Datasets:

alkzar90
/

rock-glacier-dataset

	# Copyright 2022 Cristóbal Alcázar
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing, software
	# distributed under the License is distributed on an "AS IS" BASIS,
	# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
	# See the License for the specific language governing permissions and
	# limitations under the License.
	"""Rock Glacier dataset with images of the chilean andes."""

	import os
	import re

	import datasets
	from datasets.tasks import ImageClassification

	#datasets.logging.set_verbosity_debug()
	#datasets.logging.set_verbosity_info()
	#logger = datasets.logging.get_logger(__name__)


	_HOMEPAGE = "https://github.com/alcazar90/rock-glacier-detection"


	_CITATION = """\
	@ONLINE {rock-glacier-dataset,
	author="CMM-Glaciares",
	title="Rock Glacier Dataset",
	month="October",
	year="2022",
	url="https://github.com/alcazar90/rock-glacier-detection"
	}
	"""

	_DESCRIPTION = """\
	TODO: Add a description...
	"""


	_URLS = {
	"train": "https://huggingface.co/datasets/alkzar90/rock-glacier-dataset/resolve/main/data/data_v01/train.zip",
	"validation": "https://huggingface.co/datasets/alkzar90/rock-glacier-dataset/resolve/main/data/data_v01/val.zip",
	"test": "https://huggingface.co/datasets/alkzar90/rock-glacier-dataset/resolve/main/data/data_v01/test.zip",
	}

	_CORDILLERA_DEFAULT_MASK = "https://huggingface.co/datasets/alkzar90/rock-glacier-dataset/resolve/main/data/data_v01/zeros.png"

	_NAMES = ["cordillera", "glaciar"]


	class RockGlacierConfig(datasets.BuilderConfig):
	def __init__(self, name, **kwargs):
	super(RockGlacierConfig, self).__init__(
	version=datasets.Version("1.0.0"),
	name=name,
	description="Rock Glacier Dataset",
	**kwargs,
	)


	class RockGlacierDataset(datasets.GeneratorBasedBuilder):
	"""Rock Glacier images dataset."""

	BUILDER_CONFIGS = [
	RockGlacierConfig("image-classification"),
	RockGlacierConfig("image-segmentation"),
	]

	def _info(self):
	if self.config.name == "image-classification":
	features = datasets.Features({
	"image": datasets.Image(),
	"labels": datasets.features.ClassLabel(names=_NAMES),
	"path": datasets.Value("string"),
	})
	keys = ("image", "labels")

	if self.config.name == "image-segmentation":
	features = datasets.Features({
	"image": datasets.Image(),
	"masks": datasets.Image(),
	"path": datasets.Value("string"),
	})
	keys = ("image", "masks")


	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=features,
	supervised_keys=keys,
	homepage=_HOMEPAGE,
	citation=_CITATION,
	)


	def _split_generators(self, dl_manager):
	data_files = dl_manager.download_and_extract(_URLS)
	splits = [
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN,
	gen_kwargs={
	"files": dl_manager.iter_files([data_files["train"]]),
	"split": "training",
	},
	),
	datasets.SplitGenerator(
	name=datasets.Split.VALIDATION,
	gen_kwargs={
	"files": dl_manager.iter_files([data_files["validation"]]),
	"split": "validation",
	},
	),
	datasets.SplitGenerator(
	name=datasets.Split.TEST,
	gen_kwargs={
	"files": dl_manager.iter_files([data_files["test"]]),
	"split": "test",
	},
	),
	]

	if self.config.name == "image-classification":
	return splits

	if self.config.name == "image-segmentation":
	return splits


	def _generate_examples(self, files, split):

	if self.config.name == "image-classification":
	for i, path in enumerate(files):
	file_name = os.path.basename(path)
	dir_name = os.path.basename(os.path.dirname(path)).lower()
	if dir_name != "masks" and file_name.endswith(".png"):
	yield i, {
	"image": path,
	"labels": dir_name,
	"path": "/".join(path.split("/")[-3:]),
	}

	if self.config.name == "image-segmentation":
	for i, path in enumerate(files):
	file_name = os.path.basename(path)
	dir_name = os.path.basename(os.path.dirname(path)).lower()
	if dir_name == "glaciar" and file_name.endswith(".png"):
	yield i, {
	"image": path,
	"masks": path.replace(dir_name, "masks"),
	"path": "/".join(path.split("/")[-3:]),
	}
	elif dir_name == "cordillera" and file_name.endswith(".png"):
	yield i, {
	"image": path,
	"masks": _CORDILLERA_DEFAULT_MASK,
	"path": "/".join(path.split("/")[-3:]),
	}