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chenyuntc / simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper
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173it [01:19, 2.48it/s] ？？？ #152

Open yilonghe opened 5 years ago

yilonghe commented 5 years ago

load data model construct completed WARNING:root:Setting up a new session... WARNING:visdom:Without the incoming socket you cannot receive events from the server or register event handlers to your Visdom client. 173it [01:19, 2.48it/s]

pmy-111 commented 5 years ago

我也遇到这个问题，您解决这个问题了吗

yilonghe commented 5 years ago

I'm sorry. I'd love to help you, but it's been too long，I don't remember anything about the problem。

---Original--- From: "pmy-111"<notifications@github.com> Date: Thu, Nov 7, 2019 18:39 PM To: "chenyuntc/simple-faster-rcnn-pytorch"<simple-faster-rcnn-pytorch@noreply.github.com>; Cc: "Author"<author@noreply.github.com>;"yilonghe"<625416329@qq.com>; Subject: Re: [chenyuntc/simple-faster-rcnn-pytorch] 173it [01:19, 2.48it/s] ？？？ (#152)

我也遇到这个问题，您解决这个问题了吗

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Leonliou commented 4 years ago

我也遇到这个问题，您解决这个问题了吗

朋友，你解决了吗？可否交流

jzp163 commented 4 years ago

我也遇到这个问题，您解决这个问题了吗

你好，我也出现了这个问题，请问您现在解决了吗

jzp163 commented 4 years ago

我也遇到这个问题，您解决这个问题了吗

朋友，你解决了吗？可否交流

您好，请问您现在解决了吗？

disguise6 commented 4 years ago

我也遇到这个问题，您解决这个问题了吗 朋友，你解决了吗？可否交流

您好，请问您现在解决了吗？

朋友你好，你解决了没？

jzp163 commented 4 years ago

我也遇到这个问题，您解决这个问题了吗 朋友，你解决了吗？可否交流

您好，请问您现在解决了吗？

朋友你好，你解决了没？

我用的是caffe预训练的模型，将visdom的环境设置为fasterrcnn-caffe,等一会就好了

disguise6 commented 4 years ago

我也遇到这个问题，您解决这个问题了吗 朋友，你解决了吗？可否交流 您好，请问您现在解决了吗？ 朋友你好，你解决了没？

我用的是caffe预训练的模型，将visdom的环境设置为fasterrcnn-caffe,等一会就好了

对不起，我是小白，没用过visdom，想问得仔细点可以吗？

  1. 就是其他都按照readme里的步骤来，但是要把http://localhost:8097/里的env选择为fastrcnn-caffe,是这样吗？
  2. 请问你有出现Without the incoming socket you cannot receive events from the server or register event handlers to your Visdom client.这个问题吗？
jzp163 commented 4 years ago

我也遇到这个问题，您解决这个问题了吗 朋友，你解决了吗？可否交流 您好，请问您现在解决了吗？ 朋友你好，你解决了没？

我用的是caffe预训练的模型，将visdom的环境设置为fasterrcnn-caffe,等一会就好了

对不起，我是小白，没用过visdom，想问得仔细点可以吗？

就是其他都按照readme里的步骤来，但是要把http://localhost:8097/里的env选择为fastrcnn-caffe,是这样吗？ 请问你有出现Without the incoming socket you cannot receive events from the server or register event handlers to your Visdom client.这个问题吗？

image就是这里。第二个我这边虽然还有这样的警告，但是不影响了

disguise6 commented 4 years ago

我也遇到这个问题，您解决这个问题了吗 朋友，你解决了吗？可否交流 您好，请问您现在解决了吗？ 朋友你好，你解决了没？ 我用的是caffe预训练的模型，将visdom的环境设置为fasterrcnn-caffe,等一会就好了 对不起，我是小白，没用过visdom，想问得仔细点可以吗？ 就是其他都按照readme里的步骤来，但是要把http://localhost:8097/里的env选择为fastrcnn-caffe,是这样吗？ 请问你有出现Without the incoming socket you cannot receive events from the server or register event handlers to your Visdom client.这个问题吗？

