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117 lines
5.2 KiB
117 lines
5.2 KiB
/*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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// (3-clause BSD License) |
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// |
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// Copyright (C) 2017, Intel Corporation, 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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// * 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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// |
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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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// |
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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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// |
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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 copyright holders 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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/*M/////////////////////////////////////////////////////////////////////////////////////// |
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//MIT License |
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// |
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//Copyright (c) 2017 Joseph Redmon |
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// |
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//Permission is hereby granted, free of charge, to any person obtaining a copy |
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//of this software and associated documentation files (the "Software"), to deal |
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//in the Software without restriction, including without limitation the rights |
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//to use, copy, modify, merge, publish, distribute, sublicense, and/or sell |
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//copies of the Software, and to permit persons to whom the Software is |
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//furnished to do so, subject to the following conditions: |
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// |
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//The above copyright notice and this permission notice shall be included in all |
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//copies or substantial portions of the Software. |
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// |
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//THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
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//IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
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//FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
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//AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
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//LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
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//OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
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//SOFTWARE. |
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// |
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//M*/ |
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#ifndef __OPENCV_DNN_DARKNET_IO_HPP__ |
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#define __OPENCV_DNN_DARKNET_IO_HPP__ |
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#include <opencv2/dnnlegacy/dnnlegacy.hpp> |
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namespace cv { |
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namespace dnnlegacy { |
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namespace darknet { |
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class LayerParameter { |
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std::string layer_name, layer_type; |
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std::vector<std::string> bottom_indexes; |
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cv::dnn::LayerParams layerParams; |
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public: |
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friend class setLayersParams; |
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cv::dnn::LayerParams getLayerParams() const { return layerParams; } |
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std::string name() const { return layer_name; } |
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std::string type() const { return layer_type; } |
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int bottom_size() const { return bottom_indexes.size(); } |
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std::string bottom(const int index) const { return bottom_indexes.at(index); } |
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int top_size() const { return 1; } |
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std::string top(const int index) const { return layer_name; } |
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}; |
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class NetParameter { |
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public: |
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int width, height, channels; |
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std::vector<LayerParameter> layers; |
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std::vector<int> out_channels_vec; |
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std::map<int, std::map<std::string, std::string> > layers_cfg; |
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std::map<std::string, std::string> net_cfg; |
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NetParameter() : width(0), height(0), channels(0) {} |
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int layer_size() const { return layers.size(); } |
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int input_size() const { return 1; } |
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std::string input(const int index) const { return "data"; } |
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LayerParameter layer(const int index) const { return layers.at(index); } |
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}; |
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} |
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// Read parameters from a stream into a NetParameter message. |
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void ReadNetParamsFromCfgStreamOrDie(std::istream &ifile, darknet::NetParameter *net); |
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void ReadNetParamsFromBinaryStreamOrDie(std::istream &ifile, darknet::NetParameter *net); |
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} |
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} |
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#endif
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