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使用百度开源ppyolo3目标检测模型识别滑动验证码 极验滑块验证码 识别成功率99% 🎯

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ppyolo 滑动验证码识别

快速开始:

  1. 下载该项目
  2. 在Releases中下载训练好的模型文件放置相应目录

---------------------------------使用效果展示-----------------------------------------

python predict.py

if __name__ == '__main__':
    print('加载模型开始预测>>')
    # 默认识别imgs目录下所有图片
    main()

C:\python3\python.exe E:/ppyolo-captcha/predict.py
加载模型开始预测>>
-----------  Model Configuration -----------
Model Arch: YOLO
Use Paddle Executor: False
Transform Order: 
--transform op: Resize
--transform op: Normalize
--transform op: Permute
--------------------------------------------
Inference: 988.569974899292 ms per batch image
class_id:0, confidence:0.9984,left_top:[308.86,80.42], right_bottom:[386.09,156.56]
class_id:0, confidence:0.9983,left_top:[7.50,79.58], right_bottom:[83.79,155.57]
save result to: ./output\captcha_301.png
{'boxes': array([[  0.       ,   0.9983951, 308.85504  ,  80.422195 , 386.08887  ,
        156.56035  ],
       [  0.       ,   0.9982862,   7.497284 ,  79.57634  ,  83.786804 ,
        155.5662   ]], dtype=float32)} ===============================================
识别效果如下

极验验证吗识别

																			![滑块识别1](./output/微信截图_20201230102926.png)

滑块识别2

快拿去玩吧

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使用百度开源ppyolo3目标检测模型识别滑动验证码 极验滑块验证码 识别成功率99% 🎯

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