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It takes a lot of time to open the server. #8
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Console output looks fine. About no prediction results, you can check if the client log has an upload log like 'upload ...' , you can also check if the image is correctly uploaded in the server/frames directory on the server. |
The running TRN model mainly depends on the gpu memory(not ram), please check if it is greater than 4g |
Thanks very much for your reply. |
hello, I noticed that you run this code successfully. Do you have the weight file which the author mentioned in the model file? if you have it, would you send it to me? THX! |
Thanks a lot for this great project !
Some problems have arisen here :
Problem 1 : After the first time when i run $ python server.py at the server computer , it shows 'Multi-Scale Temporal Relation Network Module in use ['8-frame relation', '7-frame relation', '6-frame relation', '5-frame relation', '4-frame relation', '3-frame relation', '2-frame relation']' . Then it takes about 10 minutes to show other information :
**'Freezing BatchNorm2D except the first one.
done
WARNING: Do not use the development server in a production environment.
Use a production WSGI server instead.
'**
Is this normal? How long does it take for everyone to open the server?(As my RAM is 16 G )
Problem 2 : After the server is start , i run $ python run_manual.py -s http://xx.xx.xx.xx:80 at my computer. I can start the recognition program with key 's' , but after the second ‘s’ there is no result. When I try to run 'run_frameDifferent.py' , I meet the same problem .
Maybe there is something wrong with the way that I set this project ? Or I missed some important details ?
Any answer will help me a lot . Thank you very much !
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