feat: dataset script

watermarkdataset.py

@@ -0,0 +1,41 @@
+import os
+import torch
+
+import datasets
+from pycocotools.coco import COCO
+
+_DESCRIPTION = """\
+    Watermark Dataset
+"""
+
+_VERSION = datasets.Version("1.0.0")
+
+_REPO = "data"# "https://huggingface.co/datasets/bastienp/visible-watermark-pita/raw/main/data"
+_URLS = {"train": f"{_REPO}/train.zip", "valid": f"{_REPO}/valid.zip"}
+
+_CATEGORIES = ["watermark"]
+
+class WatermarkPita(datasets.GeneratorBasedBuilder):
+    """Watermark Dataset"""
+
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            features=datasets.Features(
+                {
+                    "image": datasets.Image(),
+                    "objects": datasets.Sequence({
+                        "label": datasets.ClassLabel(names=_CATEGORIES),
+                        "bbox": datasets.Sequence(datasets.Value("int32"), length=4)
+                    }),
+                }
+            ),
+    
+            description=_DESCRIPTION,
+        )
+
+    def _split_generators(self, dl_manager):
+        return 
+
+    def _generate_examples(self, images, metadata_path):