maudzung / TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch

Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
https://arxiv.org/pdf/2004.09927.pdf
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Infer the result of the video #17

Closed Deep-learning999 closed 3 years ago

Deep-learning999 commented 3 years ago

After three rounds of training, infer that the result of the video is like this, Screenshot_20210209_105132

how to get the scoring result, how to realize the effect of your demo video,like this Screenshot_20210209_104458_com huawei hidisk

and how to realize it with AE

TrinityNeo99 commented 3 years ago

I got the same results as yours.....

egehancosgun commented 3 years ago

Please tell me how did you get these results. I have implemented the same training strategy described as 1st phase->2nd phase->3rd phase then when I ran the test script I could not get the desired results. I also extracted the smooth labellings as desired. I did not make any other modifications other than batch size=4 since my gpu is not enough. What did you do different than me or what did I do wrong?

TrinityNeo99 commented 3 years ago

I can’t get the right result as the author, so I suspect this system is not right at all, after all the author didn’t give any code to get the effect as he showed in the demo.gif. Now I have abandoned the TTNet, maybe the author just want to issue a paper and made the fancy demo,gif

2021年4月16日 下午6:02,egehancosgun @.***> 写道:

Please tell me how did you get these results. I have implemented the same training strategy described as 1st phase->2nd phase->3rd phase then when I ran the test script I could not get the desired results. I also extracted the smooth labellings as desired. I did not make any other modifications other than batch size=4 since my gpu is not enough. What did you do different than me or what did I do wrong?

— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/maudzung/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch/issues/17#issuecomment-821066462, or unsubscribe https://github.com/notifications/unsubscribe-auth/AL4WDP3L4ES33KUOB4IQHDDTJADKFANCNFSM4XKE7IHQ.

egehancosgun commented 3 years ago

I can’t get the right result as the author, so I suspect this system is not right at all, after all the author didn’t give any code to get the effect as he showed in the demo.gif. Now I have abandoned the TTNet, maybe the author just want to issue a paper and made the fancy demo,gif

The demo result is from the original creators of the model and I believe that it is a commercial model and that's why the code is not available. This model is an implementation of the paper. But my problem is that I cannot even obtain this picture above. In the picture above the ball is pink indicating that it is predicted with the model. I have a term project and all I need is to get accurate results for the test phase and I do not care about the scoring updates or other fancy stuff. Can you please explain me how you trained your model and which parameters to get the picture above.

floriculture commented 3 years ago

I want to know why the X prediction of the coordinates of the ball is always 0,plz help me

TrinityNeo99 commented 3 years ago

I got the same result, and my X persists on zero

发自我的iPhone

在 2021年5月9日,下午10:58,floriculture @.***> 写道:

 I want to know why the X prediction of the coordinates of the ball is always 0,plz help me

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TrinityNeo99 commented 3 years ago

If you solve this problem, please tell me

发自我的iPhone

在 2021年5月9日,下午10:58,floriculture @.***> 写道:

 I want to know why the X prediction of the coordinates of the ball is always 0,plz help me

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

floriculture commented 3 years ago

If you solve this problem, please tell me 发自我的iPhone 在 2021年5月9日,下午10:58,floriculture @.***> 写道:  I want to know why the X prediction of the coordinates of the ball is always 0,plz help me — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe.

sure,I hope you do the same

floriculture commented 3 years ago

@Deep-learning999 Hello sir, We failed to get the correct coordinates of the ball. Could you please help to provide the pre-trained model weight or share training experience?

TrinityNeo99 commented 3 years ago

I trained the TTnet as the request of the author on our GPU system, but it works bad, and we can not get the correct coordination of the ball. So do you still want my model?(it is my pleasure to provide it with you)

发自我的iPhone

在 2021年5月13日,下午12:38,floriculture @.***> 写道:

 @Deep-learning999 Hello sir, We failed to get the correct coordinates of the ball. Could you please help to provide the pre-trained model weight or share training experience?

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floriculture commented 3 years ago

I want it, thank you for sharing.

TrinityNeo99 commented 3 years ago

I have sent the model by another email, please check it, good luck!

2021年5月13日 下午1:38,floriculture @.***> 写道:

I want it, thank you for sharing.

— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/maudzung/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch/issues/17#issuecomment-840315654, or unsubscribe https://github.com/notifications/unsubscribe-auth/AL4WDPYRT56F64OSJQ7DH4DTNNQTXANCNFSM4XKE7IHQ.

floriculture commented 3 years ago

Sorry, sir, I did not get it. Could you upload to internet disk?


发件人: TrinityNeo99 @.> 发送时间: 2021年5月13日 15:16 收件人: maudzung/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch @.> 抄送: floriculture @.>; Comment @.> 主题: Re: [maudzung/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch] Infer the result of the video (#17)

I have sent the model by another email, please check it, good luck!

2021年5月13日 下午1:38,floriculture @.***> 写道:

I want it, thank you for sharing.

― You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/maudzung/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch/issues/17#issuecomment-840315654, or unsubscribe https://github.com/notifications/unsubscribe-auth/AL4WDPYRT56F64OSJQ7DH4DTNNQTXANCNFSM4XKE7IHQ.

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TrinityNeo99 commented 3 years ago

Maybe it is in your trash 😂

2021年5月13日 下午4:17,floriculture @.***> 写道:

Sorry, sir, I did not get it. Could you upload to internet disk?


发件人: TrinityNeo99 @.> 发送时间: 2021年5月13日 15:16 收件人: maudzung/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch @.> 抄送: floriculture @.>; Comment @.> 主题: Re: [maudzung/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch] Infer the result of the video (#17)

I have sent the model by another email, please check it, good luck!

2021年5月13日 下午1:38,floriculture @.***> 写道:

I want it, thank you for sharing.

