DAVIDNYARKO123/edge-tpu-silva
Streamlining the process for seamless execution of PyCoral in running TensorFlow Lite models on an Edge TPU USB.
This tool helps embedded systems engineers and hobbyists quickly set up their Raspberry Pi or Jetson Nano to run AI models for object detection, segmentation, and classification. It takes a pre-trained TensorFlow Lite model, configured for Edge TPU using Ultralytics, and outputs real-time inferences, enabling high-speed computer vision tasks on edge devices.
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Use this if you need to deploy real-time object detection, segmentation, or classification on a Raspberry Pi or Jetson Nano using a Coral Edge TPU USB accelerator.
Not ideal if you are developing on Windows or macOS, or if you don't plan to use a Coral Edge TPU USB accelerator.
Stars
30
Forks
3
Language
Python
License
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Category
Last pushed
Apr 12, 2024
Commits (30d)
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