我正在尝试实现一个模型,它将灰度图像作为输入并返回一个数值作为输出。我使用 InceptionV3(从头开始训练)作为特征提取器,然后使用一些密集层进行最后阶段的回归。
这是我的代码:
from keras.applications.inception_v3 import InceptionV3
from keras.layers import Input, GlobalAveragePooling2D, Dense, Dropout, Flatten, BatchNormalization
from keras.models import Model
from keras.metrics import mean_absolute_error
from keras.utils import plot_model
inputs = Input(shape=(256, 256, 1))
x = BatchNormalization()(inputs)
x = InceptionV3(include_top = False, weights = None, input_shape=inputs.shape[1:])(x)
x = BatchNormalization()(x)
x = GlobalAveragePooling2D()(x)
x = Dense(1000, activation = 'relu' )(x)
x = Dense(1000, activation = 'relu' )(x)
outputs = Dense(1, activation = 'linear' )(x)
model = Model(inputs=inputs, outputs=outputs)
model.compile(optimizer = 'adam', loss = 'mse', metrics = [mae])
model.summary()
现在我在运行代码时收到此错误:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-36-50041eb640cc> in <module>()
7 inputs = Input(shape=(256, 256, 1))
8 x = BatchNormalization()(inputs)
----> 9 x = InceptionV3(include_top = False, weights = None, input_shape=inputs.shape[1:])(x)
10 x = BatchNormalization()(x)
11 x = GlobalAveragePooling2D()(x)
3 frames
/usr/local/lib/python3.6/dist-packages/keras_applications/imagenet_utils.py in _obtain_input_shape(input_shape, default_size, min_size, data_format, require_flatten, weights)
273 default_shape = (input_shape[0], default_size, default_size)
274 else:
--> 275 if input_shape[-1] not in {1, 3}:
276 warnings.warn(
277 'This model usually expects 1 or 3 input channels. '
TypeError: unhashable type: 'Dimension'
我不明白是什么导致了错误,因为当我使用顺序模型时它绝对没问题。但它不适用于此功能模型。
最佳答案
inputs.shape
不是列表,因此它会引发错误。它为您提供类型为 tensorflow.python.framework.tensor_shape.TensorShape
的形状,其中包含类型为 Dimension
print(inputs.shape)
# output TensorShape([Dimension(None), Dimension(256), Dimension(256), Dimension(1)])
您可以使用 as_list()
将形状获取为列表:
# inputs.shape.as_list()
# output [None, 256, 256, 1]
x = InceptionV3(include_top = False, weights = None, input_shape=inputs.shape.as_list()[1:])(x)
关于python - Keras InceptionV3 类型错误 : unhashable type: 'Dimension' ,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/60017583/