Count People in Zone | Using YOLOv5, YOLOv8, and Detectron2 | Computer Vision

is there a way to do all this in vscode

This is so cool, thanks for sharing

Thank you! But one quick question, If needs to detect another object, I need to create a new dataset and new train?
Regards

Hi, first of all congratulations as always for the video! Your knowledge and ability to explain makes me more and more passionate about this world.
I also tried asking this on gitHub, I'll try here too...
Using the sv.LineZone object I simply did print("object name" .in_count) to print the detected objects on the screen. Does anyone know what the corresponding attribute is for the sv.PolygonZone class (to print the number of objects inside the polygon)?

Very good tutorials you are publishing. Thanks!

Day 1

Thanks for the video! so useful. Can we use Supervision to only convert different annotation formats? like PASCAL VOC to yolo or the other way.

This is so awesome! Could you do one for oil palm tree counting / detection ?

You don’t have to hold my hand but it would be pretty chill to hold hands in terms of how you measured the coordinates for the polygon. Any tools you can recommend for that? I have editing apps I can use but if there’s a more automated way like with Python or something? Gettin greedy here but it would be very helpful to hear if you had a special way for that or if it’s part of the grind. …

Golly gee this makes me happy as can be

Epic as fuck!!!

Another video with more detail on supervision.utils.draw_line would be epic. The candies conveyor belt lesson was great but it was very quick!

I want to draw the image recognition zone as I want. Is it possible?

Sorry, I want to ask if count objects can be done on an image.?

How to use images instead of video?

Nice! This reminds me of a roboflow universe project where someone managed to use the predefined polygon on feeding area in an aquarium to count and track incoming dwarf shrimp

Thank you so much sir , this is very helpful for my project. Once again a big thanks for providing source code too .

Thank you from Manhattan ©2024

NameError: name 'MARKET_SQUARE_VIDEO_PATH' is not defined

Thanks man,
I have a question that, can we find out the direction of the people join the polygon or go out the polygon

Great video for learning the YOLOv8, thanks.

Is counting using yolov7 model difficult than using yolov8 model.

Do video on visual prompt from landingai

is it possible to identify type and quantity of inventory in a shop?

how to take video from webcam?

This was very cool. Can you make a video on distance measurement between the detections using a threshold showing the distance. it would be very cool like clear idea of how we can show social distancing and other cool stuffs?!

please do you have any idea how can i do this with yolov7

how about tracking one person throught different zones ?

legend! keep up the good work!

Hi bro..Thanks for your tutorial. I have a question. Is it possible to move the counter to other locations on the frame?

I'm working on project where I plan to estimate a behavior of separate objects by tracking directions and speed of movement and recognize some specific behavioral patterns. I'm new in that field and I have analyzed your colab notebooks, they are very Very VERY helpful. I need your suggestions. Based on your tracking and counting tutorial presented in previous video I collect track coordinates and can draw a paths of every moving objects, postprocess them and extract useful information. That project was based on supervision 0.1.0, yolov8, ByteTrack. Now I plan to track behaviour of moving objects i a polygon and in polygon example you use supervision 0.2.0, syntax was a little bit changed. What do you suggest: stay on supervision 1 and add polygons to previous project. Or move to this video project with supervision 2 and add ByteTrack to it?

Congrats! It's really nice and instructive work, but i have a question. How would that be possible, if I want to skip some frames(vid_stride) in the video because of slow video processing? Like, look once in every 4 frames.

Hi. Nice video. Could you please also explain if someone wants to have a total number of passengers? e.g. in the platform video, how would we count the total number of passengers at the platform?

thank you very much for your wonderfull video!, so can you show me how to play the result video after detect!!, i can't do it :( :(

Thanks for the video friend, very enlightening. If I want to implement this technique on android to detect objects from the cell phone?

the counting functionality are working in a specific zone or can i move the camera around to count people?

Thank you very much for the videos, they are very useful! If it is worth a suggestion, it would be nice to use SLAM and object detection for OAK-D. ( By the way I am subscribed ;)

found it really helpful, can we find the time spent by certain person in certain spot market space ?? is it ijclushsive in yolo v5?

This is so awesome man, thanks so much for making this. I'm making an analysis tool for Beach Volleyball with what i'm learning from your videos!
Could you do another zone analysis for Soccer where you detect if a player is offside?

thanks for your amazing videos
i was wondering how to get coordinates of an object using cv?

H brother currently im using a laptop can you suggest a computer spec that run it locally

Can you combine this with ByteTrack to eg count how many people got on and how many people got off the train?

Just wanted to say a big thanks for the tutorial. It was super helpful! And, btw, you rock! 😎 So, anything else you wanna show us? Here's my wishlist:
* Show object Track ID
* Smooth path like in Data From Sky 🔥

👏👏👏👏👏
Takk

thanks for making such useful content like this!
i was wondering, how do we define the polygon zone? is there a technique to be used to get the specific number of x & y val?

Nice work you changed the poygon and it looks good btw.
Lots of effort put in by @SkalskiP. I was watching him on twitch while he was working on last demo. Nice work and thanks for sharing :)

Thanks, this is very helpful, how can I get the total of number of the detected instances? I'm trying to count the total number of fish fingerlings in a basin using YOLOv7 instance segmentation.

really cool stuff!