Delete loading script

LADaS.py

@@ -1,115 +0,0 @@
-import glob
-import os
-import yaml
-import datasets
-from PIL import Image
-
-
-_VERSION = "2024-06-04"
-_URL = f"https://github.com/DEFI-COLaF/LADaS/archive/refs/tags/{_VERSION}.tar.gz"
-_HOMEPAGE = "https://github.com/DEFI-COLaF/LADaS"
-_LICENSE = "CC BY 4.0"
-_CITATION = """\
-@misc{Clerice_Layout_Analysis_Dataset,
-    author = {Clérice, Thibault and Janès, Juliette and Scheithauer, Hugo and Bénière, Sarah and Langlais, Pierre-Carl and Romary, Laurent and Sagot, Benoit and Bougrelle, Roxane},
-    title = {{Layout Analysis Dataset with SegmOnto (LADaS)}},
-    url = {https://github.com/DEFI-COLaF/LADaS}
-}
-"""
-
-_CATEGORIES = ['AdvertisementZone', 'DigitizationArtefactZone', 'DropCapitalZone', 'FigureZone', 'FigureZone-FigDesc', 'FigureZone-Head', 'GraphicZone', 'GraphicZone-Decoration', 'GraphicZone-FigDesc', 'GraphicZone-Head', 'GraphicZone-Maths', 'GraphicZone-Part', 'GraphicZone-TextualContent', 'MainZone-Date', 'MainZone-Entry', 'MainZone-Entry-Continued', 'MainZone-Form', 'MainZone-Head', 'MainZone-Lg', 'MainZone-Lg-Continued', 'MainZone-List', 'MainZone-List-Continued', 'MainZone-Other', 'MainZone-P', 'MainZone-P-Continued', 'MainZone-Signature', 'MainZone-Sp', 'MainZone-Sp-Continued', 'MarginTextZone-ManuscriptAddendum', 'MarginTextZone-Notes', 'MarginTextZone-Notes-Continued', 'NumberingZone', 'PageTitleZone', 'PageTitleZone-Index', 'QuireMarkZone', 'RunningTitleZone', 'StampZone', 'StampZone-Sticker', 'TableZone', 'TableZone-Continued', 'TableZone-Head']
-
-
-class LadasConfig(datasets.BuilderConfig):
-    """Builder Config for LADaS"""
-    def __init__(self, *args, **kwargs):
-        super().__init__(*args, **kwargs)
-
-
-class LadasDataset(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version(_VERSION.replace("-", "."))
-    BUILDER_CONFIGS = [
-        LadasConfig(
-            name="full",
-            description="Full version of the dataset"
-        )
-    ]
-
-    def _info(self) -> datasets.DatasetInfo:
-        features = datasets.Features({
-            "image_path": datasets.Value("string"),
-            "image": datasets.Image(),
-            # "width": datasets.Value("int32"),
-            # "height": datasets.Value("int32"),
-            "objects": datasets.Sequence(
-                {
-                    "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
-                    "category": datasets.ClassLabel(names=_CATEGORIES),
-                }
-            )
-        })
-        return datasets.DatasetInfo(
-            features=features,
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-            license=_LICENSE
-        )
-
-    def _split_generators(self, dl_manager):
-        urls_to_download = _URL
-        downloaded_files = dl_manager.download_and_extract(urls_to_download)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "local_dir": downloaded_files,
-                    "split": "train"
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "local_dir": downloaded_files,
-                    "split": "valid"
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "local_dir": downloaded_files,
-                    "split": "test"
-                },
-            ),
-        ]
-
-    def _generate_examples(self, local_dir: str, split: str):
-
-        idx = 0
-
-        for file in glob.glob(os.path.join(local_dir, "*", "data", "*", split, "labels", "*.txt")):
-            objects = []
-            with open(file) as f:
-                for line in f:
-                    cls, *bbox = line.strip().split()
-                    objects.append({"category": _CATEGORIES[int(cls)], "bbox": list(map(float, bbox))})
-
-            image_path = os.path.normpath(file).split(os.sep)
-            image_path = os.path.join(*image_path[:-2], "images", image_path[-1].replace(".txt", ".jpg"))
-            if file.startswith("/") and not image_path.startswith("/"):
-                image_path = "/" + image_path
-
-            with open(image_path, "rb") as f:
-                image_bytes = f.read()
-                f.seek(0)
-
-            with Image.open(image_path) as im:
-                width, height = im.size
-
-            yield idx, {
-                "image_id": f"{image_path[-4]}/{image_path[-1]}",
-                "image": {"path": image_path, "bytes": image_bytes},
-                "width": width,
-                "height": height,
-                "objects": objects,
-            }
-            idx += 1