神经网络问题求助！！

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各位大佬们，我想问一下，我自己写了个VGG16的网络，然后把处理好的图像经过它，可是为什么会报这个错误呢？？望各位大佬指教
错误类型：'tuple' object has no attribute 'ndims'

1. import tensorflow as tf
   
2. import cv2
   
3. import numpy as np
   
4. img_address = 'C:\\Users\\Administrator\\Desktop\\faster-rcnn-keras-master\\img\\street.jpg'
   
5. 
   
6. def VGG(inputs):
   
7.     x = inputs
   
8.     # Conv1
   
9.     x = tf.keras.layers.Conv2D(filters=64, kernel_size=(3,3), padding='Same', activation=tf.nn.relu)(x)
   
10.     x = tf.keras.layers.Conv2D(filters=64, kernel_size=(3,3), padding='Same', activation=tf.nn.relu)(x)
    
11.     x - tf.keras.layers.MaxPooling2D(pool_size=(2,2), strides=2)(x)
    
12.     # Conv2
    
13.     x = tf.keras.layers.Conv2D(filters=128, kernel_size=(3,3), padding='Same', activation=tf.nn.relu)(x)
    
14.     x = tf.keras.layers.Conv2D(filters=128, kernel_size=(3,3), padding='Same', activation=tf.nn.relu)(x)
    
15.     x = tf.keras.layers.MaxPooling2D(pool_size=(2,2), strides=2)(x)
    
16.     # Conv3
    
17.     x = tf.keras.layers.Conv2D(256, (3, 3), padding='Same', activation=tf.nn.relu)(x)
    
18.     x = tf.keras.layers.Conv2D(256, (3, 3), padding='Same', activation=tf.nn.relu)(x)
    
19.     x = tf.keras.layers.Conv2D(256, (3, 3), padding='Same', activation=tf.nn.relu)(x)
    
20.     x = tf.keras.layers.MaxPooling2D(pool_size=(2, 2), strides=2)(x)
    
21.     # Conv4
    
22.     x = tf.keras.layers.Conv2D(512, (3, 3), padding='Same', activation=tf.nn.relu)(x)
    
23.     x = tf.keras.layers.Conv2D(512, (3, 3), padding='Same', activation=tf.nn.relu)(x)
    
24.     x = tf.keras.layers.Conv2D(512, (3, 3), padding='Same', activation=tf.nn.relu)(x)
    
25.     x = tf.keras.layers.MaxPooling2D(pool_size=(2, 2), strides=2)(x)
    
26.     # Conv5
    
27.     x = tf.keras.layers.Conv2D(512, (3, 3), padding='Same', activation=tf.nn.relu)(x)
    
28.     x = tf.keras.layers.Conv2D(512, (3, 3), padding='Same', activation=tf.nn.relu)(x)
    
29.     x = tf.keras.layers.Conv2D(512, (3, 3), padding='Same', activation=tf.nn.relu)(x)
    
30.     x = tf.keras.layers.MaxPooling2D(pool_size=(2, 2), strides=2)(x)
    
31.     return x
    
32. 
    
33. 
    
34. def img_solve():
    
35.     img = cv2.imread(img_address)
    
36.     img_shape = img.shape[0:2]
    
37.     img_shape_short = np.min(img_shape)
    
38.     ratio_img = 600. / img_shape_short
    
39.     img_collected = cv2.resize(img, (int(img_shape[0] * ratio_img), int(img_shape[1] * ratio_img)))
    
40.     img_collected = np.expand_dims(img_collected.astype(np.float32) / 255.0, axis=-1)
    
41.     return img_collected
    
42. 
    
43. img = img_solve()
    
44. a= VGG(img)
    
45. 
    
46. print(img.shape)
    

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这是错误类型

1. Traceback (most recent call last):
   
2.   File "C:/Users/Administrator/AppData/Roaming/JetBrains/PyCharm2020.1/scratches/scratch_2.py", line 44, in <module>
   
3.     a= VGG(img)
   
4.   File "C:/Users/Administrator/AppData/Roaming/JetBrains/PyCharm2020.1/scratches/scratch_2.py", line 9, in VGG
   
5.     x = tf.keras.layers.Conv2D(filters=64, kernel_size=(3,3), padding='Same', activation='relu')(x)
   
6.   File "C:\ProgramData\Anaconda3\envs\untitled\lib\site-packages\tensorflow\python\keras\engine\base_layer.py", line 538, in __call__
   
7.     self._maybe_build(inputs)
   
8.   File "C:\ProgramData\Anaconda3\envs\untitled\lib\site-packages\tensorflow\python\keras\engine\base_layer.py", line 1591, in _maybe_build
   
9.     self.input_spec, inputs, self.name)
   
10.   File "C:\ProgramData\Anaconda3\envs\untitled\lib\site-packages\tensorflow\python\keras\engine\input_spec.py", line 109, in assert_input_compatibility
    
11.     if x.shape.ndims is None:
    
12. AttributeError: 'tuple' object has no attribute 'ndims'

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大佬何在