File size: 2,887 Bytes
1343513 9983dd6 1343513 db8a932 1343513 abca71d 1343513 abca71d 1343513 abca71d 1343513 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 |
# coding=utf-8
import os
from dataclasses import dataclass
import datasets
from datasets.tasks import ImageClassification
_HOMEPAGE = "TODO"
_CITATION = """\
TODO
"""
_DESCRIPTION = """\
TODO
"""
_URL = "https://huggingface.co/datasets/HugsVision/SkinDisease/resolve/main/skin-disease-datasaet.zip"
@dataclass
class CustomConfig(datasets.BuilderConfig):
name: str = None
version: datasets.Version = None
description: str = None
schema: str = None
subset_id: str = None
class SkinDisease(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("1.0.1")
BUILDER_CONFIGS = [
CustomConfig(
name="default",
version=VERSION,
description="Skin Disease datasets.",
schema="default",
subset_id="default",
),
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"image_file_path": datasets.Value("string"),
"image": datasets.Image(),
"labels": datasets.features.ClassLabel(names=["BA-cellulitis","BA-impetigo","FU-athlete-foot","FU-nail-fungus","FU-ringworm","PA-cutaneous-larva-migrans","VI-chickenpox","VI-shingles"]),
}
),
supervised_keys=("image", "labels"),
homepage=_HOMEPAGE,
citation=_CITATION,
task_templates=[ImageClassification(image_column="image", label_column="labels")],
)
def _split_generators(self, dl_manager):
data_dir = dl_manager.download_and_extract(_URL)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"data_dir": os.path.join(data_dir, "train_set"),
},
),
datasets.SplitGenerator(
name=datasets.Split.VALIDATION,
gen_kwargs={
"data_dir": os.path.join(data_dir, "validation_set"),
},
),
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={
"data_dir": os.path.join(data_dir, "test_set"),
},
),
]
def _generate_examples(self, data_dir):
idx = 0
for class_name in os.listdir(data_dir):
class_name_path = os.path.join(data_dir, class_name)
for file_name in os.listdir(class_name_path):
file_path = os.path.join(class_name_path, file_name)
idx += 1
yield idx, {
"image_file_path": file_path,
"image": file_path,
"labels": class_name,
}
|