车牌检测-基于LBP级联+卷积神经网络回归实现车牌检测算法-附项目源码-优质项目实战.zip资源-CSDN文库

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png：18个

xml：15个

h5：2个

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车牌检测

卷积神经网络

项目源码

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车牌检测_基于LBP级联+卷积神经网络回归实现车牌检测算法_附项目源码_优质项目实战.zip （39个子文件）

车牌检测_基于LBP级联+卷积神经网络回归实现车牌检测算法_附项目源码_优质项目实战

training_judging.pyc 4KB

out-long

stage11.xml 4KB

stage3.xml 2KB

stage8.xml 3KB

stage1.xml 1KB

stage6.xml 3KB

stage2.xml 1KB

stage7.xml 3KB

stage10.xml 3KB

stage9.xml 3KB

stage12.xml 3KB

stage4.xml 1KB

params.xml 613B

stage5.xml 3KB

cascade.xml 56KB

stage0.xml 1KB

training_judging.py 3KB

images

19.png 1.05MB

10.png 679KB

9.png 1.38MB

3.png 671KB

12.png 707KB

15.png 1MB

1.png 891KB

11.png 991KB

13.png 1.47MB

6.png 1.17MB

5.png 1.2MB

4.png 974KB

8.png 1.1MB

16.png 884KB

7.png 739KB

18.png 795KB

2.png 2.96MB

14.png 984KB

README.md 1KB

judge1.h5 2.38MB

model_t5_regression.h5 150KB

test_detection.py 7KB

### Rubost Chinese License Plate Locate Using LBP+adaboost with CNN regression #### Result: ![Screen Shot 2017-03-06 at 10.24.48 PM](images/1.png) ![Screen Shot 2017-03-06 at 10.25.00 PM](images/2.png) ![Screen Shot 2017-03-06 at 10.25.07 PM](images/3.png) ![Screen Shot 2017-03-06 at 10.25.10 PM](images/4.png) ![Screen Shot 2017-03-06 at 10.25.13 PM](images/5.png) ![Screen Shot 2017-03-06 at 10.25.18 PM](images/6.png) ![Screen Shot 2017-03-06 at 10.25.22 PM](images/7.png) ![Screen Shot 2017-03-06 at 10.25.26 PM](images/8.png) ![Screen Shot 2017-03-06 at 10.25.30 PM](images/9.png) ![Screen Shot 2017-03-06 at 10.25.37 PM](images/10.png) ![Screen Shot 2017-03-06 at 10.25.52 PM](images/11.png) ![Screen Shot 2017-03-06 at 10.25.55 PM](images/12.png) ![Screen Shot 2017-03-06 at 10.26.01 PM](images/13.png) ![Screen Shot 2017-03-06 at 10.26.05 PM](images/14.png) ![Screen Shot 2017-03-06 at 10.26.08 PM](images/15.png) ![Screen Shot 2017-03-06 at 10.26.11 PM](images/16.png) ### Dependency - Opencv - Keras(theano-backend " tf data order") - Numpy

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