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							- /*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
 
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- // 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,
 
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- //
 
- //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 compatibility
 
- /** @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 */
 
 
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