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Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar' #8

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1013hdh opened this issue Mar 10, 2021 · 26 comments
Open

Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar' #8

1013hdh opened this issue Mar 10, 2021 · 26 comments

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@1013hdh
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1013hdh commented Mar 10, 2021

亲爱的作者:
非常感谢您共享的代码。我正在进行的工作想要参考**MCF-Net“DenseNet121_v3_v1.tar”**训练模型(仅用于个人项目),但是您提供的链接已失效。能否重新上传或将文件发送到我的邮箱[email protected],感谢您的帮助,真诚期待您的回复!

@Wangsilu0117
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Wangsilu0117 commented Mar 29, 2022

请问您获得到作者提供的MCF-Net DenseNet121_v3_v1.tar文件了吗?现在我正在进行的工作也想参考作者提出的算法。如果您有了作者的最新文件,是否方便,麻烦您发送到我的邮箱[email protected]呢?

@liyuan-star
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您好,不知道您是否已经下载到 DenseNet121_v3_v1.tar文件,刚刚尝试发送给您,但是您的邮箱邮箱地址无效。

@Wangsilu0117
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Wangsilu0117 commented Apr 22, 2022 via email

@charleneolive
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Do you have the trained model? Do you mind sending to me? [email protected]

@lmylhy
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lmylhy commented Jan 3, 2023

请问您获得到作者提供的MCF-Net DenseNet121_v3_v1.tar文件了吗?现在我正在进行的工作也想参考作者提出的算法。如果您有了作者的最新文件,是否方便,麻烦您发送到我的邮箱[email protected]呢?

您好,请问能否分享一下该模型的文件呢

@Rez1001
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Rez1001 commented Jun 18, 2023

Hello, I need trained DenseNet121_v3_v1.tar for my research paper, please send me a download link if you have access to this model. thank you
[email protected]
[email protected]

@Rez1001
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Rez1001 commented Jun 18, 2023

您好,不知道您是否已经下载到 DenseNet121_v3_v1.tar文件,刚刚尝试发送给您,但是您的邮箱邮箱地址无效。

i need this model to use in my article can you send trained model for me ?
this is my email :
[email protected]
[email protected]

@Xiaohuan-Ding
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Xiaohuan-Ding commented Sep 18, 2023

Hello, I'm doing research on fundus image enhancement and would like to refer to the algorithm proposed by the authors, if it's convenient for you, could you send the model to my e-mail address [email protected]

@liyuan-star
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liyuan-star commented Sep 18, 2023 via email

@JavierSabin
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Hello, Im doing a research project and i need the trained DenseNet121_v3_v1.tar , please send me a download link if you have access to this model to my email. Thank you very much.
[email protected]

@FelixApril
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附件为权重

------------------ 原始邮件 ------------------ 发件人: "HzFu/EyeQ" @.>; 发送时间: 2023年9月18日(星期一) 中午12:12 @.>; 抄送: "草莓大福 @.@.>; 主题: Re: [HzFu/EyeQ] Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar' (#8) Hello, I'm doing research on fundus image enhancement and would like to refer to the algorithm proposed by the authors, if it's convenient for you, could you send the model to my e-mail address ? — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.***> 从QQ邮箱发来的超大附件 DenseNet121_v3_v1.csv (879.2K, 到期)进入下载页面:http://mail.qq.com/cgi-bin/ftnExs_download?t=exs_ftn_download&k=7b6466323077c7999b1344551234074949105654020504071c53570551190d5608504b020d05504b0553040204505151505c040034213522540a15577a51415703553944076b43571f0715443409&code=1df2445f DenseNet121_v3_v1.tar (112.47M, 2023年10月18日 14:04 到期)进入下载页面:http://mail.qq.com/cgi-bin/ftnExs_download?t=exs_ftn_download&k=2f3934630fb1cbc0cf4e1604153601171d4d0c505000565948000302051b0a5c565a19500302011551090757030e570d015c52573323337c005747067d53470957086b15006945094b4d5511330b&code=e94c3638

hello,could you please send the DenseNet121_v3_v1.tar again because the download link expired.
[email protected]

@FelixApril
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Hello, Im doing a research project and i need the trained DenseNet121_v3_v1.tar , please send me a download link if you have access to this model to my email. Thank you very much. [email protected]

hello, do you already download it successfully?could you please send it to me?
[email protected]

@lyhyl
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lyhyl commented Oct 31, 2023

