snapshot...

modules/deeplearning/cloud_opd_fcn_abi.py

@@ -343,16 +343,6 @@ class SRCNN:
         data = data.astype(np.float32)
         label = label.astype(np.float32)
 
-        if is_training and DO_AUGMENT:
-            data_ud = np.flip(data, axis=1)
-            label_ud = np.flip(label, axis=1)
-
-            data_lr = np.flip(data, axis=2)
-            label_lr = np.flip(label, axis=2)
-
-            data = np.concatenate([data, data_ud, data_lr])
-            label = np.concatenate([label, label_ud, label_lr])
-
         return data, label
 
     def get_in_mem_data_batch_train(self, idxs):