取消eval的preprocess

main.py

@@ -19,6 +19,7 @@ from dataset import GetDatasetGenerator
 from loss import SoftmaxCrossEntropyLoss
 from learning_rates import exponential_lr, cosine_lr
 
+
 context.set_context(mode=context.PYNATIVE_MODE, save_graphs=False,
                     device_target='Ascend', device_id=7)
 # net = UNetMedical(n_channels=3, n_classes=6)
@@ -92,7 +93,8 @@ def eval_batch(eval_net, img_lst, crop_size=513, flip=True):
     resize_hw = []
     for l in range(batch_size):
         img_ = img_lst[l]
-        img_, resize_h, resize_w = pre_process(img_, crop_size)
+        resize_h, resize_w, _ = img_.shape
+        # img_, resize_h, resize_w = pre_process(img_, crop_size)
         batch_img[l] = img_
         resize_hw.append([resize_h, resize_w])