def convert_to_grayscale(self):
    subdirectories = self.list_subdirectories()

    for subdirectory_name in subdirectories:
        subdirectory_path = os.path.join(self.base_dir, subdirectory_name)
        image_files = [os.path.join(subdirectory_path, file) for file in os.listdir(subdirectory_path) if os.path.isfile(os.path.join(subdirectory_path, file))]

        if image_files:
            for image_path in image_files:
                img = image.load_img(image_path)
                img_array = image.img_to_array(img)
                img_gray = cv2.cvtColor(img_array, cv2.COLOR_BGR2GRAY)
                img_gray = cv2.cvtColor(img_gray, cv2.COLOR_GRAY2BGR)  # Ensure it's 3-channel
                cv2.imwrite(image_path, img_gray)

    print("Grayscale conversion and saving completed.")

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当调用此：image_processing.convert_to_grayscale()时
我得到这个错误：

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-50-feb64db6939a> in <cell line: 1>()
----> 1 image_processing.convert_to_grayscale()

<ipython-input-27-7a06c7c14fb3> in convert_to_grayscale(self)
     52             for image_path in image_files:
     53                 img = image.load_img(image_path)
---> 54                 if len(image.shape) == 3 and image.shape[2] == 3:
     55                     img = cv2.cvtColor(image.img_to_array(img), cv2.COLOR_BGR2GRAY)
     56 

AttributeError: module 'keras.utils' has no attribute 'shape'

型
解决这个问题，我尝试了不同的方法，我也使用chatgpt，但没有得到正确的答案。