image就是这里。第二个我这边虽然还有这样的警告，但是不影响了

噢，173it [01:19, 2.48it/s]这样的意思是已经在训练了对吗，要等几千个it之后才会结束？

jzp163 commented 4 years ago

我也遇到这个问题，您解决这个问题了吗 朋友，你解决了吗？可否交流 您好，请问您现在解决了吗？ 朋友你好，你解决了没？ 我用的是caffe预训练的模型，将visdom的环境设置为fasterrcnn-caffe,等一会就好了 对不起，我是小白，没用过visdom，想问得仔细点可以吗？ 就是其他都按照readme里的步骤来，但是要把http://localhost:8097/里的env选择为fastrcnn-caffe,是这样吗？ 请问你有出现Without the incoming socket you cannot receive events from the server or register event handlers to your Visdom client.这个问题吗？

就是这里。第二个我这边虽然还有这样的警告，但是不影响了

噢，173it [01:19, 2.48it/s]这样的意思是已经在训练了对吗，要等几千个it之后才会结束？

对的

disguise6 commented 4 years ago

我也遇到这个问题，您解决这个问题了吗 朋友，你解决了吗？可否交流 您好，请问您现在解决了吗？ 朋友你好，你解决了没？ 我用的是caffe预训练的模型，将visdom的环境设置为fasterrcnn-caffe,等一会就好了 对不起，我是小白，没用过visdom，想问得仔细点可以吗？ 就是其他都按照readme里的步骤来，但是要把http://localhost:8097/里的env选择为fastrcnn-caffe,是这样吗？ 请问你有出现Without the incoming socket you cannot receive events from the server or register event handlers to your Visdom client.这个问题吗？ 就是这里。第二个我这边虽然还有这样的警告，但是不影响了 噢，173it [01:19, 2.48it/s]这样的意思是已经在训练了对吗，要等几千个it之后才会结束？

对的

好的，谢谢你啦

yilonghe commented 3 years ago

hi, when i reading A2Net,i find your address ,Where did you download the ActivityNett1.3 feature data set ?

jzp163 commented 3 years ago

hi, when i reading A2Net,i find your address ,Where did you download the ActivityNett1.3 feature data set ?

sorry I forgot that

yilonghe commented 3 years ago

Thanks for your reply Good luck 

------------------ 原始邮件 ------------------ 发件人: "chenyuntc/simple-faster-rcnn-pytorch" <notifications@github.com>; 发送时间: 2021年1月6日(星期三) 下午4:29 收件人: "chenyuntc/simple-faster-rcnn-pytorch"<simple-faster-rcnn-pytorch@noreply.github.com>; 抄送: "H"<625416329@qq.com>;"Author"<author@noreply.github.com>; 主题: Re: [chenyuntc/simple-faster-rcnn-pytorch] 173it [01:19, 2.48it/s] ？？？ (#152)

hi, when i reading A2Net,i find your address ,Where did you download the ActivityNett1.3 feature data set ?

sorry I forgot that

— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.

jzp163 commented 3 years ago

If you want insulator data sets, this is it. https://github.com/InsulatorData/InsulatorDataSet  I hope it can help you

------------------ 原始邮件 ------------------ 发件人: "chenyuntc/simple-faster-rcnn-pytorch" <notifications@github.com>; 发送时间: 2021年1月6日(星期三) 下午4:41 收件人: "chenyuntc/simple-faster-rcnn-pytorch"<simple-faster-rcnn-pytorch@noreply.github.com>; 抄送: "1366656731"<1366656731@qq.com>;"Comment"<comment@noreply.github.com>; 主题: Re: [chenyuntc/simple-faster-rcnn-pytorch] 173it [01:19, 2.48it/s] ？？？ (#152)

