/usr/include/tesseract/shapeclassifier.h is in libtesseract-dev 3.02.01-2.
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// Author: rays@google.com (Ray Smith)
///////////////////////////////////////////////////////////////////////
// File: shapeclassifier.h
// Description: Base interface class for classifiers that return a
// shape index.
// Author: Ray Smith
// Created: Tue Sep 13 11:26:32 PDT 2011
//
// (C) Copyright 2011, Google Inc.
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
// http://www.apache.org/licenses/LICENSE-2.0
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
///////////////////////////////////////////////////////////////////////
#ifndef TESSERACT_CLASSIFY_SHAPECLASSIFIER_H_
#define TESSERACT_CLASSIFY_SHAPECLASSIFIER_H_
template <typename T> class GenericVector;
struct Pix;
namespace tesseract {
class ShapeTable;
class TrainingSample;
// Classifier result from a low-level classification is an index into some
// ShapeTable and a rating.
struct ShapeRating {
ShapeRating() : shape_id(0), rating(0.0f), raw(0.0f), font(0.0f) {}
ShapeRating(int s, float r)
: shape_id(s), rating(r), raw(1.0f), font(0.0f) {}
// Sort function to sort ratings appropriately by descending rating.
static int SortDescendingRating(const void* t1, const void* t2) {
const ShapeRating* a = reinterpret_cast<const ShapeRating *>(t1);
const ShapeRating* b = reinterpret_cast<const ShapeRating *>(t2);
if (a->rating > b->rating) {
return -1;
} else if (a->rating < b->rating) {
return 1;
} else {
return a->shape_id - b->shape_id;
}
}
// Index into some shape table indicates the class of the answer.
int shape_id;
// Rating from classifier with 1.0 perfect and 0.0 impossible.
// Call it a probability if you must.
float rating;
// Subsidiary rating that a classifier may use internally.
float raw;
// Subsidiary rating that a classifier may use internally.
float font;
};
// Interface base class for classifiers that produce ShapeRating results.
class ShapeClassifier {
public:
virtual ~ShapeClassifier() {}
// Classifies the given [training] sample, writing to results.
// If page_pix is not NULL, the overriding function may call
// sample.GetSamplePix(padding, page_pix) to get an image of the sample
// padded (with real image data) by the given padding to extract features
// from the image of the character. Other members of TrainingSample:
// features(), micro_features(), cn_feature(), geo_feature() may be used
// to get the appropriate tesseract features.
// If debug is non-zero, then various degrees of classifier dependent debug
// information is provided.
// If keep_this (a shape index) is >= 0, then the results should always
// contain keep_this, and (if possible) anything of intermediate confidence.
// (Used for answering "Why didn't it get that right?" questions.)
// The return value is the number of classes saved in results.
// NOTE that overriding functions MUST clear results unless the classifier
// is working with a team of such classifiers.
virtual int ClassifySample(const TrainingSample& sample, Pix* page_pix,
int debug, int keep_this,
GenericVector<ShapeRating>* results) = 0;
// Provides access to the ShapeTable that this classifier works with.
virtual const ShapeTable* GetShapeTable() const = 0;
};
} // namespace tesseract.
#endif // TESSERACT_CLASSIFY_SHAPECLASSIFIER_H_
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