Mercurial > hgrepos > Python2 > PyMuPDF

annotate mupdf-source/thirdparty/tesseract/src/lstm/convolve.cpp @ 21:2f43e400f144

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Provide an "all" target to build both the sdist and the wheel
author Franz Glasner <fzglas.hg@dom66.de>
date Fri, 19 Sep 2025 10:28:53 +0200
parents b50eed0cc0ef
children
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2
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1 ///////////////////////////////////////////////////////////////////////
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2 // File: convolve.cpp
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3 // Description: Convolutional layer that stacks the inputs over its rectangle
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4 // and pulls in random data to fill out-of-input inputs.
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5 // Output is therefore same size as its input, but deeper.
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6 // Author: Ray Smith
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7 //
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8 // (C) Copyright 2014, Google Inc.
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9 // Licensed under the Apache License, Version 2.0 (the "License");
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10 // you may not use this file except in compliance with the License.
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11 // You may obtain a copy of the License at
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12 // http://www.apache.org/licenses/LICENSE-2.0
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13 // Unless required by applicable law or agreed to in writing, software
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14 // distributed under the License is distributed on an "AS IS" BASIS,
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15 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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16 // See the License for the specific language governing permissions and
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17 // limitations under the License.
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18 ///////////////////////////////////////////////////////////////////////
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19
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20 #ifdef HAVE_CONFIG_H
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21 # include "config_auto.h"
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22 #endif
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23
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24 #include "convolve.h"
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26 #include "networkscratch.h"
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27 #include "serialis.h"
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29 namespace tesseract {
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31 Convolve::Convolve(const std::string &name, int ni, int half_x, int half_y)
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32 : Network(NT_CONVOLVE, name, ni, ni * (2 * half_x + 1) * (2 * half_y + 1))
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33 , half_x_(half_x)
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34 , half_y_(half_y) {}
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35
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36 // Writes to the given file. Returns false in case of error.
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37 bool Convolve::Serialize(TFile *fp) const {
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38 return Network::Serialize(fp) && fp->Serialize(&half_x_) && fp->Serialize(&half_y_);
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39 }
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40
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41 // Reads from the given file. Returns false in case of error.
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42 bool Convolve::DeSerialize(TFile *fp) {
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43 if (!fp->DeSerialize(&half_x_)) {
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44 return false;
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45 }
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46 if (!fp->DeSerialize(&half_y_)) {
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47 return false;
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48 }
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49 no_ = ni_ * (2 * half_x_ + 1) * (2 * half_y_ + 1);
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50 return true;
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51 }
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52
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53 // Runs forward propagation of activations on the input line.
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54 // See NetworkCpp for a detailed discussion of the arguments.
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55 void Convolve::Forward(bool debug, const NetworkIO &input, const TransposedArray *input_transpose,
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56 NetworkScratch *scratch, NetworkIO *output) {
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57 output->Resize(input, no_);
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58 int y_scale = 2 * half_y_ + 1;
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59 StrideMap::Index dest_index(output->stride_map());
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60 do {
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61 // Stack x_scale groups of y_scale * ni_ inputs together.
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62 int t = dest_index.t();
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63 int out_ix = 0;
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64 for (int x = -half_x_; x <= half_x_; ++x, out_ix += y_scale * ni_) {
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65 StrideMap::Index x_index(dest_index);
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66 if (!x_index.AddOffset(x, FD_WIDTH)) {
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67 // This x is outside the image.
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68 output->Randomize(t, out_ix, y_scale * ni_, randomizer_);
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69 } else {
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70 int out_iy = out_ix;
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71 for (int y = -half_y_; y <= half_y_; ++y, out_iy += ni_) {
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72 StrideMap::Index y_index(x_index);
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73 if (!y_index.AddOffset(y, FD_HEIGHT)) {
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74 // This y is outside the image.
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75 output->Randomize(t, out_iy, ni_, randomizer_);
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76 } else {
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77 output->CopyTimeStepGeneral(t, out_iy, ni_, input, y_index.t(), 0);
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78 }
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79 }
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80 }
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81 }
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82 } while (dest_index.Increment());
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83 #ifndef GRAPHICS_DISABLED
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84 if (debug) {
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85 DisplayForward(*output);
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86 }
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87 #endif
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88 }
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89
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90 // Runs backward propagation of errors on the deltas line.
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91 // See NetworkCpp for a detailed discussion of the arguments.
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92 bool Convolve::Backward(bool debug, const NetworkIO &fwd_deltas, NetworkScratch *scratch,
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93 NetworkIO *back_deltas) {
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94 back_deltas->Resize(fwd_deltas, ni_);
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95 NetworkScratch::IO delta_sum;
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96 delta_sum.ResizeFloat(fwd_deltas, ni_, scratch);
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97 delta_sum->Zero();
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98 int y_scale = 2 * half_y_ + 1;
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99 StrideMap::Index src_index(fwd_deltas.stride_map());
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100 do {
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101 // Stack x_scale groups of y_scale * ni_ inputs together.
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102 int t = src_index.t();
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103 int out_ix = 0;
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104 for (int x = -half_x_; x <= half_x_; ++x, out_ix += y_scale * ni_) {
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105 StrideMap::Index x_index(src_index);
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106 if (x_index.AddOffset(x, FD_WIDTH)) {
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107 int out_iy = out_ix;
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108 for (int y = -half_y_; y <= half_y_; ++y, out_iy += ni_) {
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109 StrideMap::Index y_index(x_index);
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110 if (y_index.AddOffset(y, FD_HEIGHT)) {
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111 fwd_deltas.AddTimeStepPart(t, out_iy, ni_, delta_sum->f(y_index.t()));
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112 }
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113 }
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114 }
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115 }
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116 } while (src_index.Increment());
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117 back_deltas->CopyAll(*delta_sum);
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118 return true;
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119 }
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120
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121 } // namespace tesseract.