| 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)
|
|
|
| return [
|
| datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"folder_dir": self.config.data_urls["train"]})
|
|
|
|
|
| ]
|
|
|
| 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 |