― You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/maudzung/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch/issues/17#issuecomment-840315654, or unsubscribe https://github.com/notifications/unsubscribe-auth/AL4WDPYRT56F64OSJQ7DH4DTNNQTXANCNFSM4XKE7IHQ.

― You are receiving this because you commented. Reply to this email directly, view it on GitHubhttps://github.com/maudzung/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch/issues/17#issuecomment-840370351, or unsubscribehttps://github.com/notifications/unsubscribe-auth/AK76JH2AFWV5KXXGBXQD7BLTNN4FXANCNFSM4XKE7IHQ. — You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/maudzung/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch/issues/17#issuecomment-840401035, or unsubscribe https://github.com/notifications/unsubscribe-auth/AL4WDP4IKDG4IYEILXEL56LTNODKXANCNFSM4XKE7IHQ.

TrinityNeo99 commented 3 years ago

从QQ邮箱发来的超大附件

ttnet_3rd_phase_epoch_30.pth (184.26M, 2021年06月12日 15:13 到期)进入下载页面:http://mail.qq.com/cgi-bin/ftnExs_download?k=60373965fae048971e653d1d1135014c040f5b5c515103571c020f50061807510904145c0302014e00040c505154520654535a563729331745595c11680641076e47510444506c0641585a0d6806034d414351650a&t=exs_ftn_download&code=179e753c

TrinityNeo99 commented 3 years ago

Oh, I got it, the email address is wrong, please give me your correct address

2021年5月13日 下午10:04,TrinityNEO @.***> 写道:

Maybe it is in your trash 😂 <粘贴的图形-2.png>

2021年5月13日 下午4:17,floriculture @. @.>> 写道:

Sorry, sir, I did not get it. Could you upload to internet disk?


发件人: TrinityNeo99 @.> 发送时间: 2021年5月13日 15:16 收件人: maudzung/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch @.> 抄送: floriculture @.>; Comment @.> 主题: Re: [maudzung/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch] Infer the result of the video (#17)

I have sent the model by another email, please check it, good luck!

2021年5月13日 下午1:38,floriculture @.***> 写道:

I want it, thank you for sharing.

― You are receiving this because you commented. Reply to this email directly, view it on GitHub <https://github.com/maudzung/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch/issues/17#issuecomment-840315654 https://github.com/maudzung/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch/issues/17#issuecomment-840315654>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AL4WDPYRT56F64OSJQ7DH4DTNNQTXANCNFSM4XKE7IHQ https://github.com/notifications/unsubscribe-auth/AL4WDPYRT56F64OSJQ7DH4DTNNQTXANCNFSM4XKE7IHQ>.

― You are receiving this because you commented. Reply to this email directly, view it on GitHub<https://github.com/maudzung/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch/issues/17#issuecomment-840370351 https://github.com/maudzung/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch/issues/17#issuecomment-840370351>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AK76JH2AFWV5KXXGBXQD7BLTNN4FXANCNFSM4XKE7IHQ https://github.com/notifications/unsubscribe-auth/AK76JH2AFWV5KXXGBXQD7BLTNN4FXANCNFSM4XKE7IHQ>. — You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/maudzung/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch/issues/17#issuecomment-840401035, or unsubscribe https://github.com/notifications/unsubscribe-auth/AL4WDP4IKDG4IYEILXEL56LTNODKXANCNFSM4XKE7IHQ.

floriculture commented 3 years ago

Thank you, I downloaded it from the website you shared

floriculture commented 3 years ago

My email is on my personal page, floriculturer@outlook.com

abedall commented 3 years ago

从QQ邮箱发来的超大附件 ttnet_3rd_phase_epoch_30.pth (184.26M, 2021年06月12日 15:13 到期)进入下载页面:http://mail.qq.com/cgi-bin/ftnExs_download?k=60373965fae048971e653d1d1135014c040f5b5c515103571c020f50061807510904145c0302014e00040c505154520654535a563729331745595c11680641076e47510444506c0641585a0d6806034d414351650a&t=exs_ftn_download&code=179e753c

hey sir...can you reupload your model its deleted..please?? and if you get abetter model will you uploaded? thank you

abedall commented 3 years ago

Thank you, I downloaded it from the website you shared

can you upload the model please??

lirunsheng2008 commented 2 years ago

从QQ邮箱发来的超大附件ttnet_3rd_phase_epoch_30.pth(184.26M,2021年06月12日15:13到期)进入下载页面:http://mail.qq.com/cgi-bin/ftnExs_download?k=60373965fae048971e653d1d1135014c040f5b5c515103571c020f50061807510904145c0302014e00040c505154520654535a563729331745595c11680641076e47510444506c0641585a0d6806034d414351650a&t =exs_ftn_download&code=179e753c

嘿先生...你可以重新上传你的模型它已删除..拜托? 如果你得到更好的模型,你会上传吗?谢谢

Could you please send me a weight document? Thank you very much,my email address is lirunsheng27@163.com.

lirunsheng2008 commented 2 years ago

Could you please send me the file ttnet_3rd_phase_epoch_30.pth? Thank you very much,my email address is lirunsheng27@163.com.

Razamalik4497 commented 2 years ago

@TrinityNeo99 Hello Sir , I check the model file on the link but it was expired, Can I get the model file? thank you muhammadraza4497@gmail.com

rose-jinyang commented 2 years ago

Hi @TrinityNeo99 How are you? Could u send me the model trained on your side to samkmi80@gmail.com? Thanks

yuyusmile commented 2 years ago

Hi @TrinityNeo99 How are you? Could u send me the model trained on your side to 348848185@qq.com? Thanks

HansolWorld commented 1 year ago

Hi @TrinityNeo99 How are you? Could u send me the model trained on your side to hs9269@gmail.com? Thanks