changed tokenization

ref_seg_ger.py

@@ -62,7 +62,7 @@ _LABELS = [
 
 _FEATURES = datasets.Features(
     {
-        # "id": datasets.Value("string"),
+        "id": datasets.Value("string"),
         "tokens": datasets.Sequence(datasets.Value("string")),
         # "attention_mask": datasets.Sequence(datasets.Value("int64")),
         # "bbox": datasets.Sequence(datasets.Sequence(datasets.Value("int64"))),
@@ -81,16 +81,16 @@ _FEATURES = datasets.Features(
 )
 
 
-def load_image(image_path, size=None):
-    image = Image.open(image_path).convert("RGB")
-    w, h = image.size
-    if size is not None:
-        # resize image
-        image = image.resize((size, size))
-        image = np.asarray(image)
-        image = image[:, :, ::-1]  # flip color channels from RGB to BGR
-        image = image.transpose(2, 0, 1)  # move channels to first dimension
-    return image, (w, h)
+# def load_image(image_path, size=None):
+#     image = Image.open(image_path).convert("RGB")
+#     w, h = image.size
+#     if size is not None:
+#         # resize image
+#         image = image.resize((size, size))
+#         image = np.asarray(image)
+#         image = image[:, :, ::-1]  # flip color channels from RGB to BGR
+#         image = image.transpose(2, 0, 1)  # move channels to first dimension
+#     return image, (w, h)
 
 
 # def normalize_bbox(bbox, size):
@@ -303,7 +303,7 @@ class RefSeg(datasets.GeneratorBasedBuilder):
                 # print(split_ids, len(split_ids))
 
             yield key, {
-                # "id": f"{os.path.basename(f)}_{chunk_id}",
+                "id": f"{os.path.basename(f)}",
                 'tokens': clean_input_ids,
                 # 'attention_mask': [1] * len(chunk_ids),
                 # "bbox": split_bboxes,