Detect, track & Count vehicles Using YOLOv8
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- Опубликовано: 15 фев 2024
- Welcome to this step-by-step tutorial where you'll master the art of vehicle detection, tracking, and directional counting using YOLOv8.
GitHub: github.com/AarohiSingla/Detec...
For queries: You can comment in comment section or you can email me at aarohisingla1987@gmail.com
Throughout this tutorial, you'll delve into the intricacies of YOLOv8, a powerful object detection algorithm, to identify vehicles in real-time. Not stopping there, you'll also learn the fundamentals of vehicle tracking, enabling you to monitor their movements seamlessly. Finally, we'll explore advanced techniques to count vehicles direction-wise, providing invaluable insights into traffic flow analysis. Get ready to embark on a journey of learning and mastery in computer vision with YOLOv8. Let's dive in!
#computervision #yolov8 #objectdetection #objecttracking
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Hello Aarohi
Your channel is very knowledgeable & helpful for all Artificial Intelligence/ Data Scientist Professionals. Stay blessed & keep sharing such a good content.
I appreciate aarohi ma'am for all your efforts in explaining. Thank you very much
It's my pleasure
My go-to channel for learning Computer Vision
That's great to hear! I'm glad you find my video helpful for learning Computer Vision.
Lots of love from Lahore Pakistan.your videos are extremely beautiful in understanding core concepts
Glad you like them!
you are the best , thank you
You're welcome!
Its worth watching again and again
Thank you!
Mam i want to make hybrid of yolo and faster at what step it can be done plz reply
Amazing
Thanks
Thank you for sharing these invaluable tutorials
You are welcome!
Great work! Can you also explain the difference between YOLO NAS and YOLO V8 model in your upcoming video series!? discussing about its specific use cases/ functionalities
Sure
golden content
thanks
Thank you! Do you think it would work using YOLOv8n?
Yes it will
thank you , could i ask you , how to make the same thing having a vertical line
You need to change the values here for vertical line:
cv2.line(frame,(172,198),(774,198),red_color,3) # starting cordinates and end of line cordinates
cv2.putText(frame,('red line'),(172,198),cv2.FONT_HERSHEY_SIMPLEX, 0.5, text_color, 1, cv2.LINE_AA)
cv2.line(frame,(8,268),(927,268),blue_color,3) # seconde line
cv2.putText(frame,('blue line'),(8,268),cv2.FONT_HERSHEY_SIMPLEX, 0.5, text_color, 1, cv2.LINE_AA)
@@CodeWithAarohi thank you so much
Unable to import tracker, also installed it using !pip install tracker, getting error as follows: ImportError: cannot import name 'izip_longest' from 'itertools' (unknown location)
tracker.py is a file which is available on the mentioned github link. Paste it in your directory.
Great tutorial. Can you provide the video that you're using? (highway_mini.mp4)
Youc an get it from here: github.com/AarohiSingla/Speed-detection-of-vehicles
Not able to import tracker in python showing error please help
Make sure that you have a tracker.py file in the same directory where your Jupyter notebook is.
Can you please share the requirement file to run the code.
python 3.9, ultralytics==8.0.66 , pytorch 2.1.2 with cuda 11.8
Can i get the video named highway_mini.mp4
I am sorry, I don't have this video now but htere is another video present in this repo. You can try that: github.com/AarohiSingla/Track-and-Count-Using-yolov9