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