Class DIV2KDataset
Defined in File datasets.h
Inheritance Relationships
Base Type
public mindspore::dataset::Dataset
(Class Dataset)
Class Documentation
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class DIV2KDataset : public mindspore::dataset::Dataset
A source dataset for reading and parsing DIV2K dataset.
Public Functions
Constructor of DIV2KDataset.
- Parameters
dataset_dir – [in] The dataset dir to be read.
usage – [in] The type of dataset. Acceptable usages include “train”, “valid” or “all”.
downgrade – [in] The mode of downgrade. Acceptable downgrades include “bicubic”, “unknown”, “mild”, “difficult” or “wild”.
scale – [in] The scale of downgrade. Acceptable scales include 2, 3, 4 or 8.
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.
Constructor of DIV2KDataset.
- Parameters
dataset_dir – [in] The dataset dir to be read.
usage – [in] The type of dataset. Acceptable usages include “train”, “valid” or “all”.
downgrade – [in] The mode of downgrade. Acceptable downgrades include “bicubic”, “unknown”, “mild”, “difficult” or “wild”.
scale – [in] The scale of downgrade. Acceptable scales include 2, 3, 4 or 8.
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.
Constructor of DIV2KDataset.
- Parameters
dataset_dir – [in] The dataset dir to be read.
usage – [in] The type of dataset. Acceptable usages include “train”, “valid” or “all”.
downgrade – [in] The mode of downgrade. Acceptable downgrades include “bicubic”, “unknown”, “mild”, “difficult” or “wild”.
scale – [in] The scale of downgrade. Acceptable scales include 2, 3, 4 or 8.
decode – [in] Decode the images after reading.
sampler – [in] Sampler object used to choose samples from the dataset.
cache – [in] Tensor cache to use.
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~DIV2KDataset() = default
Destructor of DIV2KDataset.