gen_script.py

from pathlib import Path

import datasets

_VERSION = "0.1.0"

_CITATION = ""

_DESCRIPTION = ""

_HOMEPAGE = ""

_LICENSE = ""

_FEATURES = datasets.Features(
    {
        "image": datasets.Image(mode="RGB"),
        "label": datasets.ClassLabel(
            names=[
                "Basophil",
                "Eosinophil",
                "Lymphocyte",
                "Monocyte",
                "Neutrophil",
            ]
        ),
    }
)

Cropped = datasets.Split("cropped")
Augmented = datasets.Split("augmented")
Original = datasets.Split("original")


class WartyPig(datasets.GeneratorBasedBuilder):
    DEFAULT_WRITER_BATCH_SIZE = 1000

    def _info(self):
        return datasets.DatasetInfo(
            features=_FEATURES,
            supervised_keys=None,
            description=_DESCRIPTION,
            homepage=_HOMEPAGE,
            license=_LICENSE,
            version=_VERSION,
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager: datasets.DownloadManager):
        original_images = sorted(list(Path("Original").rglob("*.jpg")))
        augmented_images = sorted(list(Path("Augmented images").rglob("*.jpg")))
        cropped_images = sorted(list(Path("Cropped Classified").rglob("*.jpg")))

        return [
            datasets.SplitGenerator(
                name=Original,
                gen_kwargs={"images": original_images, "no_label": True},
            ),
            datasets.SplitGenerator(
                name=Cropped,
                gen_kwargs={"images": cropped_images},
            ),
            datasets.SplitGenerator(
                name=Augmented,
                gen_kwargs={"images": augmented_images},
            ),
        ]

    def _generate_examples(self, images: list[Path], no_label=False):
        for i, image in enumerate(images):
            if no_label:
                yield (
                    i,
                    {
                        "image": str(image),
                    },
                )
            else:
                yield (
                    i,
                    {
                        "image": str(image),
                        "label": image.parent.name,
                    },
                )