[python]解决AttributeError: module ‘PIL.Image‘ has no attribute ‘ANTIALIAS‘问题

环境：python3.13.1

问题：

利用ddddocr进行验证码识别时报AttributeError: module 'PIL.Image' has no attribute 'ANTIALIAS'错误信息，具体如下：

python3
Python 3.13.1 (main, Jan  6 2025, 22:29:09) [Clang 16.0.0 (clang-1600.0.26.4)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> from ddddocr import DdddOcr
...
... ocr = DdddOcr()
... ocr = DdddOcr(show_ad=False)
...
Traceback (most recent call last):
  File "<python-input-0>", line 4, in <module>
    ocr = DdddOcr(show_ad=False)
TypeError: DdddOcr.__init__() got an unexpected keyword argument 'show_ad'
>>> from ddddocr import DdddOcr
...
... ocr = DdddOcr()
...
>>>
>>> with open('code.png', 'rb') as f:
...     image_bytes = f.read()
...
>>> result = ocr.classification(image_bytes)
Traceback (most recent call last):
  File "<python-input-4>", line 1, in <module>
    result = ocr.classification(image_bytes)
  File "/Users/apple/.pyenv/versions/3.13.1/lib/python3.13/site-packages/ddddocr/__init__.py", line 466, in classification
    image = image.resize((int(image.size[0] * (64 / image.size[1])), 64), Image.ANTIALIAS).convert('L')
                                                                          ^^^^^^^^^^^^^^^
AttributeError: module 'PIL.Image' has no attribute 'ANTIALIAS'
>>>

问题原因：

        pillow的ANTIALIAS属性在高版本python不支持了

解决方案：

        降低python版本和pillow版本（网上答案）

技术验证：

（1）python 3.11.10版本

pip3 list
Package                Version
---------------------- -----------
coloredlogs            15.0.1
ddddocr                1.5.6
easyocr                1.7.2
filelock               3.16.1
flatbuffers            24.12.23
fsspec                 2024.12.0
humanfriendly          10.0
imageio                2.36.1
Jinja2                 3.1.5
lazy_loader            0.4
MarkupSafe             3.0.2
mpmath                 1.3.0
networkx               3.4.2
ninja                  1.11.1.3
numpy                  2.2.1
onnxruntime            1.20.1
opencv-python-headless 4.10.0.84
packaging              24.2
pillow                 11.1.0
pip                    24.3.1
protobuf               5.29.2
pyclipper              1.3.0.post6
python-bidi            0.6.3
PyYAML                 6.0.2
scikit-image           0.25.0
scipy                  1.15.0
setuptools             65.5.0
shapely                2.0.6
sympy                  1.13.3
tifffile               2024.12.12
torch                  2.2.2
torchvision            0.17.2
typing_extensions      4.12.2

python3
Python 3.11.10 (main, Jan  6 2025, 11:15:25) [Clang 16.0.0 (clang-1600.0.26.4)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> from ddddocr import DdddOcr
>>>
>>> ocr = DdddOcr()
欢迎使用ddddocr，本项目专注带动行业内卷，个人博客:wenanzhe.com
训练数据支持来源于:http://146.56.204.113:19199/preview
爬虫框架feapder可快速一键接入，快速开启爬虫之旅：https://github.com/Boris-code/feapder
谷歌reCaptcha验证码 / hCaptcha验证码 / funCaptcha验证码商业级识别接口：https://yescaptcha.com/i/NSwk7i

>>>
>>> with open('code.png', 'rb') as f:
...     image_bytes = f.read()
...
>>> result = ocr.classification(image_bytes)
>>> result
'7ta9'

（2）python 3.12.8版本

#切换python版本
pyenv local 3.12.8

pip3 list

Package                Version
---------------------- ---------
coloredlogs            15.0.1
ddddocr                1.5.6
flatbuffers            24.12.23
humanfriendly          10.0
mpmath                 1.3.0
numpy                  2.2.1
onnxruntime            1.20.1
opencv-python-headless 4.10.0.84
packaging              24.2
pillow                 11.1.0
pip                    24.3.1
protobuf               5.29.2
sympy                  1.13.3

 python3
Python 3.12.8 (main, Jan  6 2025, 15:42:55) [Clang 16.0.0 (clang-1600.0.26.4)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>>
>>> from ddddocr import DdddOcr
>>>
>>> ocr = DdddOcr()
欢迎使用ddddocr，本项目专注带动行业内卷，个人博客:wenanzhe.com
训练数据支持来源于:http://146.56.204.113:19199/preview
爬虫框架feapder可快速一键接入，快速开启爬虫之旅：https://github.com/Boris-code/feapder
谷歌reCaptcha验证码 / hCaptcha验证码 / funCaptcha验证码商业级识别接口：https://yescaptcha.com/i/NSwk7i
>>>
>>> with open('code.png', 'rb') as f:
...     image_bytes = f.read()
...
>>> result = ocr.classification(image_bytes)
>>> result
'7ta9'
>>>