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Replace GenericVector<ParamsTrainingHypothesis> by std::vector<ParamsTrainingHypothesis>

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This fixes an LGTM alert:

    This parameter of type ParamsTrainingHypothesis is 136 bytes -
    consider passing a const pointer/reference instead.

It might also improve the performance.

Signed-off-by: Stefan Weil <sw@weil.de>
This commit is contained in:
Stefan Weil 2020-12-30 12:20:25 +01:00
parent aacd8ec3cf
commit ebafb19a43
1 changed files with 3 additions and 4 deletions
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7
src/ccstruct/params_training_featdef.h
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@ -2,7 +2,6 @@
// File: params_training_featdef.h // File: params_training_featdef.h
// Description: Feature definitions for params training. // Description: Feature definitions for params training.
// Author: Rika Antonova // Author: Rika Antonova
// Created: Mon Nov 28 11:26:42 PDT 2011
// //
// (C) Copyright 2011, Google Inc. // (C) Copyright 2011, Google Inc.
// Licensed under the Apache License, Version 2.0 (the "License"); // Licensed under the Apache License, Version 2.0 (the "License");
@ -20,8 +19,8 @@
#ifndef TESSERACT_WORDREC_PARAMS_TRAINING_FEATDEF_H_ #ifndef TESSERACT_WORDREC_PARAMS_TRAINING_FEATDEF_H_
#define TESSERACT_WORDREC_PARAMS_TRAINING_FEATDEF_H_ #define TESSERACT_WORDREC_PARAMS_TRAINING_FEATDEF_H_
#include "genericvector.h"
#include "strngs.h" #include "strngs.h"
#include <vector>
namespace tesseract { namespace tesseract {
@ -124,7 +123,7 @@ struct ParamsTrainingHypothesis {
}; };
// A list of hypotheses explored during one run of segmentation search. // A list of hypotheses explored during one run of segmentation search.
using ParamsTrainingHypothesisList = GenericVector<ParamsTrainingHypothesis>; using ParamsTrainingHypothesisList = std::vector<ParamsTrainingHypothesis>;
// A bundle that accumulates all of the hypothesis lists explored during all // A bundle that accumulates all of the hypothesis lists explored during all
// of the runs of segmentation search on a word (e.g. a list of hypotheses // of the runs of segmentation search on a word (e.g. a list of hypotheses
@ -146,7 +145,7 @@ class ParamsTrainingBundle {
return hyp_list_vec.back().back(); return hyp_list_vec.back().back();
} }
GenericVector<ParamsTrainingHypothesisList> hyp_list_vec; std::vector<ParamsTrainingHypothesisList> hyp_list_vec;
}; };
} // namespace tesseract } // namespace tesseract