IsADirectoryError错误排查：如何用Pathlib正确批量预处理图片文件夹（ABBYY服务）

• 修复核心调用错误：主函数里错误地将文件夹路径image_folder传给了仅支持单个文件的get_preprocessed_image函数，这是触发IsADirectoryError的直接原因。需要替换为调用批量处理函数preprocess_image_folder_(image_folder)（或优化命名后的preprocess_image_folder）。

• 修正文件匹配规则：当前批量函数匹配的是*.pdf文件，但你需要处理图片文件夹，应改为匹配图片格式，比如：

  # 匹配单种图片格式
  image_folder.rglob("*.jpg")
  # 匹配多种常见图片格式
  image_folder.rglob("*.{jpg,png,jpeg,bmp}")
  

• 优化文件保存逻辑（建议）：直接覆盖原文件存在数据丢失风险，建议将预处理后的文件保存到独立子文件夹：

  processed_folder = image_folder / "processed"
  processed_folder.mkdir(exist_ok=True)
  # 保存时指定新路径
  get_preprocessed_image(image_path).save(processed_folder / image_path.name)
  

• 规范函数命名（可选）：preprocess_image_folder_末尾的下划线属于冗余命名，可改为preprocess_image_folder提升可读性。

修改后的完整代码 #

import pathlib
import io
import PIL.Image
import pyabbyy
from tqdm import tqdm

image_folder = pathlib.Path("path_to_image_folder")

def get_preprocessed_image(image_path: pathlib.Path) -> PIL.Image.Image:
    with image_path.open("rb") as image_input:
        return PIL.Image.open(io.BytesIO(pyabbyy.preprocess(image_input.read())))

def preprocess_image_folder(image_folder: pathlib.Path) -> None:
    # 创建预处理结果保存目录
    processed_folder = image_folder / "processed"
    processed_folder.mkdir(exist_ok=True)
    # 遍历所有图片文件
    for image_path in tqdm.tqdm(list(image_folder.rglob("*.{jpg,png,jpeg,bmp}"))):
        processed_img = get_preprocessed_image(image_path)
        processed_img.save(processed_folder / image_path.name)

pyabbyy.initialize_engine(
        "h8KSSy98TGLEint",
        "path_to_activation_token",
        "password",
        "path_to_profile.ini",
)

if __name__ == '__main__':
    preprocess_image_folder(image_folder)

内容的提问来源于stack exchange，提问作者aarya