Mercurial > hgrepos > Python2 > PyMuPDF

annotate mupdf-source/thirdparty/tesseract/src/lstm/input.h @ 2:b50eed0cc0ef upstream

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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4. The directory name has changed: no version number in the expanded directory now.
author Franz Glasner <fzglas.hg@dom66.de>
date Mon, 15 Sep 2025 11:43:07 +0200
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1 ///////////////////////////////////////////////////////////////////////
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2 // File: input.h
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3 // Description: Input layer class for neural network implementations.
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4 // Author: Ray Smith
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5 //
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6 // (C) Copyright 2014, Google Inc.
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7 // Licensed under the Apache License, Version 2.0 (the "License");
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8 // you may not use this file except in compliance with the License.
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9 // You may obtain a copy of the License at
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10 // http://www.apache.org/licenses/LICENSE-2.0
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11 // Unless required by applicable law or agreed to in writing, software
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12 // distributed under the License is distributed on an "AS IS" BASIS,
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13 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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14 // See the License for the specific language governing permissions and
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15 // limitations under the License.
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16 ///////////////////////////////////////////////////////////////////////
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18 #ifndef TESSERACT_LSTM_INPUT_H_
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19 #define TESSERACT_LSTM_INPUT_H_
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21 #include "network.h"
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23 namespace tesseract {
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25 class ScrollView;
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27 class Input : public Network {
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28 public:
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29 TESS_API
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30 Input(const std::string &name, int ni, int no);
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31 TESS_API
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32 Input(const std::string &name, const StaticShape &shape);
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33 ~Input() override = default;
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35 std::string spec() const override {
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36 return std::to_string(shape_.batch()) + "," +
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37 std::to_string(shape_.height()) + "," +
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38 std::to_string(shape_.width()) + "," +
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39 std::to_string(shape_.depth());
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40 }
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42 // Returns the required shape input to the network.
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43 StaticShape InputShape() const override {
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44 return shape_;
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45 }
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46 // Returns the shape output from the network given an input shape (which may
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47 // be partially unknown ie zero).
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48 StaticShape OutputShape(
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49 [[maybe_unused]] const StaticShape &input_shape) const override {
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50 return shape_;
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51 }
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52 // Writes to the given file. Returns false in case of error.
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53 // Should be overridden by subclasses, but called by their Serialize.
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54 bool Serialize(TFile *fp) const override;
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55 // Reads from the given file. Returns false in case of error.
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56 bool DeSerialize(TFile *fp) override;
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57
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58 // Returns an integer reduction factor that the network applies to the
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59 // time sequence. Assumes that any 2-d is already eliminated. Used for
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60 // scaling bounding boxes of truth data.
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61 // WARNING: if GlobalMinimax is used to vary the scale, this will return
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62 // the last used scale factor. Call it before any forward, and it will return
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63 // the minimum scale factor of the paths through the GlobalMinimax.
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64 int XScaleFactor() const override;
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65
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66 // Provides the (minimum) x scale factor to the network (of interest only to
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67 // input units) so they can determine how to scale bounding boxes.
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68 void CacheXScaleFactor(int factor) override;
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69
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70 // Runs forward propagation of activations on the input line.
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71 // See Network for a detailed discussion of the arguments.
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72 void Forward(bool debug, const NetworkIO &input,
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73 const TransposedArray *input_transpose, NetworkScratch *scratch,
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74 NetworkIO *output) override;
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75
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76 // Runs backward propagation of errors on the deltas line.
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77 // See Network for a detailed discussion of the arguments.
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78 bool Backward(bool debug, const NetworkIO &fwd_deltas,
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79 NetworkScratch *scratch, NetworkIO *back_deltas) override;
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80 // Creates and returns a Pix of appropriate size for the network from the
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81 // image_data. If non-null, *image_scale returns the image scale factor used.
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82 // Returns nullptr on error.
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83 /* static */
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84 static Image PrepareLSTMInputs(const ImageData &image_data,
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85 const Network *network, int min_width,
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86 TRand *randomizer, float *image_scale);
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87 // Converts the given pix to a NetworkIO of height and depth appropriate to
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88 // the given StaticShape:
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89 // If depth == 3, convert to 24 bit color, otherwise normalized grey.
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90 // Scale to target height, if the shape's height is > 1, or its depth if the
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91 // height == 1. If height == 0 then no scaling.
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92 // NOTE: It isn't safe for multiple threads to call this on the same pix.
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93 static void PreparePixInput(const StaticShape &shape, const Image pix,
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94 TRand *randomizer, NetworkIO *input);
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95
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96 private:
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97 void DebugWeights() override {
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98 tprintf("Must override Network::DebugWeights for type %d\n", type_);
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99 }
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100
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101 // Input shape determines how images are dealt with.
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102 StaticShape shape_;
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103 // Cached total network x scale factor for scaling bounding boxes.
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104 int cached_x_scale_;
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105 };
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106
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107 } // namespace tesseract.
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108
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109 #endif // TESSERACT_LSTM_INPUT_H_