Delete anime_segmentation.py

anime_segmentation.py

@@ -1,76 +0,0 @@
-import os
-import datasets
-import PIL
-from datasets import DownloadManager, DatasetInfo, load_dataset
-
-_DESCRIPTION = """\
-A segmentation dataset for anime character
-"""
-_HOMEPAGE = "https://huggingface.co/datasets/skytnt/anime-segmentation"
-_URL_BASE = "https://huggingface.co/datasets/skytnt/anime-segmentation/resolve/main/data/"
-
-
-class AnimeSegmentationConfig(datasets.BuilderConfig):
-
-    def __init__(self, features, data_files, **kwargs):
-        super(AnimeSegmentationConfig, self).__init__(**kwargs)
-        self.features = features
-        self.data_files = data_files
-
-
-class AnimeSegmentation(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [
-        AnimeSegmentationConfig(
-            name="bg",
-            description="background",
-            features=["image"],
-            data_files=["bg-00.zip", "bg-01.zip", "bg-02.zip", "bg-03.zip", "bg-04.zip"]
-        ),
-        AnimeSegmentationConfig(
-            name="fg",
-            description="foreground",
-            features=["image"],
-            data_files=["fg-00.zip", "fg-01.zip", "fg-02.zip", "fg-03.zip", "fg-04.zip", "fg-05.zip"]
-        ),
-        AnimeSegmentationConfig(
-            name="imgs-masks",
-            description="real images and masks",
-            features=["image", "mask"],
-            data_files=["imgs-masks.zip"]
-        )
-    ]
-
-    def _info(self) -> DatasetInfo:
-
-        features = {feature: datasets.Image() for feature in self.config.features}
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(features),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            citation="",
-        )
-
-    def _split_generators(self, dl_manager: DownloadManager):
-        urls = [_URL_BASE + data_file for data_file in self.config.data_files]
-        dirs = dl_manager.download_and_extract(urls)
-        return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"dirs": dirs})]
-
-    def _generate_examples(self, dirs):
-        if self.config.name != "imgs-masks":
-            for path in dirs:
-                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)}
-        else:
-            path = dirs[0]
-            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 fname.startswith(
-                "imgs") and 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),
-                                    "mask": os.path.join(path, image_fname.replace("imgs", "masks"))}