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Non-Maximum-Suppression

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描述非极大值抑制（Non-Maximum-Suppression，NMS）

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# Non-Maximum-Suppression
**非极大值抑制（Non-Maximum-Suppression，NMS）**是抑制非极大值的元素，可以理解为局部最大搜索。NMS算法在计算机视觉中有广泛应用，特别是目标检测领域。本文将以目标检测举例，讨论NMS算法的实现过程。

TODO:

# 参考

- [《Efficient Non-Maximum Suppression》](http://www.vision.ee.ethz.ch/publications/papers/proceedings/eth_biwi_00446.pdf)
- [非极大值抑制（Non-Maximum Suppression，NMS）](https://www.cnblogs.com/makefile/p/nms.html)
- [NMS——非极大值抑制](https://blog.csdn.net/shuzfan/article/details/52711706)
- [非极大抑制（Non-Maximum Suppression）](https://blog.csdn.net/danieljianfeng/article/details/43084875)
- [吴恩达（Non-max Suppression）视频](https://zh.coursera.org/lecture/convolutional-neural-networks/non-max-suppression-dvrjH)
- [Non-Maximum Suppression for Object Detection in Python](https://www.pyimagesearch.com/2014/11/17/non-maximum-suppression-object-detection-python/)
- [非极大值抑制(Non-Maximum Suppression)](http://noahsnail.com/2017/12/13/2017-12-13-非极大值抑制(Non-Maximum%20Suppression)/)
- [nonMaximumSuppression](https://github.com/watersink/nonMaximumSuppression)：非极大值抑制，包含了matlab，c,，c++，3种实现的代码
- [Non-Maximum-Suppression](https://github.com/Nuzhny007/Non-Maximum-Suppression)：C++实现
- [deep-learning-tools](https://github.com/SnailTyan/deep-learning-tools)：Python实现

Non-Maximum-Suppression

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