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import collections
import json
import os
import datasets
ANNOTATION_FILENAME = "_annotations.coco.json"
class StorageBuilderConfig(datasets.BuilderConfig):
def __init__(self, data_urls, **kwargs):
super(StorageBuilderConfig, self).__init__(**kwargs)
self.data_urls = data_urls
class StorageBuilder(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
StorageBuilderConfig(name="storage_builder", data_urls={"train": "./storage_builder/data/train"}),
]
def _info(self):
features = datasets.Features(
{
"image_id": datasets.Value("int64"),
"image": datasets.Image(),
"width": datasets.Value("int32"),
"height": datasets.Value("int32"),
"objects": datasets.Sequence(
{
"id": datasets.Value("int64"),
"area": datasets.Value("int64"),
"bbox": datasets.Sequence(datasets.Value("float32"), length=4),
"category": datasets.Value("string")
}
)
}
)
return datasets.DatasetInfo(features=features)
def _split_generators(self, dl_manager):
print(self.config.data_urls)
# data_files = dl_manager.download_and_extract(self.config.data_urls)
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"folder_dir": self.config.data_urls["train"]})
# datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"folder_dir": data_files["validation"]}),
# datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"folder_dir": data_files["test"]})
]
def _generate_examples(self, folder_dir):
def process_annot(annot, category_id_to_category):
return {"id": annot["id"], "area": annot["area"], "bbox": annot["bbox"], "category": annot["category_id"]}
image_id_to_image = {}
idx = 0
annotation_filepath = os.path.join(folder_dir, ANNOTATION_FILENAME)
with open(annotation_filepath, "r") as f:
annotations = json.load(f)
category_id_to_category = {category["id"]: category["name"] for category in annotations["categories"]}
image_id_to_annotations = collections.defaultdict(list)
for annot in annotations["annotations"]:
image_id_to_annotations[annot["image_id"]].append(annot)
filename_to_image = {image["file_name"]: image for image in annotations["images"]}
for filename in os.listdir(folder_dir):
filepath = os.path.join(folder_dir, filename)
if filename in filename_to_image:
image = filename_to_image[filename]
with open(filepath, "rb") as f:
image_bytes = f.read()
objects = [process_annot(annot, category_id_to_category) for annot in image_id_to_annotations[image["id"]]]
yield idx, {"image_id": image["id"], "image": {"path": filepath, "bytes": image_bytes}, "height": image["height"], "width": image["width"], "objects": objects}
idx += 1 |