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>>>>> tag v1.26.5+1 for changeset b74429b0f5c4
author Franz Glasner <fzglas.hg@dom66.de>
date Sat, 11 Oct 2025 17:17:30 +0200
parents b50eed0cc0ef
children
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1 ///////////////////////////////////////////////////////////////////////
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2 // File: series.h
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3 // Description: Runs networks in series on the same input.
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4 // Author: Ray Smith
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5 //
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6 // (C) Copyright 2013, 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_SERIES_H_
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19 #define TESSERACT_LSTM_SERIES_H_
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21 #include "plumbing.h"
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23 namespace tesseract {
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25 // Runs two or more networks in series (layers) on the same input.
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26 class Series : public Plumbing {
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27 public:
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28 // ni_ and no_ will be set by AddToStack.
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29 TESS_API
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30 explicit Series(const std::string &name);
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31 ~Series() override = default;
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33 // Returns the shape output from the network given an input shape (which may
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34 // be partially unknown ie zero).
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35 StaticShape OutputShape(const StaticShape &input_shape) const override;
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37 std::string spec() const override {
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38 std::string spec("[");
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39 for (auto &it : stack_) {
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40 spec += it->spec();
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41 }
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42 spec += "]";
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43 return spec;
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44 }
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46 // Sets up the network for training. Initializes weights using weights of
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47 // scale `range` picked according to the random number generator `randomizer`.
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48 // Returns the number of weights initialized.
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49 int InitWeights(float range, TRand *randomizer) override;
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50 // Recursively searches the network for softmaxes with old_no outputs,
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51 // and remaps their outputs according to code_map. See network.h for details.
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52 int RemapOutputs(int old_no, const std::vector<int> &code_map) override;
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54 // Sets needs_to_backprop_ to needs_backprop and returns true if
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55 // needs_backprop || any weights in this network so the next layer forward
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56 // can be told to produce backprop for this layer if needed.
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57 bool SetupNeedsBackprop(bool needs_backprop) override;
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58
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59 // Returns an integer reduction factor that the network applies to the
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60 // time sequence. Assumes that any 2-d is already eliminated. Used for
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61 // scaling bounding boxes of truth data.
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62 // WARNING: if GlobalMinimax is used to vary the scale, this will return
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63 // the last used scale factor. Call it before any forward, and it will return
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64 // the minimum scale factor of the paths through the GlobalMinimax.
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65 int XScaleFactor() const override;
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66
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67 // Provides the (minimum) x scale factor to the network (of interest only to
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68 // input units) so they can determine how to scale bounding boxes.
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69 void CacheXScaleFactor(int factor) override;
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70
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71 // Runs forward propagation of activations on the input line.
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72 // See Network for a detailed discussion of the arguments.
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73 void Forward(bool debug, const NetworkIO &input, const TransposedArray *input_transpose,
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74 NetworkScratch *scratch, 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, NetworkScratch *scratch,
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79 NetworkIO *back_deltas) override;
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80
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81 // Splits the series after the given index, returning the two parts and
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82 // deletes itself. The first part, up to network with index last_start, goes
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83 // into start, and the rest goes into end.
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84 TESS_API
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85 void SplitAt(unsigned last_start, Series **start, Series **end);
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86
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87 // Appends the elements of the src series to this, removing from src and
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88 // deleting it.
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89 TESS_API
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90 void AppendSeries(Network *src);
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91 };
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92
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93 } // namespace tesseract.
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94
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95 #endif // TESSERACT_LSTM_SERIES_H_