Thanks for your reply Good luck&nbsp;

------------------&nbsp;原始邮件&nbsp;------------------ 发件人: "chenyuntc/simple-faster-rcnn-pytorch" <notifications@github.com&gt;; 发送时间:&nbsp;2021年1月6日(星期三) 下午4:29 收件人:&nbsp;"chenyuntc/simple-faster-rcnn-pytorch"<simple-faster-rcnn-pytorch@noreply.github.com&gt;; 抄送:&nbsp;"H"<625416329@qq.com&gt;;"Author"<author@noreply.github.com&gt;; 主题:&nbsp;Re: [chenyuntc/simple-faster-rcnn-pytorch] 173it [01:19, 2.48it/s] ？？？ (#152)

hi, when i reading A2Net,i find your address ,Where did you download the ActivityNett1.3 feature data set ?

sorry I forgot that

— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe. — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe.

yilonghe commented 3 years ago

Thanks very much for your reply  I read the context of the websit, maybe it's not what I want. My reserch  area is temporal action detection,my question about the paper 《 Revisiting Anchor Mechanisms for Temporal Action Localization 》 ------------------ 原始邮件 ------------------ 发件人: "chenyuntc/simple-faster-rcnn-pytorch" <notifications@github.com>; 发送时间: 2021年1月10日(星期天) 中午12:11 收件人: "chenyuntc/simple-faster-rcnn-pytorch"<simple-faster-rcnn-pytorch@noreply.github.com>; 抄送: "H"<625416329@qq.com>;"Author"<author@noreply.github.com>; 主题: Re: [chenyuntc/simple-faster-rcnn-pytorch] 173it [01:19, 2.48it/s] ？？？ (#152)

If you want insulator data sets, this is it.&nbsp;https://github.com/InsulatorData/InsulatorDataSet &nbsp;I hope it can help you

------------------&nbsp;原始邮件&nbsp;------------------ 发件人: "chenyuntc/simple-faster-rcnn-pytorch" <notifications@github.com&gt;; 发送时间:&nbsp;2021年1月6日(星期三) 下午4:41 收件人:&nbsp;"chenyuntc/simple-faster-rcnn-pytorch"<simple-faster-rcnn-pytorch@noreply.github.com&gt;; 抄送:&nbsp;"1366656731"<1366656731@qq.com&gt;;"Comment"<comment@noreply.github.com&gt;; 主题:&nbsp;Re: [chenyuntc/simple-faster-rcnn-pytorch] 173it [01:19, 2.48it/s] ？？？ (#152)

Thanks for your reply
Good luck&amp;nbsp;

------------------&amp;nbsp;原始邮件&amp;nbsp;------------------
发件人: "chenyuntc/simple-faster-rcnn-pytorch" <notifications@github.com&amp;gt;;
发送时间:&amp;nbsp;2021年1月6日(星期三) 下午4:29
收件人:&amp;nbsp;"chenyuntc/simple-faster-rcnn-pytorch"<simple-faster-rcnn-pytorch@noreply.github.com&amp;gt;;
抄送:&amp;nbsp;"H"<625416329@qq.com&amp;gt;;"Author"<author@noreply.github.com&amp;gt;;
主题:&amp;nbsp;Re: [chenyuntc/simple-faster-rcnn-pytorch] 173it [01:19, 2.48it/s] ？？？ (#152)

hi, when i reading A2Net,i find your address ,Where did you download the ActivityNett1.3 feature data set ?

sorry I forgot that

—
You are receiving this because you authored the thread.
Reply to this email directly, view it on GitHub, or unsubscribe.
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jzp163 commented 3 years ago

