does supervision provide a way to retrieve information from each ID that is detected? In my case where a car and a truck are two different objects crossing the line zone in supervision, can I find out the class information of the objects that have passed?
Can you please create notebook or video explaning , how to run the YOLO NAS model in Jetson Nano. I am unable to setup the dependency in jetson that is required for infercing YOLO NAS model. I am using Jetson Nano 2GB model and Jetpack of 4.6.1 version. Can you please specify clear instructions of version of each dependency that needs to be downloaded in Jetson Nano and also how to download in Jetson Nano. Please🙏🙏🙏🙏
Amazing how quickly are things becoming easier! thanks for all your work. I am interested in designing a state machine that actually analyses the LLMvision inferences and parses them into a coherent ideas, to be somehow aware of what’s going on. Just like humans. For example: what happened? Answer is somewhere in comparing the differences between two or more llm vision query repliers/inferences from two or more frames separated by a second or two…states using different lists of prompts… wouldn’t it be interesting to have a go at that?!?
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Awesome video! easy and simple to understand!
Awesome man! So glad you liked it and found it helpful
does supervision provide a way to retrieve information from each ID that is detected? In my case where a car and a truck are two different objects crossing the line zone in supervision, can I find out the class information of the objects that have passed?
Very informative and learning video.
Thanks a ton for the nice words man! Appreciate it
Can you please create notebook or video explaning , how to run the YOLO NAS model in Jetson Nano. I am unable to setup the dependency in jetson that is required for infercing YOLO NAS model.
I am using Jetson Nano 2GB model and Jetpack of 4.6.1 version. Can you please specify clear instructions of version of each dependency that needs to be downloaded in Jetson Nano and also how to download in Jetson Nano. Please🙏🙏🙏🙏
How can I accelerate with GPU?
It will use gpu automatically for your object detection with yolov8 etc. but supervision is just for visualisation and can only be done on cpu
Amazing but please talk slowly 😅
Life is all about speed ;)
@@NicolaiAI
Great video man! Can you make one about small object detection
Thanks a lot! Will take a look, anything specific?
@@NicolaiAIlike combine it with SAHI to detect small objects
@@abdshomad Yeah will do that
Hello! I coudn't find the code on github, can i get it somewhere else?
can you make some object detection project with streamlit web application?
Yeah will take a look at that. Already have streamlit applications with opencv and also object detection, so yeah, why not combine it!
@@NicolaiAI Thank you.
Amazing how quickly are things becoming easier! thanks for all your work. I am interested in designing a state machine that actually analyses the LLMvision inferences and parses them into a coherent ideas, to be somehow aware of what’s going on. Just like humans. For example: what happened? Answer is somewhere in comparing the differences between two or more llm vision query repliers/inferences from two or more frames separated by a second or two…states using different lists of prompts… wouldn’t it be interesting to have a go at that?!?
where can I download video?