Скачать или смотреть 3D Object Detection with YOLOv11 in Python |

In this video, I showcase a custom Python script that takes 2D YOLOv11 detections and turns them into 3D-style bounding boxes with perspective effects. 🎥

👉 What this project does:

Runs YOLOv11 object detection on images
Projects bounding boxes into 3D space using perspective math
Visualizes objects with realistic 3D bounding cubes
Includes both an advanced 3D projection and a simpler quick version

📌 Tech Stack:

Python 🐍
OpenCV
NumPy
Ultralytics YOLOv11
Matplotlib

💡 Perfect for:

Computer vision enthusiasts
AI/ML learners exploring object detection
Developers experimenting with 2D → 3D visualization

About Me:

I’m Arman Laliwala, a final-year Computer Engineering student, passionate about AI/ML and developing intelligent solutions for a better tomorrow.

📢 Let’s Connect:

🔗 YouTube:    / @armanlaliwala  
🔗 GitHub: https://github.com/Armanlaliwala
🔗 LinkedIn:   / armanlaliwala  
🔗 Instagram:   / armanlaliwala  
🔗 Medium:   / armanlaliwala  
🔗 Kaggle: https://www.kaggle.com/armanlaliwala


📂 Code includes:
✔ YOLO3DVisualizer (advanced perspective projection)
✔ Simple3DBoxVisualizer (lightweight quick test version)

⚡ Try it out on your own dataset and make your object detection projects look futuristic!
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👍 Like if you found this useful & drop a comment with your thoughts.

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