Repository for OpenCV's extra modules
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/*
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
(3-clause BSD License)
Copyright (C) 2000-2016, Intel Corporation, all rights reserved.
Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved.
Copyright (C) 2009-2016, NVIDIA Corporation, all rights reserved.
Copyright (C) 2010-2013, Advanced Micro Devices, Inc., all rights reserved.
Copyright (C) 2015-2016, OpenCV Foundation, all rights reserved.
Copyright (C) 2015-2016, Itseez Inc., all rights reserved.
Third party copyrights are property of their respective owners.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
* Redistributions 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.
* Neither the names of the copyright holders nor the names of the contributors
may 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 copyright holders 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.
*/
#ifndef __OPENCV_DNN_M_HPP__
#define __OPENCV_DNN_M_HPP__
#include "opencv2/core.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/imgproc.hpp"
/** @defgroup dnn_modern Deep Learning Modern Module
@{
Base class for tiny-dnn converter
@}
*/
namespace cv {
namespace dnn2 {
class CV_EXPORTS_W BaseConverter
{
public:
virtual ~BaseConverter() {};
virtual void eval(const cv::InputArray image, std::vector<float_t>* results) = 0;
};
/** @brief Class implementing the CaffeConverter.
Implementation of tiny-dnn Caffe converter.
Loads a pretrained Caffe model. Only support simple sequential models.
*/
class CV_EXPORTS_W CaffeConverter : public BaseConverter {
public:
/**
@param model_file path to the prototxt file.
@param trained_file path to the caffemodel file.
@param mean_file path to binaryproto file.
*/
CV_WRAP static Ptr<CaffeConverter> create(const cv::String& model_file,
const cv::String& trained_file,
const cv::String& mean_file=cv::String());
virtual void eval(const cv::InputArray image, std::vector<float_t>* results) = 0;
};
} // namespace dnn2
} // namespace cv
#endif
/* End of file. */