AttributeError:“function”对象在Keras中使用Alexnet时没有属性“predict”

Question

我需要使用Alexnet模型进行图像分类任务。我从这个source获取了架构实现。我想直接应用带有imagenet权重的模型（无需微调），并获得imagenet数据集的一些预测。代码如下：

def alexnet_model(img_shape=(224, 224, 3), n_classes=1000, l2_reg=0.,
weights='/content/drive/My Drive/cbir/models_cnn/alexnet_weights.hdf'):

    # Initialize model
    alexnet = Sequential()

    # Layer 1
    alexnet.add(Conv2D(96, (11, 11), input_shape=img_shape,
    padding='same', kernel_regularizer=l2(l2_reg)))
    alexnet.add(BatchNormalization())
    alexnet.add(Activation('relu'))
    alexnet.add(MaxPooling2D(pool_size=(2, 2)))

    # Layer 2
    alexnet.add(Conv2D(256, (5, 5), padding='same'))
    alexnet.add(BatchNormalization())
    alexnet.add(Activation('relu'))
    alexnet.add(MaxPooling2D(pool_size=(2, 2)))

    # Layer 3
    alexnet.add(ZeroPadding2D((1, 1)))
    alexnet.add(Conv2D(512, (3, 3), padding='same'))
    alexnet.add(BatchNormalization())
    alexnet.add(Activation('relu'))
    alexnet.add(MaxPooling2D(pool_size=(2, 2)))

    # Layer 4
    alexnet.add(ZeroPadding2D((1, 1)))
    alexnet.add(Conv2D(1024, (3, 3), padding='same'))
    alexnet.add(BatchNormalization())
    alexnet.add(Activation('relu'))

    # Layer 5
    alexnet.add(ZeroPadding2D((1, 1)))
    alexnet.add(Conv2D(1024, (3, 3), padding='same'))
    alexnet.add(BatchNormalization())
    alexnet.add(Activation('relu'))
    alexnet.add(MaxPooling2D(pool_size=(2, 2)))

    # Layer 6
    alexnet.add(Flatten())
    alexnet.add(Dense(3072))
    alexnet.add(BatchNormalization())
    alexnet.add(Activation('relu'))
    alexnet.add(Dropout(0.5))

    # Layer 7
    alexnet.add(Dense(4096))
    alexnet.add(BatchNormalization())
    alexnet.add(Activation('relu'))
    alexnet.add(Dropout(0.5))

   # Layer 8
    alexnet.add(Dense(n_classes))
    alexnet.add(BatchNormalization())
    alexnet.add(Activation('softmax'))

    if weights is not None:
      alexnet.load_weights(weights)


    return alexnet.compile()

之后，我跑：

model =  alexnet_model
target_size =(224,224)
img = load_img(imagePath, target_size=target_size)
img = img_to_array(img)
img = img.reshape((1, img.shape[0], img.shape[1], img.shape[2]))
img = preprocess_input(img)
y=model.predict(img)[0]

我得到这个错误：

AttributeError: 'function' object has no attribute 'predict'

Answer 1

你不是在给alexnet_model打电话

做

model = alexnet_model()

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