feat: read json format intead of txt

data/train.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:92d954ab8239a064b7874ab3466c861fc2c7240129bd7235609c1bcc31c473ed
-size 1585836
+oid sha256:61378ec4eed5bf3c71a91dcfb464a34ab6b74028f80e1e5a6e042f6e91dd0295
+size 1586223

visible-watermark-pita.py

@@ -1,8 +1,9 @@
 import os
 from glob import glob
-from PIL import Image
 
 import datasets
+import json
+from PIL import Image
 
 _DESCRIPTION = """\
     Watermark Dataset
@@ -15,23 +16,57 @@ _URLS = {"train": f"{_REPO}/train.zip", "valid": f"{_REPO}/valid.zip"}
 
 _CATEGORIES = ["watermark"]
 
+
+class WatermarkPitaConfig(datasets.BuilderConfig):
+    """Builder Config for Food-101"""
+
+    def __init__(self, repository, urls, categories, **kwargs):
+        """BuilderConfig for Food-101.
+        
+        Args:
+            repository: `string`, the name of the repository.
+            urls: `dict<string, string>`, the urls to the data.
+            categories: `list<string>`, the categories of the data.
+          
+            **kwargs: keyword arguments forwarded to super.
+        """
+        VERSION = datasets.Version("1.0.0")
+
+        super(WatermarkPitaConfig, self).__init__(version=VERSION, **kwargs)
+        self.repository = repository
+        self.urls = categories
+        self.categories = categories
+
+
 class WatermarkPita(datasets.GeneratorBasedBuilder):
     """Watermark Dataset"""
 
-    VERSION = datasets.Version("1.0.0")
+    BUILDER_CONFIGS = [
+        WatermarkPitaConfig(
+            name="text",
+            repository=_REPO,
+            urls=_URLS,
+            categories=_CATEGORIES,
+        )
+    ]
+  
+    _DEFAULT_CONFIG_NAME = "text"
 
     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)
-                    }),
+                    "objects": datasets.Sequence(
+                        {
+                            "label": datasets.ClassLabel(names=_CATEGORIES),
+                            "bbox": datasets.Sequence(
+                                datasets.Value("int32"), length=4
+                            ),
+                        }
+                    ),
                 }
             ),
-            supervised_keys=None,
             description=_DESCRIPTION,
         )
 
@@ -49,7 +84,6 @@ class WatermarkPita(datasets.GeneratorBasedBuilder):
             ),
         ]
 
-
     def _generate_examples(self, split, data_dir):
         image_dir = os.path.join(data_dir, "images")
         label_dir = os.path.join(data_dir, "labels")
@@ -58,26 +92,20 @@ class WatermarkPita(datasets.GeneratorBasedBuilder):
         label_paths = sorted(glob(label_dir + "/*.txt"))
 
         for idx, (image_path, label_path) in enumerate(zip(image_paths, label_paths)):
-            im = Image.open(image_path)
-            width, height = im.size
-
             with open(label_path, "r") as f:
-                lines = f.readlines()
+                bbox = json.load(f)
 
             objects = []
-            for line in lines:
-                line = line.strip().split()
-
-                bbox_class = int(line[0])
-                bbox_top_left = int(float(line[1]) * width)
-                bbox_top_right = int(float(line[2]) * height)
-                bbox_bottom_left = int(float(line[3]) * width)
-                bbox_bottom_right = int(float(line[4]) * height)
-
-
-                objects.append({
-                    "label": bbox_class,
-                    "bbox": [bbox_top_left, bbox_top_right, bbox_bottom_left, bbox_bottom_right]
-                })
+            objects.append(
+                {
+                    "label": bbox["label"],
+                    "bbox": [
+                        bbox["x"],
+                        bbox["y"],
+                        bbox["width"],
+                        bbox["height"],
+                    ],
+                }
+            )
 
             yield idx, {"image": image_path, "objects": objects}