yolo源码分析

蔚落 2022-07-13 11:44 86阅读 0赞

[YOLO源码详解（一）-训练][YOLO_-]

[YOLO源码详解（二）- 函数剖析][YOLO_- 1]

[YOLO源码详解（三）- 前向传播（forward）][YOLO_- _forward]

[YOLO源码详解（四）- 反向传播（back propagation）][YOLO_- _back propagation]

[YOLO源码详解（五）- YOLO中的7\*7个grid和RPN中的9个anchors][YOLO_- YOLO_7_7_grid_RPN_9_anchors]

[YOLO源码详解（五）-追本溯源7\*7个grid][YOLO_-_7_7_grid]

[YOLO源码分析之data.c][YOLO_data.c]

[YOLO源码分析之detector.c][YOLO_detector.c]

[用YOLOv2模型训练VOC数据集][YOLOv2_VOC]

[YOLOv2如何fine-tuning？][YOLOv2_fine-tuning]

[YOLO源码解析][YOLO]

[yolo博客收集][yolo]

http://blog.csdn.net/u011961856/article/category/7070497

http://blog.csdn.net/u012235274/article/category/6204386

# [tiny-yolo训练测试（coco训练集混合自己的voc训练集）--20170829][tiny-yolo_coco_voc_--20170829] #

[caffe-yolo][]\-不支持训练

[tensorflow-yolo-支持训练][tensorflow-yolo-]

[caffe-yolo][caffe-yolo 1]\-支持训练

https://github.com/zhreshold/mxnet-yolo

https://github.com/pjreddie/darknet

[YOLO_-]: http://blog.csdn.net/u014540717/article/details/53114067
[YOLO_- 1]: http://blog.csdn.net/u014540717/article/details/53193433
[YOLO_- _forward]: http://blog.csdn.net/u014540717/article/details/53232426
[YOLO_- _back propagation]: http://blog.csdn.net/u014540717/article/details/53485680
[YOLO_- YOLO_7_7_grid_RPN_9_anchors]: http://blog.csdn.net/u014540717/article/details/53522083
[YOLO_-_7_7_grid]: http://blog.csdn.net/u014540717/article/details/53667416
[YOLO_data.c]: http://blog.csdn.net/a130098300/article/details/53557010
[YOLO_detector.c]: http://blog.csdn.net/a130098300/article/details/53558004
[YOLOv2_VOC]: http://blog.csdn.net/u014540717/article/details/53411948
[YOLOv2_fine-tuning]: http://blog.csdn.net/u014540717/article/details/53424843
[YOLO]: https://zhuanlan.zhihu.com/p/25053311
[yolo]: http://blog.csdn.net/lilai619/article/details/70308436
[tiny-yolo_coco_voc_--20170829]: http://blog.csdn.net/jocelyn870/article/details/77868908
[caffe-yolo]: https://github.com/xingwangsfu/caffe-yolo
[tensorflow-yolo-]: https://github.com/nilboy/tensorflow-yolo
[caffe-yolo 1]: https://github.com/yeahkun/caffe-yolo