init

datasets/fgvc.py

@@ -0,0 +1,54 @@
+import os
+
+from .utils import Datum, DatasetBase, read_json, write_json, build_data_loader
+
+
+template = ['a photo of a {}, a type of aircraft.']
+
+
+class FGVCAircraft(DatasetBase):
+
+    dataset_dir = 'fgvc_aircraft'
+
+    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, 'images')
+
+        self.template = template
+
+        classnames = []
+        with open(os.path.join(self.dataset_dir, 'variants.txt'), 'r') as f:
+            lines = f.readlines()
+            for line in lines:
+                classnames.append(line.strip())
+        cname2lab = {c: i for i, c in enumerate(classnames)}
+
+        train = self.read_data(cname2lab, 'images_variant_train.txt')
+        val = self.read_data(cname2lab, 'images_variant_val.txt')
+        test = self.read_data(cname2lab, 'images_variant_test.txt')
+        
+        train = self.generate_fewshot_dataset(train, num_shots=num_shots)
+        
+        super().__init__(train_x=train, val=val, test=test)
+    
+    def read_data(self, cname2lab, split_file):
+        filepath = os.path.join(self.dataset_dir, split_file)
+        items = []
+        
+        with open(filepath, 'r') as f:
+            lines = f.readlines()
+            for line in lines:
+                line = line.strip().split(' ')
+                imname = line[0] + '.jpg'
+                classname = ' '.join(line[1:])
+                impath = os.path.join(self.image_dir, imname)
+                label = cname2lab[classname]
+                item = Datum(
+                    impath=impath,
+                    label=label,
+                    classname=classname
+                )
+                items.append(item)
+        
+        return items