Create image-folder.py

image-folder.py

@@ -0,0 +1,52 @@
+from pathlib import Path
+from typing import List
+
+import datasets
+
+logger = datasets.logging.get_logger(__name__)
+
+_DESCRIPTION = "A generic image folder"
+
+
+class CatsAndDogs(datasets.GeneratorBasedBuilder):
+    def _info(self):
+
+        folder=None
+        if isinstance(self.config.data_files, str):
+            folder = self.config.data_files
+        elif isinstance(self.config.data_files, dict):
+            folder = self.config.data_files.get('train', None)
+
+        if folder is None:
+            raise RuntimeError()
+        
+        classes = sorted([x.name.lower() for x in Path(folder).glob('*/**')])
+
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "file": datasets.Value("string"),
+                    "labels": datasets.features.ClassLabel(names=classes)
+                }
+            ),
+        )
+
+    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
+
+        data_files = self.config.data_files
+
+        if isinstance(data_files, str):
+            return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={'archive_path': data_files})]
+
+        splits = []
+        for split_name, folder in data_files.items():
+            splits.append(datasets.SplitGenerator(name=split_name, gen_kwargs={'archive_path': folder}))
+
+        return splits
+
+    def _generate_examples(self, archive_path):
+        labels = self.info.features['labels']
+        logger.info("generating examples from = %s", archive_path)
+        for i, path in enumerate(Path(archive_path).glob('**/*.jpg')):
+            yield i, {'file': path.as_posix(), 'labels': labels.encode_example(path.parent.name.lower())}