Create gen_script.py

gen_script.py

@@ -0,0 +1,85 @@
+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,
+                    },
+                )