Class CityscapesDataset

• Defined in File datasets.h

Inheritance Relationships

Base Type

• public mindspore::dataset::Dataset (Class Dataset)

Class Documentation

class CityscapesDataset : public mindspore::dataset::Dataset

A source dataset for reading and parsing Cityscapes dataset.

Public Functions

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

Constructor of CityscapesDataset.

Parameters

• dataset_dir – [in] The dataset dir to be read.

• usage – [in] The type of dataset. Acceptable usages include “train”, “test”, “val” or “all” if quality_mode is “fine” otherwise “train”, “train_extra”, “val” or “all”.

• quality_mode – [in] The quality mode of processed image. Acceptable quality_modes include “fine” or “coarse”.

• task – [in] The type of task which is used to select output data. Acceptable tasks include “instance”, “semantic”, “polygon” or “color”.

• 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).

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

Constructor of CityscapesDataset.

Parameters

• dataset_dir – [in] The dataset dir to be read.

• usage – [in] The type of dataset. Acceptable usages include “train”, “test”, “val” or “all” if quality_mode is “fine” otherwise “train”, “train_extra”, “val” or “all”.

• quality_mode – [in] The quality mode of processed image. Acceptable quality_modes include “fine” or “coarse”.

• task – [in] The type of task which is used to select output data. Acceptable tasks include “instance”, “semantic”, “polygon” or “color”.

• 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. (default=nullptr which means no cache is used).

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

Constructor of CityscapesDataset.

Parameters

• dataset_dir – [in] The dataset dir to be read.

• usage – [in] The type of dataset. Acceptable usages include “train”, “test”, “val” or “all” if quality_mode is “fine” otherwise “train”, “train_extra”, “val” or “all”.

• quality_mode – [in] The quality mode of processed image. Acceptable quality_modes include “fine” or “coarse”.

• task – [in] The type of task which is used to select output data. Acceptable tasks include “instance”, “semantic”, “polygon” or “color”.

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

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

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

~CityscapesDataset() = default

Destructor of CityscapesDataset.