fiftyone.zoo.datasets.base.HMDB51Dataset

class documentation

class HMDB51Dataset(FiftyOneDataset): (source)

HMDB51 is an action recognition dataset containing a total of 6,766 clips distributed across 51 action classes.

Example usage:

import fiftyone as fo
import fiftyone.zoo as foz

dataset = foz.load_zoo_dataset("hmdb51", split="test")

session = fo.launch_app(dataset)

Dataset size: 2.16 GB
Source: https://serre-lab.clps.brown.edu/resource/hmdb-a-large-human-motion-database

Parameters
fold	the test/train fold to use to arrange the files on disk. The supported values are `(1, 2, 3)`

Method	`__init__`	Undocumented
Instance Variable	`fold`	Undocumented
Property	`name`	The name of the dataset.
Property	`parameters`	An optional dict of parameters describing the configuration of the zoo dataset when it was downloaded.
Property	`supported_splits`	A tuple of supported splits for the dataset, or None if the dataset does not have splits.
Property	`tags`	A tuple of tags for the dataset.
Method	`_download_and_prepare`	Internal implementation of downloading the dataset and preparing it for use in the given directory.

Inherited from ZooDataset (via FiftyOneDataset):

Static Method	`get_info_path`	Returns the path to the `ZooDatasetInfo` for the dataset.
Static Method	`has_info`	Determines whether the directory contains `ZooDatasetInfo`.
Static Method	`load_info`	Loads the `ZooDatasetInfo` from the given dataset directory.
Method	`download_and_prepare`	Downloads the dataset and prepares it for use.
Method	`get_split_dir`	Returns the directory for the given split of the dataset.
Method	`has_split`	Whether the dataset has the given split.
Method	`has_tag`	Whether the dataset has the given tag.
Property	`has_patches`	Whether the dataset has patches that may need to be applied to already downloaded files.
Property	`has_splits`	Whether the dataset has splits.
Property	`has_tags`	Whether the dataset has tags.
Property	`importer_kwargs`	A dict of default kwargs to pass to this dataset's `fiftyone.utils.data.importers.DatasetImporter`.
Property	`is_remote`	Whether the dataset is remotely-sourced.
Property	`requires_manual_download`	Whether this dataset requires some files to be manually downloaded by the user before the dataset can be loaded.
Property	`supports_partial_downloads`	Whether the dataset supports downloading partial subsets of its splits.
Method	`_get_splits_to_download`	Undocumented
Method	`_is_dataset_ready`	Undocumented
Method	`_is_split_ready`	Undocumented
Method	`_patch_if_necessary`	Internal method called when an already downloaded dataset may need to be patched.

Undocumented

Undocumented

overrides fiftyone.zoo.datasets.ZooDataset.name

The name of the dataset.

overrides fiftyone.zoo.datasets.ZooDataset.parameters

An optional dict of parameters describing the configuration of the zoo dataset when it was downloaded.

overrides fiftyone.zoo.datasets.ZooDataset.supported_splits

A tuple of supported splits for the dataset, or None if the dataset does not have splits.

overrides fiftyone.zoo.datasets.ZooDataset.tags

A tuple of tags for the dataset.

def _download_and_prepare(self, dataset_dir, scratch_dir, split): (source) ¶

overrides fiftyone.zoo.datasets.ZooDataset._download_and_prepare

Internal implementation of downloading the dataset and preparing it for use in the given directory.

Parameters
dataset_dir	the directory in which to construct the dataset. If a `split` is provided, this is the directory for the split
scratch_dir	a scratch directory to use to download and prepare any required intermediate files
split	the split to download, or None if the dataset does not have splits
Returns
tuple of	dataset_type: the `fiftyone.types.Dataset` type of the dataset num_samples: the number of samples in the split. For datasets that support partial downloads, this can be `None`, which indicates that all content was already downloaded classes: an optional list of class label strings