mv_machine_learning/image_classification/src/image_classification_adapter.cpp

   1 /**
   2  * Copyright (c) 2023 Samsung Electronics Co., Ltd All Rights Reserved
   3  *
   4  * Licensed under the Apache License, Version 2.0 (the "License");
   5  * you may not use this file except in compliance with the License.
   6  * You may obtain a copy of the License at
   7  *
   8  * http://www.apache.org/licenses/LICENSE-2.0
   9  *
  10  * Unless required by applicable law or agreed to in writing, software
  11  * distributed under the License is distributed on an "AS IS" BASIS,
  12  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13  * See the License for the specific language governing permissions and
  14  * limitations under the License.
  15  */
  16
  17 #include <string>
  18
  19 #include "machine_learning_exception.h"
  20 #include "mv_image_classification_config.h"
  21 #include "image_classification_adapter.h"
  22
  23 using namespace std;
  24 using namespace MediaVision::Common;
  25 using namespace mediavision::machine_learning;
  26 using namespace mediavision::machine_learning::exception;
  27
  28 namespace mediavision
  29 {
  30 namespace machine_learning
  31 {
  32 template<typename T, typename V> ImageClassificationAdapter<T, V>::ImageClassificationAdapter() : _source()
  33 {
  34         _image_classification = make_unique<ImageClassificationDefault>();
  35 }
  36
  37 template<typename T, typename V> ImageClassificationAdapter<T, V>::~ImageClassificationAdapter()
  38 {}
  39
  40 template<typename T, typename V> void ImageClassificationAdapter<T, V>::create(int type)
  41 {
  42         throw InvalidOperation("Interface not supported.");
  43 }
  44
  45 template<typename T, typename V> void ImageClassificationAdapter<T, V>::configure()
  46 {
  47         _image_classification->parseMetaFile();
  48         _image_classification->configure();
  49 }
  50
  51 template<typename T, typename V> void ImageClassificationAdapter<T, V>::prepare()
  52 {
  53         _image_classification->prepare();
  54 }
  55
  56 template<typename T, typename V> void ImageClassificationAdapter<T, V>::setInput(T &t)
  57 {
  58         _source = t;
  59
  60         if (!_source.model_file.empty() && !_source.meta_file.empty() && !_source.label_file.empty())
  61                 _image_classification->setUserModel(_source.model_file, _source.meta_file, _source.label_file);
  62 }
  63
  64 template<typename T, typename V> void ImageClassificationAdapter<T, V>::perform()
  65 {
  66         _image_classification->preprocess(_source.inference_src);
  67         _image_classification->inference(_source.inference_src);
  68 }
  69
  70 template<typename T, typename V> V &ImageClassificationAdapter<T, V>::getOutput()
  71 {
  72         return _image_classification->result();
  73 }
  74
  75 template class ImageClassificationAdapter<ImageClassificationInput, ImageClassificationResult>;
  76 }
  77 }