Update XFUN.py

XFUN.py

@@ -10,14 +10,15 @@ import numpy as np
 
 from transformers import AutoTokenizer
 
-def load_image(image_path):
+def load_image(image_path, size):
     image = Image.open(image_path).convert("RGB")
     w, h = image.size
-    # resize image to 224x224
-    image = image.resize((224, 224))
-    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
+    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)
 
 
@@ -143,7 +144,8 @@ class XFUN(datasets.GeneratorBasedBuilder):
 
             for doc in data["documents"]:
                 doc["img"]["fpath"] = os.path.join(filepath[1], doc["img"]["fname"])
-                image, size = load_image(doc["img"]["fpath"])
+                image, size = load_image(doc["img"]["fpath"], size=224)
+                original_image, _ = load_image(doc["img"]["fpath"])
                 document = doc["document"]
                 tokenized_doc = {"input_ids": [], "bbox": [], "labels": []}
                 entities = []
@@ -272,6 +274,7 @@ class XFUN(datasets.GeneratorBasedBuilder):
                         {
                             "id": f"{doc['id']}_{chunk_id}",
                             "image": image,
+                            "original_image": original_image,
                             "entities": entities_in_this_span,
                             "relations": relations_in_this_span,
                         }