Function mindspore::dataset::Manifest
Defined in File datasets.h
Function Documentation
Function to create a ManifestDataset.
Note
The generated dataset has two columns [“image”, “label”].
- Parameters
dataset_file – [in] The dataset file to be read.
usage – [in] Part of dataset of ManifestDataset, can be “train”, “eval” or “inference” data (default=”train”).
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()).class_indexing – [in] A str-to-int mapping from label name to index (default={}, the folder names will be sorted alphabetically and each class will be given a unique index starting from 0).
decode – [in] Decode the images after reading (default=false).
cache – [in] Tensor cache to use (default=nullptr which means no cache is used).
- Returns
Shared pointer to the ManifestDataset.
样例/* Define dataset path and MindData object */ std::string file_path = "/path/to/manifest_file"; std::shared_ptr<Dataset> ds = Manifest(file_path); /* 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 Manifest dataset, each data dictionary has keys "image" and "label" */ auto image = row["image"];