ValueError：输入必须具有3个通道得到了input_shape =200，200，1`

问题描述

我正在尝试将转移学习与VGG16一起使用。我正在使用Keras。但是我出错了

vgg = vgg16.VGG16(include_top=False,weights='imagenet',input_shape=(IMG_SIZE,IMG_SIZE,1))

有什么问题吗？

注意：IMG_SIZE = 200

错误的踪迹是

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-5-1b17094c93e2> in <module>
      3 import keras
      4 
----> 5 vgg = vgg16.VGG16(include_top=False,1))
      6 
      7 output = vgg.layers[-1].output

c:\users\hiteshsom\documents\deepanshu_q2\env\lib\site-packages\tensorflow\python\keras\applications\vgg16.py in VGG16(include_top,weights,input_tensor,input_shape,pooling,classes,classifier_activation)
    124                      ' as true,`classes` should be 1000')
    125   # Determine proper input shape
--> 126   input_shape = imagenet_utils.obtain_input_shape(
    127       input_shape,128       default_size=224,c:\users\hiteshsom\documents\deepanshu_q2\env\lib\site-packages\tensorflow\python\keras\applications\imagenet_utils.py in obtain_input_shape(input_shape,default_size,min_size,data_format,require_flatten,weights)
    363           raise ValueError('`input_shape` must be a tuple of three integers.')
    364         if input_shape[-1] != 3 and weights == 'imagenet':
--> 365           raise ValueError('The input must have 3 channels; got '
    366                            '`input_shape=' + str(input_shape) + '`')
    367         if ((input_shape[0] is not None and input_shape[0] < min_size) or

ValueError: The input must have 3 channels; got `input_shape=(200,200,1)`

解决方法

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