keras 包导入问题TypeError: object of

模型可视化

import tensorflow as tf
from tensorflow import keras
from keras import models
from keras.preprocessing import image
import numpy as np
import os

img_path=r"C:\Users\bxzyz\Desktop\doc\ocr\data\orc-data\annotations\charactor-008"
img_name=r"charactor-008_00223.bmp"
imgpath=os.path.join(img_path,img_name)

model = keras.models.load_model('D:\mydoc\ML\ocr2_IC_model_all4.h5')

img=image.load_img(imgpath,target_size=(75,45))
img_tensor=image.img_to_array(img)
img_tensor=np.expand_dims(img_tensor,axis=0)
print(img_tensor.shape)

(1, 75, 45, 3)

import matplotlib.pyplot as plt
plt.imshow(np.array(img_tensor[0],np.uint8))
plt.show()

output_4_0.png

from keras import models

layer_outputs=[layer.output for layer in model.layers[:4]]#提取前4层网络
activation_model=models.Model(inputs=model.input,outputs=layer_outputs)
activations=activation_model.predict(img_tensor)

---------------------------------------------------------------------------

TypeError                                 Traceback (most recent call last)

<ipython-input-38-e0393a80deb5> in <module>
      2 
      3 layer_outputs=[layer.output for layer in model.layers[:4]]#提取前4层网络
----> 4 activation_model=models.Model(inputs=model.input,outputs=layer_outputs)
      5 activations=activation_model.predict(img_tensor)


D:\anaconda\envs\py3\lib\site-packages\keras\legacy\interfaces.py in wrapper(*args, **kwargs)
     89                 warnings.warn('Update your `' + object_name + '` call to the ' +
     90                               'Keras 2 API: ' + signature, stacklevel=2)
---> 91             return func(*args, **kwargs)
     92         wrapper._original_function = func
     93         return wrapper


D:\anaconda\envs\py3\lib\site-packages\keras\engine\network.py in __init__(self, *args, **kwargs)
     92                 'inputs' in kwargs and 'outputs' in kwargs):
     93             # Graph network
---> 94             self._init_graph_network(*args, **kwargs)
     95         else:
     96             # Subclassed network


D:\anaconda\envs\py3\lib\site-packages\keras\engine\network.py in _init_graph_network(self, inputs, outputs, name, **kwargs)
    239         # Keep track of the network's nodes and layers.
    240         nodes, nodes_by_depth, layers, layers_by_depth = _map_graph_network(
--> 241             self.inputs, self.outputs)
    242         self._network_nodes = nodes
    243         self._nodes_by_depth = nodes_by_depth


D:\anaconda\envs\py3\lib\site-packages\keras\engine\network.py in _map_graph_network(inputs, outputs)
   1432                   layer=layer,
   1433                   node_index=node_index,
-> 1434                   tensor_index=tensor_index)
   1435 
   1436     for node in reversed(nodes_in_decreasing_depth):


D:\anaconda\envs\py3\lib\site-packages\keras\engine\network.py in build_map(tensor, finished_nodes, nodes_in_progress, layer, node_index, tensor_index)
   1413 
   1414         # Propagate to all previous tensors connected to this node.
-> 1415         for i in range(len(node.inbound_layers)):
   1416             x = node.input_tensors[i]
   1417             layer = node.inbound_layers[i]


TypeError: object of type 'InputLayer' has no len()

model.input

<tf.Tensor 'input_9_1:0' shape=(None, 75, 35, 3) dtype=float32>

first_layer_activation=activations[0]

model.input输出是正常的，问题出在keras 的model
models.Model（）改为tf.keras.models.Model()输出正常

tu.PNG