Function mindspore::dataset::LSUN
Defined in File datasets.h
Function Documentation
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
orall
(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.
Example/* 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"];