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Li-Chongyi / Lighting-the-Darkness-in-the-Deep-Learning-Era-Open

MIT License
720 stars 97 forks source link

really nice platform #3

Closed gravitychen closed 3 years ago

gravitychen commented 3 years ago

I think this platform makes people more convenient to implement using different kinds of method quickly, I want to ask a question of website building,Actually it is not about low light enhancement.

I wonder how to build this user-friendly website (using API? or something, I am learning website building with HTTP CSS JS language) how to deal with those uploaded images? save to local drive or directly delete it? (what if there are lots of images uploaded at the same time, then how to keep this website working instead of crashing )

Li-Chongyi commented 3 years ago

It's complicated to build this platform. One local GPU cluster has to be running all the time. We are afraid of crashing, thus not allowing users to upload a whole dataset. The only one-by-one test image is allowed. When many users use this platform at the same time, they have to be in queue.

gravitychen @.***> 于2021年5月7日周五 下午8:39写道：

I think this platform makes people more convenient to implement using different kinds of method quickly, I want to ask a question of website building,Actually it is not about low light enhancement.

I wonder how to build this user-friendly website (using API? or something, I am learning website building with HTTP CSS JS language) how to deal with those uploaded images? save to local drive or directly delete it? (what if there are lots of images uploaded at the same time, then how to keep this website working instead of crashing )

— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub https://github.com/Li-Chongyi/Lighting-the-Darkness-in-the-Deep-Learning-Era-Open/issues/3, or unsubscribe https://github.com/notifications/unsubscribe-auth/AIEVQEIYVWAUAHTIJ5S25STTMPNQXANCNFSM44JZ7FTQ .

gravitychen commented 3 years ago

It's complicated to build this platform. One local GPU cluster has to be running all the time. We are afraid of crashing, thus not allowing users to upload a whole dataset. The only one-by-one test image is allowed. When many users use this platform at the same time, they have to be in queue. gravitychen @.***> 于2021年5月7日周五 下午8:39写道： … I think this platform makes people more convenient to implement using different kinds of method quickly, I want to ask a question of website building,Actually it is not about low light enhancement. I wonder how to build this user-friendly website (using API? or something, I am learning website building with HTTP CSS JS language) how to deal with those uploaded images? save to local drive or directly delete it? (what if there are lots of images uploaded at the same time, then how to keep this website working instead of crashing ) — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#3>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AIEVQEIYVWAUAHTIJ5S25STTMPNQXANCNFSM44JZ7FTQ .

Wow , thank you for your quick and nice reply, Yes, I think it must be complicated, really nice project!

so how to deal with those uploaded images? directly delete them after model inference or save them?, If so, I think maybe we need a large hard drive right?

Li-Chongyi commented 3 years ago

We have to delete the uploaded images after processing due to the limited memory of our server.

gravitychen @.***> 于2021年5月7日周五 下午8:59写道：

It's complicated to build this platform. One local GPU cluster has to be running all the time. We are afraid of crashing, thus not allowing users to upload a whole dataset. The only one-by-one test image is allowed. When many users use this platform at the same time, they have to be in queue. gravitychen @.***> 于2021年5月7日周五 下午8:39写道： … <#m-2027862039282676538> I think this platform makes people more convenient to implement using different kinds of method quickly, I want to ask a question of website building,Actually it is not about low light enhancement. I wonder how to build this user-friendly website (using API? or something, I am learning website building with HTTP CSS JS language) how to deal with those uploaded images? save to local drive or directly delete it? (what if there are lots of images uploaded at the same time, then how to keep this website working instead of crashing ) — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#3 https://github.com/Li-Chongyi/Lighting-the-Darkness-in-the-Deep-Learning-Era-Open/issues/3>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AIEVQEIYVWAUAHTIJ5S25STTMPNQXANCNFSM44JZ7FTQ .

Wow , thank you for your quick and nice reply, Yes, I think it must be complicated, really nice project!

so how to deal with those uploaded images? directly delete them after model inference or save them?, If so, I think maybe we need a large hard drive right?

— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/Li-Chongyi/Lighting-the-Darkness-in-the-Deep-Learning-Era-Open/issues/3#issuecomment-834358156, or unsubscribe https://github.com/notifications/unsubscribe-auth/AIEVQEJHZCM62D56IWI6FTLTMPPZPANCNFSM44JZ7FTQ .

gravitychen commented 3 years ago

Thank you very much,I understand now. Hope I can build a project like this one someday. Useful function and interface really make a good user experience. My classmate had run some ablation studies with different enhancement models, if he knew the platform then I think he can save a lot of time.