    int sz[CV_MAX_DIM];
-    for(int i = 2; i < m.dims; i++)
-    {
-        sz[i-2] = m.size.p[i];
-        range[i] = Range::all();
-    }
-    range[0] = Range(n, n+1);
-    range[1] = Range(cn, cn+1);
-    return m(range).reshape(1, m.dims-2, sz);
-}
-
-static inline MatShape shape(const int* dims, const int n = 4)
-{
-    MatShape shape;
-    shape.assign(dims, dims + n);
-    return shape;
-}
-
-static inline MatShape shape(const Mat& mat)
-{
-    return shape(mat.size.p, mat.dims);
-}
-
-namespace {inline bool is_neg(int i) { return i < 0; }}
-
-static inline MatShape shape(int a0, int a1=-1, int a2=-1, int a3=-1)
-{
-    int dims[] = {a0, a1, a2, a3};
-    MatShape s = shape(dims);
-    s.erase(std::remove_if(s.begin(), s.end(), is_neg), s.end());
-    return s;
-}
-
-static inline int total(const MatShape& shape, int start = -1, int end = -1)
-{
-    if (start == -1) start = 0;
-    if (end == -1) end = shape.size();
-
-    if (shape.empty())
-        return 0;
-
-    int elems = 1;
-    CV_Assert(start < shape.size() && end <= shape.size() &&
-              start <= end);
-    for(int i = start; i < end; i++)
-    {
-        elems *= shape[i];
-    }
-    return elems;
-}
-
-static inline MatShape concat(const MatShape& a, const MatShape& b)
-{
-    MatShape c = a;
-    c.insert(c.end(), b.begin(), b.end());
-
-    return c;
-}
-
-inline void print(const MatShape& shape, const String& name = "")
-{
-    printf("%s: [", name.c_str());
-    size_t i, n = shape.size();
-    for( i = 0; i < n; i++ )
-        printf(" %d", shape[i]);
-    printf(" ]\n");
-}
-
-inline int clamp(int ax, int dims)
-{
-    return ax < 0 ? ax + dims : ax;
-}
-
-inline int clamp(int ax, const MatShape& shape)
-{
-    return clamp(ax, shape.size());
-}
-
-}
-}
-#endif

modules/dnn/misc/python/pyopencv_dnn.hpp

-#ifdef HAVE_OPENCV_DNN
-typedef dnn::DictValue LayerId;
-typedef std::vector<dnn::MatShape> vector_MatShape;
-typedef std::vector<std::vector<dnn::MatShape> > vector_vector_MatShape;
-typedef std::vector<size_t> vector_size_t;
-typedef std::vector<std::vector<Mat> > vector_vector_Mat;
-
-template<>
-bool pyopencv_to(PyObject *o, dnn::DictValue &dv, const char *name)
-{
-    (void)name;
-    if (!o || o == Py_None)
-        return true; //Current state will be used
-    else if (PyLong_Check(o))
-    {
-        dv = dnn::DictValue((int64)PyLong_AsLongLong(o));
-        return true;
-    }
-    else if (PyFloat_Check(o))
-    {
-        dv = dnn::DictValue(PyFloat_AS_DOUBLE(o));
-        return true;
-    }
-    else if (PyString_Check(o))
-    {
-        dv = dnn::DictValue(String(PyString_AsString(o)));
-        return true;
-    }
-    else
-        return false;
-}
-
-template<>
-bool pyopencv_to(PyObject *o, std::vector<Mat> &blobs, const char *name) //required for Layer::blobs RW
-{
-  return pyopencvVecConverter<Mat>::to(o, blobs, ArgInfo(name, false));
-}
-
-#endif

