flatten_layer.cpp 4.21 KB
Newer Older
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45
/*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*/

#include "../precomp.hpp"
#include "layers_common.hpp"
#include <float.h>
#include <algorithm>
46
#include <opencv2/dnn/shape_utils.hpp>
47 48 49 50 51 52

namespace cv
{
namespace dnn
{

53
class FlattenLayerImpl : public FlattenLayer
Anna Petrovicheva's avatar
Anna Petrovicheva committed
54
{
55 56 57 58 59 60 61
public:
    FlattenLayerImpl(const LayerParams &params)
    {
        _startAxis = params.get<int>("axis", 1);
        _endAxis = params.get<int>("end_axis", -1);
        setParamsFrom(params);
    }
62

63 64 65 66
    bool getMemoryShapes(const std::vector<MatShape> &inputs,
                         const int requiredOutputs,
                         std::vector<MatShape> &outputs,
                         std::vector<MatShape> &internals) const
67
    {
68 69 70 71 72
        CV_Assert(inputs.size() > 0);
        for (size_t i = 1; i < inputs.size(); i++)
        {
            CV_Assert(inputs[i] == inputs[0]);
        }
73

74 75 76 77 78
        int numAxes = inputs[0].size();
        int startAxis = clamp(_startAxis, numAxes);
        int endAxis = clamp(_endAxis, numAxes);

        for (size_t i = 1; i < inputs.size(); i++)
79
        {
80
            CV_Assert(inputs[i] == inputs[0]);
81 82 83
        }


84 85 86
        CV_Assert(startAxis >= 0);
        CV_Assert(endAxis >= startAxis && endAxis < (int)numAxes);

87
        size_t flattenedDimensionSize = total(inputs[0], startAxis, endAxis + 1);
88

89 90
        MatShape outputShapeVec;
        for (int i = 0; i < startAxis; i++)
91
        {
92
            outputShapeVec.push_back(inputs[0][i]);
93
        }
94 95
        outputShapeVec.push_back(flattenedDimensionSize);
        for (size_t i = endAxis + 1; i < numAxes; i++)
96
        {
97
            outputShapeVec.push_back(inputs[0][i]);
98
        }
99
        CV_Assert(outputShapeVec.size() <= 4);
100

101 102 103
        outputs.resize(inputs.size(), outputShapeVec);

        return true;
104
    }
105

106
    void forward(std::vector<Mat*> &inputs, std::vector<Mat> &outputs, std::vector<Mat> &internals)
107
    {
108 109
        for (size_t i = 0; i < inputs.size(); i++)
        {
110 111
            MatShape outShape = shape(outputs[i]);
            outputs[i] = inputs[i]->reshape(1, (int)outShape.size(), &outShape[0]);
112
        }
113
    }
114

115 116 117
    int _startAxis;
    int _endAxis;
};
118

119
Ptr<FlattenLayer> FlattenLayer::create(const LayerParams& params)
120
{
121
    return Ptr<FlattenLayer>(new FlattenLayerImpl(params));
122
}
123

124 125
}
}