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modified: dataset.py

dataset.py

@@ -1,3 +1,4 @@
+
 import os
 import json
 from datasets import GeneratorBasedBuilder, DatasetInfo, SplitGenerator, Split, Features, Value, Sequence, Image
@@ -7,19 +8,20 @@ class TLPD(GeneratorBasedBuilder):
         return DatasetInfo(
             description="Taiwan License Plate Dataset with LabelMe polygon annotations.",
             features=Features({
-                "image": Image(),  # will auto-decode as PIL.Image
-                "label": Value("string"),  # "carplate"
-                "points": Sequence(Sequence(Value("float32")))  # [[x1,y1], [x2,y2], ...]
-            })
+                "image": Image(),  # auto-decodes to PIL.Image
+                "label": Value("string"),  # e.g., 'carplate'
+                "points": Sequence(Sequence(Value("float32")))  # list of [x, y] coords
+            }),
         )
 
     def _split_generators(self, dl_manager):
+        data_dir = dl_manager.manual_dir
         return [
             SplitGenerator(
                 name=Split.TRAIN,
                 gen_kwargs={
-                    "images_dir": os.path.join(dl_manager.manual_dir, "images"),
-                    "labels_dir": os.path.join(dl_manager.manual_dir, "labels")
+                    "images_dir": os.path.join(data_dir, "images"),
+                    "labels_dir": os.path.join(data_dir, "labels")
                 }
             )
         ]
@@ -28,14 +30,24 @@ class TLPD(GeneratorBasedBuilder):
         for fname in sorted(os.listdir(labels_dir)):
             if not fname.endswith(".json"):
                 continue
+
             label_path = os.path.join(labels_dir, fname)
             with open(label_path, "r") as f:
                 data = json.load(f)
-            image_filename = data["imagePath"]
+
+            image_filename = data.get("imagePath")
             image_path = os.path.join(images_dir, image_filename)
-            label = data["shapes"][0]["label"]
-            points = data["shapes"][0]["points"]
-            key = fname.replace(".json", "")
+
+            shapes = data.get("shapes", [])
+            if not shapes:
+                continue  # skip if no annotation
+
+            label = shapes[0].get("label", "unknown")
+            points = shapes[0].get("points", [])
+
+            key = os.path.splitext(fname)[0]
+            
+            print("Yielding:", key, label, points)
             yield key, {
                 "image": image_path,
                 "label": label,