Function mindspore::dataset::EMnist
Defined in File datasets.h
Function Documentation
Function to create a EMnistDataset.
Note
The generated dataset has two columns [“image”, “label”].
- Parameters
dataset_dir – [in] Path to the root directory that contains the dataset.
name – [in] Name of splits for EMNIST, can be “byclass”, “bymerge”, “balanced”, “letters”, “digits” or “mnist”.
usage – [in] Usage of EMNIST, can be “train”, “test” or “all” (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()).cache – [in] Tensor cache to use. (default=nullptr which means no cache is used).
- Returns
Shared pointer to the current EMnistDataset.
Example/* Define dataset path and MindData object */ std::string folder_path = "/path/to/emnist_dataset_directory"; std::shared_ptr<Dataset> ds = EMnist(folder_path, "mnist", "train", std::make_shared<RandomSampler>(false, 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 EMNIST dataset dataset, each dictionary has keys "image" and "label" */ auto image = row["image"];