fix resize use problem

modules/deeplearning/espcn.py

@@ -242,9 +242,6 @@ class ESPCN:
 
         # data = np.concatenate(data_s)
         data = np.concatenate(label_s)
-        hr_shape = data.shape
-        data = tf.image.resize(data, (hr_shape[0], hr_shape[1], hr_shape[2] // 2, hr_shape[3] // 2))
-
         label = np.concatenate(label_s)
 
         label = label[:, label_idx, :, :]
@@ -252,6 +249,7 @@ class ESPCN:
 
         data = data[:, data_idx, :, :]
         data = np.expand_dims(data, axis=3)
+        data = tf.image.resize(data, (32, 32)).numpy()
 
         data = data.astype(np.float32)
         label = label.astype(np.float32)