modules/dnn/misc/tensorflow/types.pb.cc

-// Generated by the protocol buffer compiler.  DO NOT EDIT!
-// source: types.proto
-
-#define INTERNAL_SUPPRESS_PROTOBUF_FIELD_DEPRECATION
-#include "types.pb.h"
-
-#include <algorithm>
-
-#include <google/protobuf/stubs/common.h>
-#include <google/protobuf/stubs/port.h>
-#include <google/protobuf/stubs/once.h>
-#include <google/protobuf/io/coded_stream.h>
-#include <google/protobuf/wire_format_lite_inl.h>
-#include <google/protobuf/descriptor.h>
-#include <google/protobuf/generated_message_reflection.h>
-#include <google/protobuf/reflection_ops.h>
-#include <google/protobuf/wire_format.h>
-// @@protoc_insertion_point(includes)
-
-namespace tensorflow {
-
-namespace {
-
-const ::google::protobuf::EnumDescriptor* DataType_descriptor_ = NULL;
-
-}  // namespace
-
-
-void protobuf_AssignDesc_types_2eproto() GOOGLE_ATTRIBUTE_COLD;
-void protobuf_AssignDesc_types_2eproto() {
-  protobuf_AddDesc_types_2eproto();
-  const ::google::protobuf::FileDescriptor* file =
-    ::google::protobuf::DescriptorPool::generated_pool()->FindFileByName(
-      "types.proto");
-  GOOGLE_CHECK(file != NULL);
-  DataType_descriptor_ = file->enum_type(0);
-}
-
-namespace {
-
-GOOGLE_PROTOBUF_DECLARE_ONCE(protobuf_AssignDescriptors_once_);
-void protobuf_AssignDescriptorsOnce() {
-  ::google::protobuf::GoogleOnceInit(&protobuf_AssignDescriptors_once_,
-                 &protobuf_AssignDesc_types_2eproto);
-}
-
-void protobuf_RegisterTypes(const ::std::string&) GOOGLE_ATTRIBUTE_COLD;
-void protobuf_RegisterTypes(const ::std::string&) {
-  protobuf_AssignDescriptorsOnce();
-}
-
-}  // namespace
-
-void protobuf_ShutdownFile_types_2eproto() {
-}
-
-void protobuf_InitDefaults_types_2eproto_impl() {
-  GOOGLE_PROTOBUF_VERIFY_VERSION;
-
-}
-
-GOOGLE_PROTOBUF_DECLARE_ONCE(protobuf_InitDefaults_types_2eproto_once_);
-void protobuf_InitDefaults_types_2eproto() {
-  ::google::protobuf::GoogleOnceInit(&protobuf_InitDefaults_types_2eproto_once_,
-                 &protobuf_InitDefaults_types_2eproto_impl);
-}
-void protobuf_AddDesc_types_2eproto_impl() {
-  GOOGLE_PROTOBUF_VERIFY_VERSION;
-
-  protobuf_InitDefaults_types_2eproto();
-  ::google::protobuf::DescriptorPool::InternalAddGeneratedFile(
-    "\n\013types.proto\022\ntensorflow*\234\005\n\010DataType\022\016"
-    "\n\nDT_INVALID\020\000\022\014\n\010DT_FLOAT\020\001\022\r\n\tDT_DOUBL"
-    "E\020\002\022\014\n\010DT_INT32\020\003\022\014\n\010DT_UINT8\020\004\022\014\n\010DT_IN"
-    "T16\020\005\022\013\n\007DT_INT8\020\006\022\r\n\tDT_STRING\020\007\022\020\n\014DT_"
-    "COMPLEX64\020\010\022\014\n\010DT_INT64\020\t\022\013\n\007DT_BOOL\020\n\022\014"
