how to use yolov8 for people counting | yolov8 object tracking and object counting | computer vison

[@shukurullomeliboyev2004]

thanks for teaching, please make more videos

[@LelouchL-q1b]

What changes should I make to utilize the GPU? Wonderful video btw!

[@setsuko01111]

can i ask how to pause the video demo like you did. Thanks

[@rubialugattimoreira1978]

Great job! Please allow me to ask, for RPI4, wich libray is more speed to face recognition atendance in real-time?

[@freedomtech5307]

face_recognition library is fast

[@rubialugattimoreira1978]

​@@freedomtech5307 Thanks. Please consider to make some tutorials for RPI4. You are the best channel on youtube about it.

[@streamology]

amazing tutorial thanks alot

[@ajayaprakash7028]

Does it count for real time by opening live camera

[@seungbaekna1285]

hi
I'm watching a good video intently. Can you create an example of creating a square box by dragging the object find area with the mouse instead of coding it?
thanks

[@freedomtech5307]

ruclips.net/video/MyvylXVWYjY/видео.html

[@nhungnguyen-og8vc]

Can you provide me with some relevant and longer videos for additional practice? Thank you

[@johnchloegomandoy7916]

Thank you so much!

[@explore_diary]

Hii tensorflow lite sh file not at github please give me the sh file

[@freedomtech5307]

github.com/freedomwebtech/tensorflow-lite-bullseye

[@kevinli1512]

excellent,tks

[@ddoq1345j]

I got error 'Boxes' object has no attribute 'boxes'. See valid attributes below.

[@freedomtech5307]

bro please try again i update the code

[@ddoq1345j]

@@freedomtech5307 I still got error like "TypeError: can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first."

[@ddoq1345j]

I change px=pd.DataFrame(a.cpu().numpy()).astype("float") then it's sucessfully working