I’m excited to share an replace on my YOLO challenge! Not solely does it detect objects in real-time, however it may well now discover the dominant shade of every detected object.
What’s New?
The current replace can now discover the dominant shade of every detected object, giving us extra detailed visible knowledge.
Technical Enhancements:
1.) K-means Clustering: Used to seek out the principle shade of objects.
2.) Django Net Software: Created a easy net interface the place customers can add movies and see the outcomes body by body.
3.) Actual-Time Processing: Maintained the quick and correct efficiency of YOLO.
Challenge Highlights:
- Integrating YOLO with OpenCV: Making certain clean operation between object detection and shade evaluation.
- Optimizing Efficiency: Holding all the pieces quick and correct.
- Consumer Expertise: Designing a user-friendly interface.
Thanks for studying !