Sorry,I don't know about this aspect, I regret that I cannot help you

---Original--- From: "yilonghe"<notifications@github.com> Date: Sun, Jan 10, 2021 12:49 PM To: "chenyuntc/simple-faster-rcnn-pytorch"<simple-faster-rcnn-pytorch@noreply.github.com>; Cc: "jzp163"<1366656731@qq.com>;"Comment"<comment@noreply.github.com>; Subject: Re: [chenyuntc/simple-faster-rcnn-pytorch] 173it [01:19, 2.48it/s] ？？？ (#152)

Thanks very much for your reply&nbsp; I read the context of the websit, maybe it's not what I want. My reserch&nbsp; area is temporal action detection,my question about the paper 《&nbsp;Revisiting Anchor Mechanisms for Temporal Action Localization&nbsp;》 ------------------&nbsp;原始邮件&nbsp;------------------ 发件人: "chenyuntc/simple-faster-rcnn-pytorch" <notifications@github.com&gt;; 发送时间:&nbsp;2021年1月10日(星期天) 中午12:11 收件人:&nbsp;"chenyuntc/simple-faster-rcnn-pytorch"<simple-faster-rcnn-pytorch@noreply.github.com&gt;; 抄送:&nbsp;"H"<625416329@qq.com&gt;;"Author"<author@noreply.github.com&gt;; 主题:&nbsp;Re: [chenyuntc/simple-faster-rcnn-pytorch] 173it [01:19, 2.48it/s] ？？？ (#152)

If you want insulator data sets, this is it.&amp;nbsp;https://github.com/InsulatorData/InsulatorDataSet
&amp;nbsp;I hope it can help you

------------------&amp;nbsp;原始邮件&amp;nbsp;------------------
发件人: "chenyuntc/simple-faster-rcnn-pytorch" <notifications@github.com&amp;gt;;
发送时间:&amp;nbsp;2021年1月6日(星期三) 下午4:41
收件人:&amp;nbsp;"chenyuntc/simple-faster-rcnn-pytorch"<simple-faster-rcnn-pytorch@noreply.github.com&amp;gt;;
抄送:&amp;nbsp;"1366656731"<1366656731@qq.com&amp;gt;;"Comment"<comment@noreply.github.com&amp;gt;;
主题:&amp;nbsp;Re: [chenyuntc/simple-faster-rcnn-pytorch] 173it [01:19, 2.48it/s] ？？？ (#152)

Thanks for your reply
Good luck&amp;amp;nbsp;

------------------&amp;amp;nbsp;原始邮件&amp;amp;nbsp;------------------
发件人: "chenyuntc/simple-faster-rcnn-pytorch" <notifications@github.com&amp;amp;gt;;
发送时间:&amp;amp;nbsp;2021年1月6日(星期三) 下午4:29
收件人:&amp;amp;nbsp;"chenyuntc/simple-faster-rcnn-pytorch"<simple-faster-rcnn-pytorch@noreply.github.com&amp;amp;gt;;
抄送:&amp;amp;nbsp;"H"<625416329@qq.com&amp;amp;gt;;"Author"<author@noreply.github.com&amp;amp;gt;;
主题:&amp;amp;nbsp;Re: [chenyuntc/simple-faster-rcnn-pytorch] 173it [01:19, 2.48it/s] ？？？ (#152)

hi, when i reading A2Net,i find your address ,Where did you download the ActivityNett1.3 feature data set ?

sorry I forgot that

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You are receiving this because you authored the thread.
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yilonghe commented 3 years ago

anyway,thanks very much,goog lucy for you. ------------------ 原始邮件 ------------------ 发件人: "chenyuntc/simple-faster-rcnn-pytorch" <notifications@github.com>; 发送时间: 2021年1月10日(星期天) 中午12:55 收件人: "chenyuntc/simple-faster-rcnn-pytorch"<simple-faster-rcnn-pytorch@noreply.github.com>; 抄送: "H"<625416329@qq.com>;"Author"<author@noreply.github.com>; 主题: Re: [chenyuntc/simple-faster-rcnn-pytorch] 173it [01:19, 2.48it/s] ？？？ (#152)

