Fixed unexisting, class, removed load image before loading dataset

ExpirationDate.py

@@ -1,7 +1,5 @@
 import json
 import os
-# import base64
-from PIL import Image
 import datasets
 
 # Find for instance the citation on arxiv or on the dataset repo/website
@@ -18,15 +16,14 @@ _HOMEPAGE = "https://acseker.github.io/ExpDateWebsite/"
 _LICENSE = "https://licenses.nuget.org/AFL-3.0"
 
 _URLs = {
-    "products_synth": "https://huggingface.co/datasets/dimun/ExpirationDate/blob/main/Products-Synth.zip",
-    "products_real": "https://huggingface.co/datasets/dimun/ExpirationDate/blob/main/Products-Real.zip",
+    "products_synth": "https://huggingface.co/datasets/dimun/ExpirationDate/resolve/main/Products-Synth.zip?download=true",
+    "products_real": "https://huggingface.co/datasets/dimun/ExpirationDate/resolve/main/Products-Real.zip?download=true",
 }
 
 
-def load_image(image_path):
-    image = Image.open(image_path).convert("RGB")
-    w, h = image.size
-    return image, (w, h)
+def has_extension(file_path, extensions):
+    _, file_extension = os.path.splitext(file_path)
+    return file_extension.lower() in extensions
 
 
 logger = datasets.logging.get_logger(__name__)
@@ -34,6 +31,7 @@ logger = datasets.logging.get_logger(__name__)
 
 class ExpirationDate(datasets.GeneratorBasedBuilder):
     VERSION = datasets.Version("0.0.1")
+    CATEGORIES = ["prod", "date", "due", "code"]
 
     def _info(self):
         features = datasets.Features(
@@ -41,11 +39,8 @@ class ExpirationDate(datasets.GeneratorBasedBuilder):
                 "id": datasets.Value("string"),
                 "transcriptions": datasets.Sequence(datasets.Value("string")),
                 "bboxes_block": datasets.Sequence(datasets.Sequence(datasets.Value("int64"))),
-                "categories": datasets.Sequence(
-                    datasets.features.ClassLabel(
-                        names=["prod", "date", "due", "code"])
-                ),
-                "image": datasets.features.Image(),
+                "categories": datasets.Sequence(datasets.features.ClassLabel(names=self.CATEGORIES)),
+                "image_path": datasets.Value("string"),
                 "width": datasets.Value("int32"),
                 "height": datasets.Value("int32")
             }
@@ -68,9 +63,9 @@ class ExpirationDate(datasets.GeneratorBasedBuilder):
         """Returns SplitGenerators."""
         # dl_manager is a datasets.download.DownloadManager that can be used to download and extract files
         # based on the provided URLs
-        
+
         archive_path = dl_manager.download_and_extract(_URLs)
-        
+
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -100,36 +95,37 @@ class ExpirationDate(datasets.GeneratorBasedBuilder):
         ]
 
     def _generate_examples(self, filepath, split):
-        logger.info(f"⏳ Generating examples from = {filepath} to the split {split}")
+        logger.info(
+            f"⏳ Generating examples from = {filepath} to the split {split}")
         ann_file = os.path.join(filepath, split, "annotations.json")
-        
+
         # get json
         with open(ann_file, "r", encoding="utf8") as f:
             features_map = json.load(f)
-        
+
         img_dir = os.path.join(filepath, split, "images")
         img_listdir = os.listdir(img_dir)
 
         for guid, filename in enumerate(img_listdir):
-            categories = []
-            
-            image_features = features_map[filename]
-            image_ann = image_features.get("ann")
-            
-            transcriptions = [box.get("transcription", "") for box in image_ann]
-            bboxes_block = [box.get("bbox") for box in image_ann]
-            categories = [box.get("cls") for box in image_ann]
-            
-            # get image
-            image_path = os.path.join(img_dir, filename)
-            image, size = load_image(image_path)
-
-            yield guid, {
-                "id": filename,
-                "transcriptions": transcriptions,
-                "bboxes_block": bboxes_block,
-                "categories": categories,
-                "image": image,
-                "width": image_ann.get("width"),
-                "height": image_ann.get("height"),
+            if filename.endswith(".jpg"):
+                image_features = features_map[filename]
+                image_ann = image_features.get("ann")
+
+                transcriptions = [box.get("transcription", "")
+                                  for box in image_ann]
+                bboxes_block = [box.get("bbox") for box in image_ann]
+                categories = [box.get("cls") if box.get(
+                    "cls") in self.CATEGORIES else "date" for box in image_ann]
+
+                # get image
+                image_path = os.path.join(img_dir, filename)
+
+                yield guid, {
+                    "id": filename,
+                    "transcriptions": transcriptions,
+                    "bboxes_block": bboxes_block,
+                    "categories": categories,
+                    "image_path": image_path,
+                    "width": image_features.get("width"),
+                    "height": image_features.get("height"),
                 }