detoxai.datasets.catalog

Submodules

detoxai.datasets.catalog.download submodule

detoxai.datasets.catalog.download.gdown_download(url, output, quiet=False)[source]
Parameters:

  • url

  • output

  • quiet – (Default value = False)

Returns:

detoxai.datasets.catalog.download.curl_download(url, output, quiet=False)[source]
Parameters:

  • url

  • output

  • quiet – (Default value = False)

Returns:

detoxai.datasets.catalog.download.download_stuff(folder, links, tmp_dir)[source]
Parameters:

  • folder

  • links

  • tmp_dir

Returns:

detoxai.datasets.catalog.download.run_handler(folder, dir_path, tmp_dir)[source]
Parameters:

  • folder

  • dir_path

  • tmp_dir

Returns:

detoxai.datasets.catalog.download.download_datasets(datasets: List[str], dataset_path: str | Path = '/home/docs/.detoxai/datasets') → None[source]

Downloads datasets from the list and save them in directory specified by dataset_path.

Parameters:

  • datasets (-) – List of datasets to download e.g., [‘celeba’, ‘fairface’]

  • dataset_path (-) – Path to save the datasets.

  • datasets – List[str]:

  • dataset_path – Union[str:

  • Path] – (Default value = DETOXAI_DATASET_PATH)

Returns:

detoxai.datasets.catalog.torchvision_utils submodule

detoxai.datasets.catalog.torchvision_utils.create_structure2(train_dataset, test_dataset, base_dir, data_dir) → None[source]
Parameters:

  • train_dataset

  • test_dataset

  • base_dir

  • data_dir

Returns:

detoxai.datasets.catalog.torchvision_utils.create_structure(train_dataset, base_dir, data_dir) → None[source]
Parameters:

  • train_dataset

  • base_dir

  • data_dir

Returns:

Module contents