Function mindspore::dataset::LSUN

Function Documentation

inline std::shared_ptr<LSUNDataset> mindspore::dataset::LSUN(const std::string &dataset_dir, const std::string &usage = "all", const std::vector<std::string> &classes = {}, bool decode = false, const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(), const std::shared_ptr<DatasetCache> &cache = nullptr)

Function to create a LSUNDataset.

Note

The generated dataset has two columns “image” and “label”.

Parameters
  • dataset_dir[in] Path to the root directory that contains the dataset.

  • usage[in] Dataset splits of LSUN, can be train, valid, test or all (Default=all).

  • classes[in] Classes list to load, such as ‘bedroom’, ‘classroom’ (Default={}, means load all classes).

  • decode[in] Decode the images after reading (Default=false).

  • sampler[in] Shared pointer to a sampler object used to choose samples from the dataset. If sampler is not given, a RandomSampler will be used to randomly iterate the entire dataset (Default = RandomSampler()).

  • cache[in] Tensor cache to use (Default=nullptr, which means no cache is used).

Returns

Shared pointer to the current LSUNDataset.

样例
/* Define dataset path and MindData object */
std::string folder_path = "/path/to/lsun_dataset_directory";
std::shared_ptr<Dataset> ds = LSUN(folder_path, "all");

/* Create iterator to read dataset */
std::shared_ptr<Iterator> iter = ds->CreateIterator();
std::unordered_map<std::string, mindspore::MSTensor> row;
iter->GetNextRow(&row);

/* Note: In LSUNDataset, each data dictionary has keys "image" and "label" */
auto image = row["image"];