Practical AI YOLOv9: Computer vision is alive and well
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Mar 6, 2024 Discover the latest in computer vision with the launch of YOLOv9, showcasing advancements in object detection and classification. The discussion dives into innovative strategies like programmable gradient information to enhance efficiency while minimizing computational needs. Explore the significance of one-bit large language models for edge devices and the implications for real-time applications. The episode also highlights the evolving landscape of ML Ops and practical resources for those engaged in machine learning.
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Facial Recognition at the Airport
- Daniel Whitenack noticed the increasing use of facial recognition in airports and border control.
- The technology quickly matches live photos with passport images, streamlining the process.
YOLOv9: Single-Pass Object Detection
- YOLOv9 is a significant advancement in computer vision, focusing on real-time object detection.
- Unlike previous models, YOLO processes entire images in a single pass, improving efficiency.
Programmable Gradient Information (PGI)
- YOLOv9 uses Programmable Gradient Information (PGI) to improve information efficiency.
- An auxiliary reversible branch minimizes information loss during training but is removed for inference.