【摘要】 HyperLPR车牌识别实现原理 High Accuracy Chinese Plate Recognition Framework, This research aims at simply developping plate recognition project based on deep learning methods, with ...
HyperLPR车牌识别实现原理
High Accuracy Chinese Plate Recognition Framework, This research aims at simply developping plate recognition project based on deep learning methods, with low complexity and high speed. This project has been used by some commercial corporations. Free and open source, deploying by Zeusee.
Github :https://github.com/icepoint666/HyperLPR
Forked from zeusees/HyperLPR 略加改动
只需要两个代码文件:
- demo.py
- HyperLPRLite.py
1. 参数说明
识别单一图片中的车牌
在项目路径 /HyperLPR 中运行下面指令
$ python demo.py --detect_path images_rec/test.png \ > --cascade_model_path model/cascade.xml \ > --mapping_vertical_model_path model/model12.h5 \ > --ocr_plate_model_path model/ocr_plate_all_gru.h5 \ > --result_save_folder_path save_folder12345- detect_path: 被检测图片的路径, default = None - cascade_model_path: 用于object