-    "\n\010DT_QINT8\020\013\022\r\n\tDT_QUINT8\020\014\022\r\n\tDT_QINT32"
-    "\020\r\022\017\n\013DT_BFLOAT16\020\016\022\r\n\tDT_QINT16\020\017\022\016\n\nDT"
-    "_QUINT16\020\020\022\r\n\tDT_UINT16\020\021\022\021\n\rDT_COMPLEX1"
-    "28\020\022\022\013\n\007DT_HALF\020\023\022\020\n\014DT_FLOAT_REF\020e\022\021\n\rD"
-    "T_DOUBLE_REF\020f\022\020\n\014DT_INT32_REF\020g\022\020\n\014DT_U"
-    "INT8_REF\020h\022\020\n\014DT_INT16_REF\020i\022\017\n\013DT_INT8_"
-    "REF\020j\022\021\n\rDT_STRING_REF\020k\022\024\n\020DT_COMPLEX64"
-    "_REF\020l\022\020\n\014DT_INT64_REF\020m\022\017\n\013DT_BOOL_REF\020"
-    "n\022\020\n\014DT_QINT8_REF\020o\022\021\n\rDT_QUINT8_REF\020p\022\021"
-    "\n\rDT_QINT32_REF\020q\022\023\n\017DT_BFLOAT16_REF\020r\022\021"
-    "\n\rDT_QINT16_REF\020s\022\022\n\016DT_QUINT16_REF\020t\022\021\n"
-    "\rDT_UINT16_REF\020u\022\025\n\021DT_COMPLEX128_REF\020v\022"
-    "\017\n\013DT_HALF_REF\020wB,\n\030org.tensorflow.frame"
-    "workB\013TypesProtosP\001\370\001\001b\006proto3", 750);
-  ::google::protobuf::MessageFactory::InternalRegisterGeneratedFile(
-    "types.proto", &protobuf_RegisterTypes);
-  ::google::protobuf::internal::OnShutdown(&protobuf_ShutdownFile_types_2eproto);
-}
-
-GOOGLE_PROTOBUF_DECLARE_ONCE(protobuf_AddDesc_types_2eproto_once_);
-void protobuf_AddDesc_types_2eproto() {
-  ::google::protobuf::GoogleOnceInit(&protobuf_AddDesc_types_2eproto_once_,
-                 &protobuf_AddDesc_types_2eproto_impl);
-}
-// Force AddDescriptors() to be called at static initialization time.
-struct StaticDescriptorInitializer_types_2eproto {
-  StaticDescriptorInitializer_types_2eproto() {
-    protobuf_AddDesc_types_2eproto();
-  }
-} static_descriptor_initializer_types_2eproto_;
-const ::google::protobuf::EnumDescriptor* DataType_descriptor() {
-  protobuf_AssignDescriptorsOnce();
-  return DataType_descriptor_;
-}
-bool DataType_IsValid(int value) {
-  switch (value) {
-    case 0:
-    case 1:
-    case 2:
-    case 3:
-    case 4:
-    case 5:
-    case 6:
-    case 7:
-    case 8:
-    case 9:
-    case 10:
-    case 11:
-    case 12:
-    case 13:
-    case 14:
-    case 15:
-    case 16:
-    case 17:
-    case 18:
-    case 19:
-    case 101:
-    case 102:
-    case 103:
-    case 104:
-    case 105:
-    case 106:
-    case 107:
-    case 108:
-    case 109:
-    case 110:
-    case 111:
-    case 112:
-    case 113:
-    case 114:
-    case 115:
-    case 116:
-    case 117:
-    case 118:
-    case 119:
-      return true;
-    default:
-      return false;
-  }
-}
-
-
-// @@protoc_insertion_point(namespace_scope)
-
-}  // namespace tensorflow
-
-// @@protoc_insertion_point(global_scope)

