请结合上述对话给我完整的代码

当然，基于前面关于处理彩色TIFF图像的讨论，这是一个示例代码，假设你有一个名为`ImageProcessor`的类，并且我们已经有了`load_tiff_image`函数：

import cv2
from PIL import Image

class ImageProcessor:
    def __init__(self):
        pass
    
    def load_tiff_image(self, file_path):
        """
        加载TIFF图像并转换为RGB格式
        :param file_path: 彩色TIFF图片的路径
        :return: 彩色RGB图像，如果失败则返回None
        """
        try:
            image = cv2.imread(file_path, cv2.IMREAD_COLOR)
        except Exception as e:
            print(f"Failed to load image: {file_path}, error: {str(e)}")
            return None
        
        if image is None:
            return None
        elif image.shape[-1] != 3:
            print(f"Non-RGB image detected: {file_path}. Converting to RGB.")
            image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
        
        # 将OpenCV的BGR图像转换成PIL可以处理的RGB格式
        pil_image = Image.fromarray(image)
        return pil_image

    def process_image(self, file_path):
        image = self.load_tiff_image(file_path)
        if image is not None:
            # 对图像进行进一步的处理...
            processed_image = self.some_custom_processing(image)
            return processed_image
        else:
            print(f"Failed to process image: {file_path}")
            return None

# 使用示例
image_processor = ImageProcessor()
processed_image = image_processor.process_image("path_to_your_colorful_tif_file.tif")

# 如果你想查看图像，可能会有额外的步骤，比如显示或者保存
if processed_image:
    processed_image.show()

#