| import os |
| from datasets import DatasetInfo, GeneratorBasedBuilder, Split, Features, Image |
|
|
| class FFHQProxy(GeneratorBasedBuilder): |
| """FFHQ Proxy Dataset Loader""" |
|
|
| VERSION = "1.0.0" |
|
|
| def _info(self): |
| return DatasetInfo( |
| description="Proxy repository for FFHQ: facial upscaling and restoration reference dataset.", |
| homepage="https://github.com/NVlabs/ffhq-dataset", |
| license="creativeml-openrail-m", |
| features=Features({ |
| "low_quality": Image(), |
| "high_quality": Image() |
| }), |
| task_categories=["image-to-image"], |
| language=["en"], |
| ) |
|
|
| def _split_generators(self, dl_manager): |
| """Define splits (train/test)""" |
| data_dir = os.path.expanduser(dl_manager.download_and_extract("https://drive.google.com/drive/folders/1u2xu7bSrWxrbUxk-dT-UvEJq8IjdmNTP")) |
| return [ |
| self.SplitGenerator( |
| name=Split.TRAIN, |
| gen_kwargs={"images_dir": os.path.join(data_dir, "train")} |
| ), |
| ] |
|
|
| def _generate_examples(self, images_dir): |
| """Yield examples.""" |
| for idx, fname in enumerate(os.listdir(images_dir)): |
| if fname.endswith(".png") or fname.endswith(".jpg"): |
| low_quality_path = os.path.join(images_dir, fname) |
| high_quality_path = os.path.join(images_dir, "high_quality", fname) |
| yield idx, { |
| "low_quality": low_quality_path, |
| "high_quality": high_quality_path |
| } |
