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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.
Introduction to the tutorial series sponsored by SunFounder.
Explanation of the need to optimize TensorFlow Lite performance due to decreasing frame rates.
Adjusting GPU memory allocation for improved graphics processing performance.
Monitoring Raspberry Pi temperature to prevent throttling and maintain optimal performance.
Updating Raspberry Pi firmware to manage temperature more efficiently.
Running TensorFlow Lite for object detection and achieving a significant increase in frame rates.
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