Python 3.x TypeError:float（）参数必须是字符串或数字，而不是“module”

任何帮助都将不胜感激。我正在尝试将预期的输入形状定义为教程模型的一部分，您可以在以下网站上找到：。我使用的代码如下所示：

# load and prepare an image
def load_image_pixels(filename, shape):
    # load the image to get its shape
    Image_file = image.load_img(filename)
    width, height = Image_file.size
    # load the image with the required size
    Image_file = image.load_img(filename, target_size=shape)
    # convert to numpy array
    Image_file = image.img_to_array(image)
    # scale pixel values to [0, 1]
    Image_file = Image_file.astype('float32')
    Image_file /= 255.0
    # add a dimension so that we have one sample
    Image_file = expand_dims(Image_file, 0)
    return Image_file, width, height

# define the expected input shape for the model
input_w, input_h = 416, 416
# define our new photo
filename = 'zebra.jpg'
# load and prepare image
Image_file, width, height = load_image_pixels(filename, (input_w, input_h))

我得到了以下错误：

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-12-ea4c5aa676a6> in <module>
      4 filename = 'zebra.jpg'
      5 # load and prepare image
----> 6 Image_file, width, height = load_image_pixels(filename, (input_w, input_h))

<ipython-input-11-2ab602af7690> in load_image_pixels(filename, shape)
      7     Image_file = image.load_img(filename, target_size=shape)
      8     # convert to numpy array
----> 9     Image_file = image.img_to_array(image)
     10     # scale pixel values to [0, 1]
     11     Image_file = Image_file.astype('float32')

~/anaconda3/lib/python3.7/site-packages/keras/preprocessing/image.py in img_to_array(img, data_format, dtype)
     73     if dtype is None:
     74         dtype = backend.floatx()
---> 75     return image.img_to_array(img, data_format=data_format, dtype=dtype)
     76 
     77 

~/anaconda3/lib/python3.7/site-packages/keras_preprocessing/image/utils.py in img_to_array(img, data_format, dtype)
    297     # or (channel, height, width)
    298     # but original PIL image has format (width, height, channel)
--> 299     x = np.asarray(img, dtype=dtype)
    300     if len(x.shape) == 3:
    301         if data_format == 'channels_first':

~/anaconda3/lib/python3.7/site-packages/numpy/core/_asarray.py in asarray(a, dtype, order)
     83 
     84     """
---> 85     return array(a, dtype, copy=False, order=order)
     86 
     87 

TypeError: float() argument must be a string or a number, not 'module'

---

您的图像应该是image\u file=image.img\u to\u arrayimage中的image\u文件。因此，此行应该是Image\u file=Image.img\u to\u arrayImage\u file

请不要对所有内容使用相同的变量。你的代码在做什么？在图像中检测斑马