Welcome to another exciting episode on Tech Watt! In this video, we dive into the fascinating world of computer vision, combining the power of YOLO-NAS (Neural Architecture Search) with real-time object detection and heatmap generation. 🚀
👉 What's Covered:
Implementation of YOLO-NAS for object detection.
Real-time processing of video frames to identify and track objects.
Creation of an interactive heatmap reflecting the intensity of detected objects.
Heatmap smoothing through frame averaging for a visually appealing result.
⚙️ Tools and Technologies Used:
Python programming language.
YOLO-NAS model for object detection.
OpenCV and cvzone libraries for computer vision tasks.
NumPy for numerical operations.
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🔗 Project Code:
https://github.com/Tech-Watt/YOLO-NAS...
🚨 Note:
Make sure to check the pinned comment for additional resources, code snippets, and corrections.
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