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75 lines
2.8 KiB
C++
75 lines
2.8 KiB
C++
///////////////////////////////////////////////////////////////////////
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// File: convolve.h
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// Description: Convolutional layer that stacks the inputs over its rectangle
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// and pulls in random data to fill out-of-input inputs.
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// Output is therefore same size as its input, but deeper.
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// Author: Ray Smith
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// Created: Tue Mar 18 16:45:34 PST 2014
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//
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// (C) Copyright 2014, Google Inc.
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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// http://www.apache.org/licenses/LICENSE-2.0
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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///////////////////////////////////////////////////////////////////////
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#ifndef TESSERACT_LSTM_CONVOLVE_H_
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#define TESSERACT_LSTM_CONVOLVE_H_
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#include "genericvector.h"
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#include "matrix.h"
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#include "network.h"
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namespace tesseract {
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// Makes each time-step deeper by stacking inputs over its rectangle. Does not
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// affect the size of its input. Achieves this by bringing in random values in
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// out-of-input areas.
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class Convolve : public Network {
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public:
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// The area of convolution is 2*half_x + 1 by 2*half_y + 1, forcing it to
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// always be odd, so the center is the current pixel.
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Convolve(const STRING& name, int ni, int half_x, int half_y);
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virtual ~Convolve();
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virtual STRING spec() const {
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STRING spec;
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spec.add_str_int("C", half_x_ * 2 + 1);
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spec.add_str_int(",", half_y_ * 2 + 1);
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return spec;
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}
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// Writes to the given file. Returns false in case of error.
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virtual bool Serialize(TFile* fp) const;
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// Reads from the given file. Returns false in case of error.
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// If swap is true, assumes a big/little-endian swap is needed.
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virtual bool DeSerialize(bool swap, TFile* fp);
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// Runs forward propagation of activations on the input line.
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// See Network for a detailed discussion of the arguments.
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virtual void Forward(bool debug, const NetworkIO& input,
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const TransposedArray* input_transpose,
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NetworkScratch* scratch, NetworkIO* output);
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// Runs backward propagation of errors on the deltas line.
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// See Network for a detailed discussion of the arguments.
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virtual bool Backward(bool debug, const NetworkIO& fwd_deltas,
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NetworkScratch* scratch,
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NetworkIO* back_deltas);
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protected:
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// Serialized data.
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inT32 half_x_;
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inT32 half_y_;
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};
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} // namespace tesseract.
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#endif // TESSERACT_LSTM_SUBSAMPLE_H_
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