init

datasets/sun397.py

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+import os
+
+from .utils import Datum, DatasetBase, read_json, write_json, build_data_loader
+
+from .oxford_pets import OxfordPets
+
+
+template = ['a photo of a {}.']
+
+
+class SUN397(DatasetBase):
+
+    dataset_dir = 'sun397'
+
+    def __init__(self, root, num_shots):
+        self.dataset_dir = os.path.join(root, self.dataset_dir)
+        self.image_dir = os.path.join(self.dataset_dir, 'SUN397')
+        self.split_path = os.path.join(self.dataset_dir, 'split_zhou_SUN397.json')
+
+        self.template = template
+
+        train, val, test = OxfordPets.read_split(self.split_path, self.image_dir)
+        train = self.generate_fewshot_dataset(train, num_shots=num_shots)
+
+        super().__init__(train_x=train, val=val, test=test)
+    
+    def read_data(self, cname2lab, text_file):
+        text_file = os.path.join(self.dataset_dir, text_file)
+        items = []
+
+        with open(text_file, 'r') as f:
+            lines = f.readlines()
+            for line in lines:
+                imname = line.strip()[1:] # remove /
+                classname = os.path.dirname(imname)
+                label = cname2lab[classname]
+                impath = os.path.join(self.image_dir, imname)
+
+                names = classname.split('/')[1:] # remove 1st letter
+                names = names[::-1] # put words like indoor/outdoor at first
+                classname = ' '.join(names)
+                
+                item = Datum(
+                    impath=impath,
+                    label=label,
+                    classname=classname
+                )
+                items.append(item)
+        
+        return items