Update CC6204-Hackaton-Cub-Dataset.py

CC6204-Hackaton-Cub-Dataset.py

@@ -26,20 +26,29 @@ _URLS = {
 }
 
 # Create id-to-label dictionary using the classes file
-classes = get(_URLS['classes']).iter_lines()
+classes = get(_URLS["classes"]).iter_lines()
 logger.info(f"classes: {classes}")
 
 _ID2LABEL = {}
 for row in classes:
    row = row.decode("UTF8")
-   if row != '':
+   if row != "":
       idx, label = row.split(" ")
       _ID2LABEL[int(idx)] = re.search("[^\d\.\_+].+", label).group(0).replace("_", " ")
       
 logger.info(f"_ID2LABEL: {_ID2LABEL}")
 
+_NAMES = list(_ID2LABEL.values())
+
 # build from images.txt: a mapping from image_file_name -> id
-_IMGPATH2ID = {}
+imgpath_to_ids = get(_URLS["images"]).iter_lines()
+_IMGNAME2ID = {}
+for row in imagepath_to_ids:
+   row = row.decode("UTF8")
+   if row != "":
+      idx, img_name = row.split(" ")
+      _IMGNAME2ID[img_name] = int(idx)
+   
 
 
 class CubDataset(datasets.GeneratorBasedBuilder):
@@ -64,7 +73,7 @@ class CubDataset(datasets.GeneratorBasedBuilder):
    def _split_generators(self, dl_manager):
       # 1: train, 0: test
       train_test_split = get(_URLS["train_test_split"]).iter_lines()
-      train_images_idx = set([x.decode("UTF8").split(" ")[0] for x in train_test_split if x.decode("UTF8").split(" ")[1] == 1])
+      train_images_idx = set([int(x.decode("UTF8").split(" ")[0]) for x in train_test_split if x.decode("UTF8").split(" ")[1] == 1])
       logger.info(f"train_images_idx length: {len(train_images_idx)}")
       
       train_files = []
@@ -76,7 +85,7 @@ class CubDataset(datasets.GeneratorBasedBuilder):
       for batch in data_files:
          path_files = dl_manager.iter_files(batch)
          for img in path_files:
-            if _IMGPATH2ID[os.path.basename(img)] in train_images_idx:
+            if _IMGNAME2ID[os.path.basename(img)] in train_images_idx:
                train_files.append(img)
             else:
                test_files.append(img)