Detect, track & Count vehicles Using YOLOv8

[@arnavthakur5409]

I appreciate aarohi ma'am for all your efforts in explaining. Thank you very much

[@CodeWithAarohi]

It's my pleasure

[@ashimasingla103]

Hello Aarohi
Your channel is very knowledgeable & helpful for all Artificial Intelligence/ Data Scientist Professionals. Stay blessed & keep sharing such a good content.

[@ObulesuNanganuru]

My go-to channel for learning Computer Vision

[@CodeWithAarohi]

That's great to hear! I'm glad you find my video helpful for learning Computer Vision.

[@hamidraza1584]

Lots of love from Lahore Pakistan.your videos are extremely beautiful in understanding core concepts

[@CodeWithAarohi]

Glad you like them!

[@malybouful]

you are the best , thank you

[@CodeWithAarohi]

You're welcome!

[@Sunil-ez1hx]

Its worth watching again and again

[@CodeWithAarohi]

Thank you!

[@pifordtechnologiespvtltd5698]

Amazing

[@CodeWithAarohi]

Thanks

[@hosseinshahverdi3284]

Thank you for sharing these invaluable tutorials

[@CodeWithAarohi]

You are welcome!

[@jayathissaaral2598]

golden content

[@CodeWithAarohi]

thanks

[@shimaakhaled1378]

how can i get your video dataset

[@anamikamaurya22]

Mam i want to make hybrid of yolo and faster at what step it can be done plz reply

[@ikramessafi9560]

thank you , could i ask you , how to make the same thing having a vertical line

[@CodeWithAarohi]

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)

[@ikramessafi9560]

@@CodeWithAarohi thank you so much

[@vedhikanarasiman1503]

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

[@CodeWithAarohi]

Sure

[@SameerAzam-f6i]

from tracker import* giving error any solution mam

[@MiniProgrammar]

but I need specific count, like
Bus - 1
Truck - 2
CoverVan - 3
Motorcycle - 5

[@CodeWithAarohi]

You can modify the code to run the counter for each object instead of all objects together.

[@jamalblack3108]

Great tutorial. Can you provide the video that you're using? (highway_mini.mp4)

[@CodeWithAarohi]

Youc an get it from here: github.com/AarohiSingla/Speed-detection-of-vehicles

[@Andrea-zw1gm]

Thank you! Do you think it would work using YOLOv8n?

[@CodeWithAarohi]

Yes it will

[@JayantVyasPCS]

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)

[@CodeWithAarohi]

tracker.py is a file which is available on the mentioned github link. Paste it in your directory.

[@Mohitsingh-qk2fd]

Not able to import tracker in python showing error please help

[@CodeWithAarohi]

Make sure that you have a tracker.py file in the same directory where your Jupyter notebook is.

[@JayantVyasPCS]

Can you please share the requirement file to run the code.

[@CodeWithAarohi]

python 3.9, ultralytics==8.0.66 , pytorch 2.1.2 with cuda 11.8

[@Satchi017]

Thank you for this video.
How could I use this on a custom model? I have changed the
model=YOLO('my_best_weight.pt')
class_list=['my_class_name'].
Why can't I detect any object?
However, I can detect it with this code:
from ultralytics import YOLO
!yolo task=detect mode=predict model='my_best_weight.pt' conf=0.25 source= '0626.mp4'

[@engineeringmathsm1520]

Can i get the video named highway_mini.mp4

[@CodeWithAarohi]

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