Comments (8)
您好,这个问题我又解决了,是内存不够的问题,还是得加硬件
才行。借了实验室小伙伴的内存条凑成了32g内存。据我实际操作,按照您提供的那20个视频数据生成训练数据时,大概要用23g
左右的运行内存。
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我没遇到过这个问题,你用vscode单步调试一下,找找是那一步代码错了
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------------------ 原始邮件 ------------------ 发件人: "HonglinChu/SiamTrackers" <[email protected]>; 发送时间: 2020年12月12日(星期六) 晚上11:50 收件人: "HonglinChu/SiamTrackers"<[email protected]>; 抄送: "Subscribed"<[email protected]>; 主题: [HonglinChu/SiamTrackers] 关于UpdateNet训练连数据集问题 (#24) 您好,我用您提供的程序在ubuntu16.04下面生成训练数据时出现MemoryError问题。当我按照网上的说明 cat /proc/sys/vm/overcommit_memory改为1时,又显示已杀死,没法生成训练数据。请问您是否遇到过同样的问题。或者您是否能够把训练数据分享一下,谢谢。 — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub, or unsubscribe.
您好,这个问题我已经解决了。但是我生成训练数据后,训练时始终没有达到0.403,最多0.363好像。不知道为什么。是我哪里没考虑到吗?还有您哪个README里面讲的我没有看太懂。每个阶段怎么训练的?
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还有一点,我是觉得updatenet只用了两层1x1的效果就挺好的了,感觉不太合理啊。毕竟两层线性的网络,而且是1x1的网络融合能力有点差吧,原作者为什么不加深一下? 趁着您在线,多问几个问题。^_^
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我没尝试过加深,应该是两层就够了,两层1x1,只用了一个relu,个人感觉非线性表达不够。Updatenet主要是进行通道交互,1x1卷积进行通道降维和升维来实现。关于updatenet可以微信上交流
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------------------ 原始邮件 ------------------ 发件人: "alfredcheng"<[email protected]>; 发送时间: 2020年12月14日(星期一) 下午3:10 收件人: "HonglinChu/SiamTrackers"<[email protected]>; 抄送: "SmallLion🦁️"<[email protected]>; "Comment"<[email protected]>; 主题: Re: [HonglinChu/SiamTrackers] 关于UpdateNet训练连数据集问题 (#24) 还有一点,我是觉得updatenet只用了两层1x1的效果就挺好的了,感觉不太合理啊。毕竟两层线性的网络,而且是1x1的网络融合能力有点差吧,原作者为什么不加深一下? — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe.
您好,您的微信号是多少啊,我没找到。^-^
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Related Issues (20)
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