modules/dnn/misc/tensorflow/types.pb.h

-// Generated by the protocol buffer compiler.  DO NOT EDIT!
-// source: types.proto
-
-#ifndef PROTOBUF_types_2eproto__INCLUDED
-#define PROTOBUF_types_2eproto__INCLUDED
-
-#include <string>
-
-#include <google/protobuf/stubs/common.h>
-
-#if GOOGLE_PROTOBUF_VERSION < 3001000
-#error This file was generated by a newer version of protoc which is
-#error incompatible with your Protocol Buffer headers.  Please update
-#error your headers.
-#endif
-#if 3001000 < GOOGLE_PROTOBUF_MIN_PROTOC_VERSION
-#error This file was generated by an older version of protoc which is
-#error incompatible with your Protocol Buffer headers.  Please
-#error regenerate this file with a newer version of protoc.
-#endif
-
-#include <google/protobuf/arena.h>
-#include <google/protobuf/arenastring.h>
-#include <google/protobuf/generated_message_util.h>
-#include <google/protobuf/metadata.h>
-#include <google/protobuf/repeated_field.h>
-#include <google/protobuf/extension_set.h>
-#include <google/protobuf/generated_enum_reflection.h>
-// @@protoc_insertion_point(includes)
-
-namespace tensorflow {
-
-// Internal implementation detail -- do not call these.
-void protobuf_AddDesc_types_2eproto();
-void protobuf_InitDefaults_types_2eproto();
-void protobuf_AssignDesc_types_2eproto();
-void protobuf_ShutdownFile_types_2eproto();
-
-
-enum DataType {
-  DT_INVALID = 0,
-  DT_FLOAT = 1,
-  DT_DOUBLE = 2,
-  DT_INT32 = 3,
-  DT_UINT8 = 4,
-  DT_INT16 = 5,
-  DT_INT8 = 6,
-  DT_STRING = 7,
-  DT_COMPLEX64 = 8,
-  DT_INT64 = 9,
-  DT_BOOL = 10,
-  DT_QINT8 = 11,
-  DT_QUINT8 = 12,
-  DT_QINT32 = 13,
-  DT_BFLOAT16 = 14,
-  DT_QINT16 = 15,
-  DT_QUINT16 = 16,
-  DT_UINT16 = 17,
-  DT_COMPLEX128 = 18,
-  DT_HALF = 19,
-  DT_FLOAT_REF = 101,
-  DT_DOUBLE_REF = 102,
-  DT_INT32_REF = 103,
-  DT_UINT8_REF = 104,
-  DT_INT16_REF = 105,
-  DT_INT8_REF = 106,
-  DT_STRING_REF = 107,
-  DT_COMPLEX64_REF = 108,
-  DT_INT64_REF = 109,
-  DT_BOOL_REF = 110,
-  DT_QINT8_REF = 111,
-  DT_QUINT8_REF = 112,
-  DT_QINT32_REF = 113,
-  DT_BFLOAT16_REF = 114,
-  DT_QINT16_REF = 115,
-  DT_QUINT16_REF = 116,
-  DT_UINT16_REF = 117,
-  DT_COMPLEX128_REF = 118,
-  DT_HALF_REF = 119,
-  DataType_INT_MIN_SENTINEL_DO_NOT_USE_ = ::google::protobuf::kint32min,
-  DataType_INT_MAX_SENTINEL_DO_NOT_USE_ = ::google::protobuf::kint32max
-};
-bool DataType_IsValid(int value);
-const DataType DataType_MIN = DT_INVALID;
-const DataType DataType_MAX = DT_HALF_REF;
-const int DataType_ARRAYSIZE = DataType_MAX + 1;
-
-const ::google::protobuf::EnumDescriptor* DataType_descriptor();
-inline const ::std::string& DataType_Name(DataType value) {
-  return ::google::protobuf::internal::NameOfEnum(
-    DataType_descriptor(), value);
-}
-inline bool DataType_Parse(
-    const ::std::string& name, DataType* value) {
-  return ::google::protobuf::internal::ParseNamedEnum<DataType>(
-    DataType_descriptor(), name, value);
-}
-// ===================================================================
-
-
-// ===================================================================
-
-
-// ===================================================================
-
-#if !PROTOBUF_INLINE_NOT_IN_HEADERS
-#endif  // !PROTOBUF_INLINE_NOT_IN_HEADERS
-
-// @@protoc_insertion_point(namespace_scope)
-
-}  // namespace tensorflow
-
-#ifndef SWIG
-namespace google {
-namespace protobuf {
-
-template <> struct is_proto_enum< ::tensorflow::DataType> : ::google::protobuf::internal::true_type {};
-template <>
-inline const EnumDescriptor* GetEnumDescriptor< ::tensorflow::DataType>() {
-  return ::tensorflow::DataType_descriptor();
-}
-
-}  // namespace protobuf
-}  // namespace google
-#endif  // SWIG
-
-// @@protoc_insertion_point(global_scope)
-
-#endif  // PROTOBUF_types_2eproto__INCLUDED

modules/dnn/perf/perf_main.cpp

-#include "perf_precomp.hpp"
-
-static const char* extraTestDataPath =
-#ifdef WINRT
-        NULL;
-#else
-        getenv("OPENCV_DNN_TEST_DATA_PATH");
-#endif
-
-CV_PERF_TEST_MAIN(dnn,
-    extraTestDataPath ? (void)cvtest::addDataSearchPath(extraTestDataPath) : (void)0
-)

modules/dnn/perf/perf_precomp.hpp

-#ifdef __GNUC__
-#  pragma GCC diagnostic ignored "-Wmissing-declarations"
-#  if defined __clang__ || defined __APPLE__
-#    pragma GCC diagnostic ignored "-Wmissing-prototypes"
-#    pragma GCC diagnostic ignored "-Wextra"
-#  endif
-#endif
-
-#ifndef __OPENCV_PERF_PRECOMP_HPP__
-#define __OPENCV_PERF_PRECOMP_HPP__
-
-#include <opencv2/ts.hpp>
-#include <opencv2/imgproc.hpp>
-#include <opencv2/highgui.hpp>
-#include <opencv2/dnn.hpp>
-
-#endif

modules/dnn/samples/.gitignore

-*.caffemodel