当前位置:   article > 正文

python编程基于yolov5的车牌定位和识别系统_yolo5 lpr车牌识别

yolo5 lpr车牌识别

车牌识别行业已具备一定的市场规模,在电子警察、公路卡口、停车场、商业管理、汽修服务等领域已取得了部分应用。

  1. import glob
  2. # Contains all .txt files except our listof classes
  3. txt_files = [file for file inglob.glob('images/*.txt') if file != 'images/classes.txt']
  4. # Read every .txt file and store it'scontent into variable curr
  5. for file in txt_files:
  6. with open(file, 'r') as f:
  7. curr = f.read()
  8. # Replace class index 15 with 1 and storeit in a variable new
  9. new = curr.replace('15 ', '1 ')
  10. # Once again open every .txt file and makethe replacement
  11. for file in txt_files:
  12. with open(file, 'w') as f:
  13. f.write(new)

效果图:

效果视频:

python 基于yolov5的车牌定位和识别视频和图片

下载链接:

python基于YOLOV5的车牌定位和识别源码可识别视频和图片-互联网文档类资源-CSDN下载

声明:本文内容由网友自发贡献,不代表【wpsshop博客】立场,版权归原作者所有,本站不承担相应法律责任。如您发现有侵权的内容,请联系我们。转载请注明出处:https://www.wpsshop.cn/w/小惠珠哦/article/detail/863071
推荐阅读
相关标签
  

闽ICP备14008679号