Closed randomNNN closed 3 years ago
Hi, we adopt many default settings in Detectron2. And we only give the modification configs in this repo. Detailed setting for SOLVER.MOMENTUM
can be found here.
Thank for your reply.When I first saw your paper,the YOLOF's network architecture really surprised me,the siso encoder and uniform matcher are brilliant.At the same time, I have an another problem,if I wanna instead the backbone of mobilenetv3,and use the CA attention in the backbone.Can the OD model work well?Appreciate!------------------ 原始邮件 ------------------ @.> 发送时间: 2021年6月17日(星期四) 下午5:17 @.>; @.**@.>; 主题: Re: [chensnathan/YOLOF] A problem about the code at train_net.py ? (#23)
Sorry for the late reply.
YOLOF can definitely work well when you change a new backbone. You can try it with mobilenetv3.
Thanks for your reply.I will try to instead the backbone of lightwight model.And I have a presumptuous request.Can you give me a weChat、QQ or mailbox to communicate more detail.It's ok to refuse if this would bother you.Appreciate!
------------------ 原始邮件 ------------------ 发件人: "qiang @.>; 发送时间: 2021年6月20日(星期天) 晚上7:34 收件人: @.>; 抄送: @.>; @.>; 主题: Re: [chensnathan/YOLOF] A problem about the code at train_net.py ? (#23)
Sorry for the late reply.
YOLOF can definitely work well when you change a new backbone. You can try it with mobilenetv3.
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qiang.chen@nlpr.ia.ac.cn
If you have any questions, feel free to drop me an email.
Thanks!
------------------ 原始邮件 ------------------ 发件人: "qiang @.>; 发送时间: 2021年6月21日(星期一) 下午5:18 收件人: @.>; 抄送: @.>; @.>; 主题: Re: [chensnathan/YOLOF] A problem about the code at train_net.py ? (#23)
@.***
If you have any questions, feel free to drop me an email.
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Dear author,I have had a problem when I saw the code:
optimizer = torch.optim.SGD( params, cfg.SOLVER.BASE_LR, momentum=cfg.SOLVER.MOMENTUM )where you aren't define the cfg.SOLVER.MOMENTUM in the configs.Appreciate!