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Clean adas header
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/*
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By downloading, copying, installing or using the software you agree to this
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license. 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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License Agreement
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For Open Source Computer Vision Library
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(3-clause BSD License)
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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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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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* Redistributions 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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* Redistributions 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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* Neither the names of the copyright holders nor the names of the contributors
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may be used to endorse or promote products derived from this software
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without specific prior written permission.
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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
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disclaimed. In no event shall copyright holders or contributors be liable for
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any direct, 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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#ifndef __OPENCV_ADAS_ADAS_HPP__
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#define __OPENCV_ADAS_ADAS_HPP__
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namespace cv
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{
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namespace adas
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{
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class CV_EXPORTS ICFDetector
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{
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public:
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/* Initialize detector */
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ICFDetector();
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/* Load detector from file, return true on success, false otherwise */
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bool load(const std::string& filename);
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/* Run detector on single image
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image — image for detection
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bboxes — output array of object bounding boxes in format
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Rect(row_from, col_from, n_rows, n_cols)
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confidence_values — output array of confidence values from 0 to 1.
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One value per bbox — confidence of detector that corresponding
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bbox contatins object
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minObjSize — min possible object size on image in pixels (rows x cols)
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maxObjSize — max possible object size on image in pixels (rows x cols)
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*/
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void detect(InputArray image,
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std::vector<Rect>& bboxes,
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std::vector<float>& confidence_values,
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Size minObjSize,
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Size maxObjSize) const;
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};
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} /* namespace adas */
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} /* namespace cv */
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#endif /* __OPENCV_ADAS_ADAS_HPP__ */
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