Sorry,I don't know about this aspect, I regret that I cannot help you

---Original--- From: "yilonghe"<notifications@github.com&gt; Date: Sun, Jan 10, 2021 12:49 PM To: "chenyuntc/simple-faster-rcnn-pytorch"<simple-faster-rcnn-pytorch@noreply.github.com&gt;; Cc: "jzp163"<1366656731@qq.com&gt;;"Comment"<comment@noreply.github.com&gt;; Subject: Re: [chenyuntc/simple-faster-rcnn-pytorch] 173it [01:19, 2.48it/s] ？？？ (#152)

Thanks very much for your reply&amp;nbsp;
I read the context of the websit, maybe it's not what I want. My reserch&amp;nbsp;
area is temporal action detection,my question about the paper
《&amp;nbsp;Revisiting Anchor Mechanisms for Temporal Action Localization&amp;nbsp;》
------------------&amp;nbsp;原始邮件&amp;nbsp;------------------
发件人: "chenyuntc/simple-faster-rcnn-pytorch" <notifications@github.com&amp;gt;;
发送时间:&amp;nbsp;2021年1月10日(星期天) 中午12:11
收件人:&amp;nbsp;"chenyuntc/simple-faster-rcnn-pytorch"<simple-faster-rcnn-pytorch@noreply.github.com&amp;gt;;
抄送:&amp;nbsp;"H"<625416329@qq.com&amp;gt;;"Author"<author@noreply.github.com&amp;gt;;
主题:&amp;nbsp;Re: [chenyuntc/simple-faster-rcnn-pytorch] 173it [01:19, 2.48it/s] ？？？ (#152)

If you want insulator data sets, this is it.&amp;amp;nbsp;https://github.com/InsulatorData/InsulatorDataSet
&amp;amp;nbsp;I hope it can help you

------------------&amp;amp;nbsp;原始邮件&amp;amp;nbsp;------------------
发件人: "chenyuntc/simple-faster-rcnn-pytorch" <notifications@github.com&amp;amp;gt;;
发送时间:&amp;amp;nbsp;2021年1月6日(星期三) 下午4:41
收件人:&amp;amp;nbsp;"chenyuntc/simple-faster-rcnn-pytorch"<simple-faster-rcnn-pytorch@noreply.github.com&amp;amp;gt;;
抄送:&amp;amp;nbsp;"1366656731"<1366656731@qq.com&amp;amp;gt;;"Comment"<comment@noreply.github.com&amp;amp;gt;;
主题:&amp;amp;nbsp;Re: [chenyuntc/simple-faster-rcnn-pytorch] 173it [01:19, 2.48it/s] ？？？ (#152) 

Thanks for your reply    
Good luck&amp;amp;amp;amp;nbsp;    

------------------&amp;amp;amp;amp;nbsp;原始邮件&amp;amp;amp;amp;nbsp;------------------    
发件人:                                                                                                                        "chenyuntc/simple-faster-rcnn-pytorch"                                                                                    <notifications@github.com&amp;amp;amp;amp;gt;;    
发送时间:&amp;amp;amp;amp;nbsp;2021年1月6日(星期三) 下午4:29    
收件人:&amp;amp;amp;amp;nbsp;"chenyuntc/simple-faster-rcnn-pytorch"<simple-faster-rcnn-pytorch@noreply.github.com&amp;amp;amp;amp;gt;;    
抄送:&amp;amp;amp;amp;nbsp;"H"<625416329@qq.com&amp;amp;amp;amp;gt;;"Author"<author@noreply.github.com&amp;amp;amp;amp;gt;;    
主题:&amp;amp;amp;amp;nbsp;Re: [chenyuntc/simple-faster-rcnn-pytorch] 173it [01:19,  2.48it/s] ？？？ (#152)    

hi, when i reading A2Net,i find your address ,Where did you download the ActivityNett1.3 feature data set ?    

sorry I forgot that    

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You are receiving this because you commented.
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