Method classification

ddddocr/compat/v1.py:95–127

OCR识别方法 Args: img: 图片数据（bytes、str、pathlib.PurePath或PIL.Image） png_fix: 是否修复PNG透明背景问题 probability: 是否返回概率信息 color_filter_colors: 颜色过滤预设颜色列表，如 ['red', 'blue'] color_filter_custom_ranges: 自定义HSV颜色范围列表，如 [((0,50,50), (

(self, img: Union[bytes, str, pathlib.PurePath, Image.Image], 
                      png_fix: bool = False, probability: bool = False,
                      color_filter_colors: Optional[List[str]] = None,
                      color_filter_custom_ranges: Optional[List[Tuple[Tuple[int, int, int], Tuple[int, int, int]]]] = None)

        self.slide_engine = SlideEngine()
    
    def classification(self, img: Union[bytes, str, pathlib.PurePath, Image.Image], 
                      png_fix: bool = False, probability: bool = False,
                      color_filter_colors: Optional[List[str]] = None,
                      color_filter_custom_ranges: Optional[List[Tuple[Tuple[int, int, int], Tuple[int, int, int]]]] = None) -> Union[str, Dict[str, Any]]:
        """
        OCR识别方法
        
        Args:
            img: 图片数据（bytes、str、pathlib.PurePath或PIL.Image）
            png_fix: 是否修复PNG透明背景问题
            probability: 是否返回概率信息
            color_filter_colors: 颜色过滤预设颜色列表，如 ['red', 'blue']
            color_filter_custom_ranges: 自定义HSV颜色范围列表，如 [((0,50,50), (10,255,255))]
        
        Returns:
            识别结果文本或包含概率信息的字典
            
        Raises:
            DDDDOCRError: 当功能未启用或识别失败时
        """
        if self.det:
            raise DDDDOCRError("当前识别类型为目标检测")
        
        if not self.ocr_engine:
            raise DDDDOCRError("OCR功能未初始化")
        
        return self.ocr_engine.predict(
            image=img,
            png_fix=png_fix,
            probability=probability,
            color_filter_colors=color_filter_colors,
            color_filter_custom_ranges=color_filter_custom_ranges
        )
    
    def detection(self, img: Union[bytes, str, pathlib.PurePath, Image.Image]) -> List[List[int]]:
        """