Class Places365Dataset

Inheritance Relationships

Base Type

Class Documentation

class Places365Dataset : public mindspore::dataset::Dataset

A source dataset that reads and parses Places365 dataset.

Public Functions

Places365Dataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, bool small, bool decode, const std::shared_ptr<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache)

Constructor of Places365Dataset.

Parameters

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

  • usage – [in] Dataset splits of Places365, can be train-standard, train-challenge or val.

  • small – [in] Use the small images instead of the high resolution ones.

  • decode – [in] Decode the images after reading.

  • 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.

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

Places365Dataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, bool small, bool decode, const Sampler *sampler, const std::shared_ptr<DatasetCache> &cache)

Constructor of Places365Dataset.

Parameters

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

  • usage – [in] Dataset splits of Places365, can be train-standard, train-challenge or val.

  • small – [in] Use the small images instead of the high resolution ones.

  • decode – [in] Decode the images after reading.

  • sampler – [in] Raw pointer to a sampler object used to choose samples from the dataset.

  • cache – [in] Tensor cache to use.

Places365Dataset(const std::vector<char> &dataset_dir, const std::vector<char> &usage, bool small, bool decode, const std::reference_wrapper<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache)

Constructor of Places365Dataset.

Parameters

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

  • usage – [in] Dataset splits of Places365, can be train-standard, train-challenge or val.

  • small – [in] Use the small images instead of the high resolution ones.

  • decode – [in] Decode the images after reading.

  • sampler – [in] Sampler object used to choose samples from the dataset.

  • cache – [in] Tensor cache to use.

~Places365Dataset() override = default

Destructor of Places365Dataset.