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### 项目介绍
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本项目完成了一个综合性的数字图像处理系统，涵盖了21个基础图像处理功能、人脸识别模块、车牌识别模块和动物检测模块，将图像处理算法结果可视化以便于用户学习。
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### 环境配置
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1. 通过 pip 升级 OpenCV为最新版本:
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> pip install --upgrade opencv-python pip install --upgrade opencv-contrib-python
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>
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>
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2.本地安装tesseract，项目使用tesseract版本如下。
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> C:\Users\26655>tesseract -v tesseract v5.4.0.20240606 leptonica-1.84.1 libgif 5.2.1 : libjpeg 8d (libjpeg-turbo 3.0.1) : libpng 1.6.43 : libtiff 4.6.0 : zlib 1.3 : libwebp 1.4.0 : libopenjp2 2.5.2 Found AVX2 Found AVX Found FMA Found SSE4.1 Found libarchive 3.7.4 zlib/1.3.1 liblzma/5.6.1 bz2lib/1.0.8 liblz4/1.9.4 libzstd/1.5.6
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3.tesseract语言包下载。
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下载 chi_sim.traineddata，放到/安装路径/Tesseract-OCR/tessdata路径下。
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下载链接：https://github.com/tesseract-ocr/tessdata
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4.在系统环境变量Path中添加你的tesseract-OCR的安装路径，比如D:\Program Files\Tesseract-OCR。
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