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/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
*
* 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.
*/
/**
* @file ImageClassifier.h
* @brief This file contains ImageClassifier class and Recognition structure
* @ingroup COM_AI_RUNTIME
*/
#ifndef __TFLITE_CLASSIFY_IMAGE_CLASSIFIER_H__
#define __TFLITE_CLASSIFY_IMAGE_CLASSIFIER_H__
#include "InferenceInterface.h"
#include <iostream>
#include <string>
#include <vector>
#include <opencv2/opencv.hpp>
/**
* @brief struct to define an immutable result returned by a Classifier
*/
struct Recognition
{
public:
/**
* @brief Construct a new Recognition object with confidence and title
* @param[in] _confidence A sortable score for how good the recognition is relative to others.
* Higher should be better.
* @param[in] _title Display name for the recognition
*/
Recognition(float _confidence, std::string _title) : confidence(_confidence), title(_title) {}
float confidence; /** A sortable score for how good the recognition is relative to others. Higher
should be better. */
std::string title; /** Display name for the recognition */
};
/**
* @brief Class to define a classifier specialized to label images
*/
class ImageClassifier
{
public:
/**
* @brief Construct a new ImageClassifier object with parameters
* @param[in] model_file The filepath of the model FlatBuffer protocol buffer
* @param[in] label_file The filepath of label file for classes
* @param[in] input_size The input size. A square image of input_size x input_size is assumed
* @param[in] image_mean The assumed mean of the image values
* @param[in] image_std The assumed std of the image values
* @param[in] input_name The label of the image input node
* @param[in] output_name The label of the output node
* @param[in] use_nnapi The flag to distinguish between TfLite interpreter and NNFW runtime
*/
ImageClassifier(const std::string &model_file, const std::string &label_file,
const int input_size, const int image_mean, const int image_std,
const std::string &input_name, const std::string &output_name,
const bool use_nnapi);
/**
* @brief Recognize the given image data
* @param[in] image The image data to recognize
* @return An immutable result vector array
*/
std::vector<Recognition> recognizeImage(const cv::Mat &image);
private:
const float _threshold = 0.1f;
const unsigned int _max_results = 3;
std::unique_ptr<InferenceInterface> _inference;
int _input_size;
int _image_mean;
int _image_std;
std::string _input_name;
std::string _output_name;
std::vector<std::string> _labels;
std::vector<float> _fdata;
std::vector<float> _outputs;
int _num_classes;
};
#endif // __TFLITE_CLASSIFY_IMAGE_CLASSIFIER_H__
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