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106 lines
4.4 KiB
C++
106 lines
4.4 KiB
C++
///////////////////////////////////////////////////////////////////////
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// File: input.h
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// Description: Input layer class for neural network implementations.
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// Author: Ray Smith
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// Created: Thu Mar 13 08:56:26 PDT 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_INPUT_H_
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#define TESSERACT_LSTM_INPUT_H_
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#include "network.h"
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class ScrollView;
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namespace tesseract {
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class Input : public Network {
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public:
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Input(const STRING& name, int ni, int no);
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Input(const STRING& name, const StaticShape& shape);
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virtual ~Input();
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virtual STRING spec() const {
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STRING spec;
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spec.add_str_int("", shape_.batch());
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spec.add_str_int(",", shape_.height());
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spec.add_str_int(",", shape_.width());
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spec.add_str_int(",", shape_.depth());
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return spec;
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}
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// Returns the required shape input to the network.
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virtual StaticShape InputShape() const { return shape_; }
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// Returns the shape output from the network given an input shape (which may
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// be partially unknown ie zero).
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virtual StaticShape OutputShape(const StaticShape& input_shape) const {
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return shape_;
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}
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// Writes to the given file. Returns false in case of error.
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// Should be overridden by subclasses, but called by their Serialize.
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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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virtual bool DeSerialize(TFile* fp);
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// Returns an integer reduction factor that the network applies to the
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// time sequence. Assumes that any 2-d is already eliminated. Used for
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// scaling bounding boxes of truth data.
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// WARNING: if GlobalMinimax is used to vary the scale, this will return
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// the last used scale factor. Call it before any forward, and it will return
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// the minimum scale factor of the paths through the GlobalMinimax.
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virtual int XScaleFactor() const;
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// Provides the (minimum) x scale factor to the network (of interest only to
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// input units) so they can determine how to scale bounding boxes.
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virtual void CacheXScaleFactor(int factor);
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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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// Creates and returns a Pix of appropriate size for the network from the
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// image_data. If non-null, *image_scale returns the image scale factor used.
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// Returns nullptr on error.
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/* static */
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static Pix* PrepareLSTMInputs(const ImageData& image_data,
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const Network* network, int min_width,
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TRand* randomizer, float* image_scale);
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// Converts the given pix to a NetworkIO of height and depth appropriate to
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// the given StaticShape:
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// If depth == 3, convert to 24 bit color, otherwise normalized grey.
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// Scale to target height, if the shape's height is > 1, or its depth if the
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// height == 1. If height == 0 then no scaling.
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// NOTE: It isn't safe for multiple threads to call this on the same pix.
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static void PreparePixInput(const StaticShape& shape, const Pix* pix,
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TRand* randomizer, NetworkIO* input);
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private:
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// Input shape determines how images are dealt with.
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StaticShape shape_;
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// Cached total network x scale factor for scaling bounding boxes.
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int cached_x_scale_;
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};
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} // namespace tesseract.
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#endif // TESSERACT_LSTM_INPUT_H_
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