Note

Hello, welcome to the SunFounder Raspberry Pi & Arduino & ESP32 Enthusiasts Community on Facebook! Dive deeper into Raspberry Pi, Arduino, and ESP32 with fellow enthusiasts.

Why Join?

  • Expert Support: Solve post-sale issues and technical challenges with help from our community and team.

  • Learn & Share: Exchange tips and tutorials to enhance your skills.

  • Exclusive Previews: Get early access to new product announcements and sneak peeks.

  • Special Discounts: Enjoy exclusive discounts on our newest products.

  • Festive Promotions and Giveaways: Take part in giveaways and holiday promotions.

👉 Ready to explore and create with us? Click [here] and join today!

Video 66: Increasing Speed of Tensorflow Lite for Object Detection¶

Learn how to boost TensorFlow Lite performance on your Raspberry Pi by adjusting GPU memory allocation, managing temperature, and updating firmware.

  1. Introduction to the tutorial series sponsored by SunFounder.

  2. Explanation of the need to optimize TensorFlow Lite performance due to decreasing frame rates.

  3. Adjusting GPU memory allocation for improved graphics processing performance.

  4. Monitoring Raspberry Pi temperature to prevent throttling and maintain optimal performance.

  5. Updating Raspberry Pi firmware to manage temperature more efficiently.

  6. Running TensorFlow Lite for object detection and achieving a significant increase in frame rates.

Video