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HyperLPR项目地址:https://github.com/zeusees/HyperLPR
项目配置过程参看探索 Python + HyperLPR 进行车牌识别
可行的环境搭配(Python3):
# 搭桥
pip install 包名 -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install scikit-image
pip install pillow
pip install Theano
pip install Keras==2.0.9
pip install tensorflow==1.13.1
pip install opencv-python==3.4.3.18
(lpr_py3) C:\Users\Handsome boy>pip list Package Version -------------------- -------- absl-py 0.9.0 astor 0.8.1 cycler 0.10.0 decorator 4.4.1 gast 0.3.3 grpcio 1.27.2 h5py 2.10.0 imageio 2.8.0 Keras 2.0.9 Keras-Applications 1.0.8 Keras-Preprocessing 1.1.0 kiwisolver 1.1.0 Markdown 3.2.1 matplotlib 3.1.3 mock 4.0.1 networkx 2.4 numpy 1.18.1 opencv-python 3.4.3.18 Pillow 7.0.0 pip 20.0.2 protobuf 3.11.3 pyparsing 2.4.6 python-dateutil 2.8.1 PyWavelets 1.1.1 PyYAML 5.3 scikit-image 0.16.2 scipy 1.4.1 setuptools 45.2.0 six 1.14.0 tensorboard 1.13.1 tensorflow 1.13.1 tensorflow-estimator 1.13.0 termcolor 1.1.0 Theano 1.0.4 Werkzeug 1.0.0 wheel 0.34.2
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