| import os | |
| import datasets | |
| import PIL | |
| from datasets import DownloadManager, DatasetInfo | |
| _DESCRIPTION = """\ | |
| FBAnimeHQ is a dataset with high-quality full-body anime girl images in a resolution of 1024 × 512. | |
| """ | |
| _HOMEPAGE = "https://huggingface.co/datasets/skytnt/fbanimehq" | |
| _URL_BASE = "https://huggingface.co/datasets/skytnt/fbanimehq/resolve/main/data/" | |
| _URLS = [ | |
| _URL_BASE + "fbanimehq-00.zip", | |
| _URL_BASE + "fbanimehq-01.zip", | |
| _URL_BASE + "fbanimehq-02.zip", | |
| _URL_BASE + "fbanimehq-03.zip", | |
| _URL_BASE + "fbanimehq-04.zip", | |
| ] | |
| class FBAnimeHQ(datasets.GeneratorBasedBuilder): | |
| def _info(self) -> DatasetInfo: | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "image": datasets.Image(), | |
| } | |
| ), | |
| supervised_keys=None, | |
| homepage=_HOMEPAGE, | |
| citation="", | |
| ) | |
| def _split_generators(self, dl_manager: DownloadManager): | |
| downloaded_files = dl_manager.download_and_extract(_URLS) | |
| return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files})] | |
| def _generate_examples(self, filepath): | |
| for path in filepath: | |
| all_fnames = {os.path.relpath(os.path.join(root, fname), start=path) | |
| for root, _dirs, files in os.walk(path) for fname in files} | |
| image_fnames = sorted(fname for fname in all_fnames | |
| if os.path.splitext(fname)[1].lower() in PIL.Image.EXTENSION) | |
| for image_fname in image_fnames: | |
| yield image_fname, {"image": os.path.join(path, image_fname)} | |