附件为权重

------------------ 原始邮件 ------------------ 发件人: "HzFu/EyeQ" @.>; 发送时间: 2023年9月18日(星期一) 中午12:12 @.>; 抄送: "草莓大福 @.@.>; 主题: Re: [HzFu/EyeQ] Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar' (#8) Hello, I'm doing research on fundus image enhancement and would like to refer to the algorithm proposed by the authors, if it's convenient for you, could you send the model to my e-mail address ? — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.***> 从QQ邮箱发来的超大附件 DenseNet121_v3_v1.csv (879.2K, 到期)进入下载页面:http://mail.qq.com/cgi-bin/ftnExs_download?t=exs_ftn_download&k=7b6466323077c7999b1344551234074949105654020504071c53570551190d5608504b020d05504b0553040204505151505c040034213522540a15577a51415703553944076b43571f0715443409&code=1df2445f DenseNet121_v3_v1.tar (112.47M, 2023年10月18日 14:04 到期)进入下载页面:http://mail.qq.com/cgi-bin/ftnExs_download?t=exs_ftn_download&k=2f3934630fb1cbc0cf4e1604153601171d4d0c505000565948000302051b0a5c565a19500302011551090757030e570d015c52573323337c005747067d53470957086b15006945094b4d5511330b&code=e94c3638

Could you share it again please?
[email protected]
Thank you in advance.

@FelixApril
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FelixApril commented Oct 31, 2023 via email

@lmylhy
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lmylhy commented Nov 28, 2023

附件为权重

------------------ 原始邮件 ------------------ 发件人: "HzFu/EyeQ" @.>; 发送时间: 2023年9月18日(星期一) 中午12:12 @.>; 抄送: "草莓大福 @.@.>; 主题: Re: [HzFu/EyeQ] Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar' (#8) Hello, I'm doing research on fundus image enhancement and would like to refer to the algorithm proposed by the authors, if it's convenient for you, could you send the model to my e-mail address ? — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.***> 从QQ邮箱发来的超大附件 DenseNet121_v3_v1.csv (879.2K, 到期)进入下载页面:http://mail.qq.com/cgi-bin/ftnExs_download?t=exs_ftn_download&k=7b6466323077c7999b1344551234074949105654020504071c53570551190d5608504b020d05504b0553040204505151505c040034213522540a15577a51415703553944076b43571f0715443409&code=1df2445f DenseNet121_v3_v1.tar (112.47M, 2023年10月18日 14:04 到期)进入下载页面:http://mail.qq.com/cgi-bin/ftnExs_download?t=exs_ftn_download&k=2f3934630fb1cbc0cf4e1604153601171d4d0c505000565948000302051b0a5c565a19500302011551090757030e570d015c52573323337c005747067d53470957086b15006945094b4d5511330b&code=e94c3638

could you share this trianed model to me?
[email protected]
thank you a lot!

@yyf12345
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yyf12345 commented Jan 8, 2024

请问您还存有MCF-Net DenseNet121_v3_v1.tar文件吗?我在GitHub上面的Issues里看见您发的分享,但现在已经过期了,如果您还存有这个文件,是否方便,麻烦您发送到我的邮箱 [email protected] 呢?万分感谢🙏🙏🙏,祝你生活愉快。

@FelixApril
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FelixApril commented Jan 15, 2024 via email

@KeramatGH
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The trained model file has some errors. would you please send me the file (for research purpose)
best regards
[email protected]

@FelixApril
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FelixApril commented Feb 5, 2024 via email

@KeramatGH
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The trained model file has some errors. would you please send me the file (for research purpose)
best regards
[[email protected]]
(mailto:[email protected])

thanks

---- Replied Message ---- | From | @.> | | Date | 02/05/2024 15:34 | | To | @.> | | Cc | @.>@.> | | Subject | Re: [HzFu/EyeQ] Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar' (#8) | The trained model file has some errors. would you please send me the file (for research purpose) best regards @.*** — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.***>

@KeramatGH
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您好,不知道您是否已经下载到 DenseNet121_v3_v1.tar文件,刚刚尝试发送给您,但是您的邮箱邮箱地址无效。

The trained model file has some errors. would you please send me the file (for research purpose)
best regards
[[email protected]]
(mailto:[email protected])

@FelixApril
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FelixApril commented Feb 14, 2024 via email

@wk100869
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Hello, "Have you received the MCF-Net DenseNet121_v3_v1.tar file provided by the author? I am currently working on a project and would like to refer to the algorithm proposed by the author. If you have the latest file from the author, could you please send it to my email at [email protected]?

@CastleDream
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CastleDream commented Jul 3, 2024

thanks

---- 回复的原邮件 ---- | 发件人 | @.> | | 日期 | 2024年02月13日 20:06 | | 收件人 | @.> | | 抄送至 | @.>@.> | | 主题 | Re: [HzFu/EyeQ] Download of the trained model MCF-Net 'DenseNet121_v3_v1.tar' (#8) | 您好,不知道您是否已经下载到 DenseNet121_v3_v1.tar文件,刚刚尝试发送给您,但是您的邮箱邮箱地址无效。 The trained model file has some errors. would you please send me the file (for research purpose) best regards @.*** @.) — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: @.>

could you please forward me a mail with trained model at [email protected], 3q😊

@FelixApril
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FelixApril commented Aug 22, 2024 via email

@XiaoChen-web
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Hello!I'm a student studying image processing.Would you mind send me the MCF-Net DenseNet121_v3_v1.tar file to my email address at [email protected]?

I would appreciate it a lot if you could help me!

God bless U!

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