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images | 5 months ago | |
models | 5 months ago | |
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paddleModels/whl | 5 months ago | |
PlateDetect.py | 5 months ago | |
README.md | 5 months ago | |
carPlate_recognize.py | 5 months ago | |
cropped_license_plate.jpg | 5 months ago | |
cropped_license_plate_with_margin.jpg | 5 months ago | |
demo_ui_main.py | 5 months ago | |
detect_tools.py | 5 months ago | |
imgTest.py | 5 months ago | |
img_enhancement.py | 5 months ago | |
tab1_1.py | 5 months ago | |
tab1_2.py | 5 months ago | |
tab1_3.py | 5 months ago | |
tab2.py | 5 months ago | |
tab3.py | 5 months ago | |
演示视频.mp4 | 5 months ago |
README.md
1.创建虚拟环境并安装相关依赖
#创建虚拟环境
conda create -n pytorch_1.8 python=3.8
#进入虚拟环境
conda activate pytorch_1.8
#安装项目依赖包
python -m pip install opencv-python -i https://pypi.tuna.tsinghua.edu.cn/simple/
python -m pip install matplotlib -i https://pypi.tuna.tsinghua.edu.cn/simple/
pip install gradio==3.47.1
(缺少哪个包就类似方法安装哪个包即可)
2.运行项目脚本
#进入到项目虚拟环境
conda activate pytorch_1.8
#cd 到项目根目录
cd Imag_Enhanc_License_recog-main/
#运行项目
python demo_ui_main.py