Detect, Track and Classify Using YOLOv9 and ByteTrack
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- Опубліковано 15 чер 2024
- About Project:
Face Detection: Trained using YOLOv9.
Custom Class Detection: Trained with YOLOv9, detecting 14 classes:
['firearm', 'knife/Sword', 'smoke', 'tank', 'warship', 'Missile', 'artillery', 'nudity', 'lingerie', 'aircraft', 'Cigarettes/Cigars/e-cigarettes', 'fire', 'cut/blood', 'bruise']
Classification: Frame-wise classification for violence, normal, and nudity classes, also using YOLOv9.
Combined the above three models (face detection, custom class detection, and classification) and final output displayed in video - Наука та технологія
Nice
Good work Aarohi ma'am
Thanks!
Very nice
Thanks
mam please make a video on replacing segmentation with another color or image
Noted!
Can you share a similar repo as well if possible..
I will cover it in future.
@@CodeWithAarohi Thank you :)