Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

pre-trained model for places2 #9

Open
ds-za opened this issue Dec 27, 2019 · 8 comments
Open

pre-trained model for places2 #9

ds-za opened this issue Dec 27, 2019 · 8 comments

Comments

@ds-za
Copy link

ds-za commented Dec 27, 2019

Hi - Very nice piece of work. While I can access the pre-trained models CELEBA-HD, DTD and Facade, it does not work for Places2. Might be related to access rights for the Google Drive. Could you please check? Thanks

@sadbhawnathakur
Copy link

Hi - The same issue is with me while trying to download pre-trained model for Places2.

@zengyh1900
Copy link
Collaborator

Thank you for your reminder! I have just noticed it. I will upload it asap after checking. Thanks!

@ofirkris
Copy link

@1900zyh Thanks - it's the best model to test with

@zengyh1900
Copy link
Collaborator

Hi all, thank you for your interest. I have updated the driver, you can check it now.

@zhengbowei
Copy link

Hi,everybody!
I want to test the pretrained model, but I do not know how to prepare "zip_root": "../datazip" and the setting of "-l", thank you for your answer!

@m2005dh
Copy link

m2005dh commented Jul 23, 2020

@1900zyh
Hello, Dear zyh,
I also have a problem to set the parameters flist_root and zip_root.
I will be appreciated to anyone help me with this issue especially @1900zyh.
Thank you

@micklexqg
Copy link

the same problem when prepare "zip_root": "../datazip" , so how to get or create them?
@1900zyh

@ZHANG-hengzhi
Copy link

大家好!
我想测试预训练的模型,但我不知道如何准备“zip_root”:“./datazip”和“-l”的设置,谢谢您的回答!

你好,请问你现在会配置自己的数据集了吗,我也是zip_root不知道是什么样子的

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

8 participants