Datasets:
Tasks:
Image Segmentation
Sub-tasks:
semantic-segmentation
Size Categories:
10K<n<100K
Source Datasets:
original
License:
File size: 3,096 Bytes
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import os
import datasets
from datasets import DownloadManager, DatasetInfo
_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/"
_EXTENSION = [".png", ".jpg"]
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 _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(os.path.join(path, "imgs")) for fname in files}
image_fnames = sorted(fname for fname in all_fnames if os.path.splitext(fname)[1].lower() in _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"))}
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