sisrfeng

Using [k-means](https://github.com/lars76/kmeans-anchor-boxes) , I get Boxes: [[0.0671875 0.09814815] [0.07552083 0.11388889] [0.05572917 0.08796296] [0.24010417 0.17222222] [0.32552083 0.26759259] [0.0953125 0.12685185] [0.05833333 0.08333333] [0.12604167 0.14074074] [0.18177083 0.15740741]] Then copy and paste the numbers...

What is the FPS(testing speed)?

3

Is darknet much faster than pytorch implementation? While fps is 42 on the paper of **_gaussian yolov3_**(uses darknet), I get 10fps with **_pytorch_GaussianYOLOv3_** https://github.com/motokimura/PyTorch_Gaussian_YOLOv3 (forked from this repo) using Tesla...

Would you mind telling me how to visualize the MTMC tracking result like the one you show on the CMT31_T1.pptx? 

About "Trajectory Based Camera Link Models" on the slides

1

I can not understand these slide. Would you mind explaining them in more details? Or do you have a video of your presentation in the workshop? 


Won't opencv-python and opencv-contrib-python conflict with each other? They are both in requirements!

3

请提供下述完整信息以便快速定位问题/Please provide the following information to quickly locate the problem - 系统环境/System Environment： - 版本号/Version：Paddle： PaddleOCR： 问题相关组件/Related components： - 运行指令/Command Code： - 完整报错/Complete Error Message： 我们提供了AceIssueSolver来帮助你解答问题，你是否想要它来解答(请填写yes/no)?/We provide AceIssueSolver to solve...

文档有小错误

1

### Reminder - [x] I have read the above rules and searched the existing issues. ### System Info 暂无 ### Reproduction 暂无 ### Others https://llamafactory.readthedocs.io/en/latest/advanced/trainers.html > 确保两个模型都能良好运行是一个具有挑战性的任务。 一种实现方式是使用近端策略优化 > 既然同时保证两个语言模型与奖励模型的良好运行是有挑战性的...

请问有训练检测器的代码吗？

2

我想在cityflow、UA-DETRAC、KITTI等数据集上训练ICCV2019的检测器Gaussian YOLO v3，请问这份code有实现或者可以参考吗？我没找到。谢谢！

请问有关于车的MTMC和ReID的其他学习资料吗？

4

感谢作者的分享！  这个链接上面的repo都比较少人关注，cdsn或者知乎上也没看到关于这个比赛的论文和代码的解读。 有几篇论文有挺多语法错误。 是不是相关任务比较难，做得人比较少？最近要做车的MTMC和ReID，请问有其他学习资料吗？