Datasets:
Tasks:
Image Segmentation
Sub-tasks:
semantic-segmentation
Size Categories:
10K<n<100K
Source Datasets:
original
License:
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"))} | |