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import collections
import json
import os
import datasets
_DESCRIPTION = """
"""
_HOMEPAGE = ""
_LICENSE = ""
_URL = "https://huggingface.co/datasets/alexrods/mini_car_bikes_detection/resolve/main"
_URLS = {
"train_images": f"{_URL}/data/train.zip",
"test_images": f"{_URL}/data/test.zip",
}
_ANNOTATIONS = {
"train_annotations": f"{_URL}/annotations/train_annotations.json",
"test_annotations": f"{_URL}/annotations/test_annotations.json"
}
_CATEGORIES = ['Car', 'bike']
class MiniCarBikesDetection(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("1.0.0")
def _info(self):
features = datasets.Features(
{
"image": datasets.Image(),
"image_name": datasets.Value("string"),
"width": datasets.Value("int32"),
"height": datasets.Value("int32"),
"objects": datasets.Sequence(
{
# "id": datasets.Sequence(datasets.Value("int32")),
"category": datasets.ClassLabel(names=_CATEGORIES),
"bbox": datasets.Sequence(datasets.Value("float32"), length=4),
}
),
}
)
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
homepage=_HOMEPAGE,
license=_LICENSE,
)
def _split_generators(self, dl_manager):
data_files = dl_manager.download(_URLS)
annotations_files = _ANNOTATIONS
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"image_files": dl_manager.iter_archive(data_files["train_images"]),
"annotations_file": annotations_files["train_annotations"]
},
),
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={
"image_files": dl_manager.iter_archive(data_files["test_images"]),
"annotations_file": annotations_files["test_annotations"]
},
),
]
def _generate_examples(self, image_files, annotations_file):
with open(annotations_file) as jf:
annotations = json.load(jf)
for image_file in image_files:
image_name = image_file[0].split("/")[1]
for annotation in annotations:
if image_name == annotation["image"]:
yield image_file[0], {
"image": {"path": image_file[0], "bytes": image_file[1].read()},
"image_name": image_name,
"width": annotation["width"],
"height": annotation["height"],
"objects": {
"category": annotation["name"],
"bbox": annotation["bbox"]
}
}
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