Function mindspore::dataset::CelebA
Defined in File datasets.h
Function Documentation
Function to create a CelebADataset.
Note
The generated dataset has two columns [‘image’, ‘attr’]. The type of the image tensor is uint8. The attr tensor is uint32 and one hot type.
- Parameters
dataset_dir – [in] Path to the root directory that contains the dataset.
usage – [in] One of “all”, “train”, “valid” or “test” (default = “all”).
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()).decode – [in] Decode the images after reading (default=false).
extensions – [in] Set of file extensions to be included in the dataset (default={}).
cache – [in] Tensor cache to use (default=nullptr which means no cache is used).
- Returns
Shared pointer to the CelebADataset.
样例/* Define dataset path and MindData object */ std::string folder_path = "/path/to/celeba_dataset_directory"; std::shared_ptr<Dataset> ds = CelebA(folder_path, "all", std::make_shared<SequentialSampler>(0, 5)); /* 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 CelebA dataset, each data dictionary owns keys "image" and "attr" */ auto image = row["image"];