Deprecated link for pretrained models

[AquaHorseM]

When I tried to download the pretrained models, such an error occurred:
wget: unable to resolve host address ‘penzhanwu2bbs.blob.core.windows.net’

It seems like the download link is deprecated. Could you perhaps renew the link? Or can anyone else successfully download the pretrained models from the given links? Thank you so much!

[jihanyang]

Hello, thanks for your interesting to our work. You can just visit the official GLIP github repo https://github.com/microsoft/GLIP to download the pre-trained GLIP models and prepare environments. We just added the gradio interface for GLIP at https://github.com/VIRL-Platform/GLIP/blob/main/glip_app.py.

[AquaHorseM]

Thank you! Sorry to bother you again, I'm facing this issue: when I run rx399_ny, the glip server side always raises 'Not compiled with GPU support', but I am pretty sure that cuda is available. Is it related to the major 'WITH_CUDA'? Can you give me some possible solution? Thank you so much and sorry again for bothering you so much! Jihan Yang ***@***.***> 于2024年7月2日周二 10:21写道：

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Hello, thanks for your interesting to our work. You can just visit the official GLIP github repo https://github.com/microsoft/GLIP to download the pre-trained GLIP models and prepare environments. We just added the gradio interface for GLIP at https://github.com/VIRL-Platform/GLIP/blob/main/glip_app.py. — Reply to this email directly, view it on GitHub <#1 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/BHBKLK2DZZLX3ZKGRLTB36DZKIFDTAVCNFSM6AAAAABKGAJO32VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDEMBRGY4TGMRTGI> . You are receiving this because you authored the thread.Message ID: ***@***.***>

[jihanyang]

when you launch the glip server, it will provide an HTTP address with a port. Can you first try it on the webpage to make sure it can work? Also, you can try their official colab demo locally to make sure your environment is feasible: https://colab.research.google.com/drive/12x7v-_miN7-SRiziK3Cx4ffJzstBJNqb?usp=sharing