Card: load with fgir_zoo.tgda

README.md

@@ -84,9 +84,9 @@ class count, accuracy, SHA-256 and size.
 import torch
 from PIL import Image
 from torchvision import transforms
-from fgir_zoo import fgirkd
+from fgir_zoo import tgda
 
-model = fgirkd.create_model('students/serial_203/cub_resnet18_vgg19_bn_cal_203')
+model = tgda.create_model('students/serial_203/cub_resnet18_vgg19_bn_cal_203')
 cfg = model.config
 tf = transforms.Compose([
     transforms.Resize((cfg.test_resize_size, cfg.test_resize_size),