Update CC6204-Hackaton-Cub-Dataset.py

CC6204-Hackaton-Cub-Dataset.py

@@ -87,7 +87,9 @@ class CubDataset(datasets.GeneratorBasedBuilder):
       
    def _split_generators(self, dl_manager):      
       train_files = []
+      train_idx = []
       test_files = []
+      test_idx = []
       
       # Download images
       data_files = dl_manager.download_and_extract(_URLS["mini_images_urls"])
@@ -96,8 +98,10 @@ class CubDataset(datasets.GeneratorBasedBuilder):
          img_idx = _IMGNAME2ID[os.path.basename(img)]
          if img_idx in _TRAIN_IDX_SET:
             train_files.append(img)
+            train_idx.append(img_idx)
          else:
             test_files.append(img)
+            test_idx.append(img_idx)
       
       #for batch in data_files:
          #path_files = dl_manager.iter_files(batch)
@@ -113,25 +117,27 @@ class CubDataset(datasets.GeneratorBasedBuilder):
                  datasets.SplitGenerator(
                     name=datasets.Split.TRAIN,
                     gen_kwargs={
-                       "files": train_files
+                       "files": train_files,
+                       "image_idx": train_idx
                     }
                  ),
                  datasets.SplitGenerator(
                     name=datasets.Split.TEST,
                     gen_kwargs={
-                       "files": test_files
+                       "files": test_files,
+                       "image_idx": test_idx
                     }
                  )
       ]
       
       
-   def _generate_examples(self, files):
+   def _generate_examples(self, files, idx):
    
       for i, path in enumerate(files):
          file_name = os.path.basename(path)
          if file_name.endswith(".jpg"):
             yield i, {
                "image": path,
-               "labels": _ID2LABEL[int(re.search("^\d+", file_name).group(0))],
+               "labels": _ID2LABEL[idx[i]],
             }