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Question
Now I am using your example, processed for launching on streamlit. Everything works as expected, the camera sees people and counts them.
Now I need to scale the system. Roughly speaking, on the home page of Streamlit I will have 6 cameras, each of which should detect people and display their current number.
Is this possible within one server? If I simply copy a working recognition block 6 times within one script, will everything work together?
I understand that this will take a large amount of resources, we are ready to purchase video cards and other power for this, but the question here will be, will this work in principle?
Additional
No response
The text was updated successfully, but these errors were encountered:
Everything works on one machine and with one script. I don’t want to flood and I won’t copy it again))), I already posted an example of the script earlier, here. #390 (comment)
Now it works on a CPU with an 8n model, we plan to transfer it to a GPU
@epigraphe If you want to run for 6 camera what you can do is If you wanna do via "ultralytics" you
can do "multhread-tracking" example explain here or you can setup a inference server and call via that as well.
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Question
Now I am using your example, processed for launching on streamlit. Everything works as expected, the camera sees people and counts them.
Now I need to scale the system. Roughly speaking, on the home page of Streamlit I will have 6 cameras, each of which should detect people and display their current number.
Is this possible within one server? If I simply copy a working recognition block 6 times within one script, will everything work together?
I understand that this will take a large amount of resources, we are ready to purchase video cards and other power for this, but the question here will be, will this work in principle?
Additional
No response
The text was updated successfully, but these errors were encountered: