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1 /**
2  * Copyright 2020 Huawei Technologies Co., Ltd
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 #ifndef MINDSPORE_CCSRC_MINDDATA_DATASET_ENGINE_IR_DATASETOPS_SOURCE_IMAGE_FOLDER_NODE_H_
18 #define MINDSPORE_CCSRC_MINDDATA_DATASET_ENGINE_IR_DATASETOPS_SOURCE_IMAGE_FOLDER_NODE_H_
19 
20 #include <map>
21 #include <memory>
22 #include <set>
23 #include <string>
24 #include <vector>
25 
26 #include "mindspore/ccsrc/minddata/dataset/engine/ir/cache/dataset_cache.h"
27 #include "minddata/dataset/engine/ir/datasetops/dataset_node.h"
28 
29 namespace mindspore {
30 namespace dataset {
31 /// \class ImageFolderNode
32 /// \brief A Dataset derived class to represent ImageFolder dataset
33 class ImageFolderNode : public MappableSourceNode {
34  public:
35 #ifdef ENABLE_PYTHON
36   /// \brief Constructor
37   ImageFolderNode(std::string dataset_dir, bool decode, std::shared_ptr<SamplerObj> sampler, bool recursive,
38                   std::set<std::string> extensions, std::map<std::string, int32_t> class_indexing,
39                   std::shared_ptr<DatasetCache> cache, py::function decrypt = py::none());
40 #else
41   /// \brief Constructor
42   ImageFolderNode(std::string dataset_dir, bool decode, std::shared_ptr<SamplerObj> sampler, bool recursive,
43                   std::set<std::string> extensions, std::map<std::string, int32_t> class_indexing,
44                   std::shared_ptr<DatasetCache> cache);
45 #endif
46   /// \brief Destructor
47   ~ImageFolderNode() override = default;
48 
49   /// \brief Node name getter
50   /// \return Name of the current node
Name()51   std::string Name() const override { return kImageFolderNode; }
52 
53   /// \brief Print the description
54   /// \param out - The output stream to write output to
55   void Print(std::ostream &out) const override;
56 
57   /// \brief Copy the node to a new object
58   /// \return A shared pointer to the new copy
59   std::shared_ptr<DatasetNode> Copy() override;
60 
61   /// \brief a base class override function to create the required runtime dataset op objects for this class
62   /// \param node_ops - A vector containing shared pointer to the Dataset Ops that this object will create
63   /// \return Status Status::OK() if build successfully
64   Status Build(std::vector<std::shared_ptr<DatasetOp>> *const node_ops) override;
65 
66   /// \brief Parameters validation
67   /// \return Status Status::OK() if all the parameters are valid
68   Status ValidateParams() override;
69 
70   /// \brief Get the shard id of node
71   /// \return Status Status::OK() if get shard id successfully
72   Status GetShardId(int32_t *shard_id) override;
73 
74   /// \brief Base-class override for GetDatasetSize
75   /// \param[in] size_getter Shared pointer to DatasetSizeGetter
76   /// \param[in] estimate This is only supported by some of the ops and it's used to speed up the process of getting
77   ///     dataset size at the expense of accuracy.
78   /// \param[out] dataset_size the size of the dataset
79   /// \return Status of the function
80   Status GetDatasetSize(const std::shared_ptr<DatasetSizeGetter> &size_getter, bool estimate,
81                         int64_t *dataset_size) override;
82 
83   /// \brief Getter functions
DatasetDir()84   const std::string &DatasetDir() const { return dataset_dir_; }
Decode()85   bool Decode() const { return decode_; }
Recursive()86   bool Recursive() const { return recursive_; }
ClassIndexing()87   const std::map<std::string, int32_t> &ClassIndexing() const { return class_indexing_; }
Exts()88   const std::set<std::string> &Exts() const { return exts_; }
89 
90   /// \brief Get the arguments of node
91   /// \param[out] out_json JSON string of all attributes
92   /// \return Status of the function
93   Status to_json(nlohmann::json *out_json) override;
94 
95 #ifndef ENABLE_ANDROID
96   /// \brief Function to read dataset in json
97   /// \param[in] json_obj The JSON object to be deserialized
98   /// \param[out] ds Deserialized dataset
99   /// \return Status The status code returned
100   static Status from_json(nlohmann::json json_obj, std::shared_ptr<DatasetNode> *ds);
101 #endif
102 
103   /// \brief Sampler getter
104   /// \return SamplerObj of the current node
Sampler()105   std::shared_ptr<SamplerObj> Sampler() override { return sampler_; }
106 
107   /// \brief Sampler setter
SetSampler(std::shared_ptr<SamplerObj> sampler)108   void SetSampler(std::shared_ptr<SamplerObj> sampler) override { sampler_ = sampler; }
109 
110  private:
111   std::string dataset_dir_;
112   bool decode_;
113   bool recursive_;
114   std::shared_ptr<SamplerObj> sampler_;
115   std::map<std::string, int32_t> class_indexing_;
116   std::set<std::string> exts_;
117 #ifdef ENABLE_PYTHON
118   py::function decrypt_;
119 #endif
120 };
121 }  // namespace dataset
122 }  // namespace mindspore
123 #endif  // MINDSPORE_CCSRC_MINDDATA_DATASET_ENGINE_IR_DATASETOPS_SOURCE_IMAGE_FOLDER_NODE_H_
124