YOLO研究与实践

YOLO研究与实践
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You only look once (YOLO) is a state-of-the-art, real-time object detection system. On a Titan X it processes images at 40-90 FPS and has a mAP on VOC 2007 of 78.6% and a mAP of 44.0% on COCO test-dev.

You Only Look Once:Unified, Real-Time Object Detection

http://v.youku.com/v_show/id_XMTg5MDc1NjA3Mg==.html 视频资料

参考资料：
http://pjreddie.com/darknet/yolo/

http://blog.csdn.net/fffupeng/article/details/52910895 YOLO

http://m.blog.csdn.net/article/details?id=53100791 YOLO(v1)用自己的数据集训练模型

http://lib.csdn.net/article/opencv/36548 Darknet(YOLO)安装与测试笔记（T440p+Ubuntu14.04+OpenCV2.4.10+CUDA7.5）

http://blog.csdn.net/sinat_30071459/article/details/53100791 [置顶] YOLO(v1)用自己的数据集训练模型

http://blog.csdn.net/eric_doug/article/details/51612601 YOLO实现之源码分析1

http://pjreddie.com/darknet/yolo/ YOLO: Real-Time Object Detection

http://blog.csdn.net/qianchenglenger/article/details/16907821 在windows下配置pthread

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