DAVIDNYARKO123/edge-tpu-silva
Streamlining the process for seamless execution of PyCoral in running TensorFlow Lite models on an Edge TPU USB.
Integrates Ultralytics YOLOv8/v9 models with full-integer quantization for Edge TPU deployment, supporting detection, segmentation, and classification tasks. Provides automated runtime installation via `silvatpu-linux-setup` command with configurable clock frequencies for Linux-based edge devices (Raspberry Pi, Jetson Nano). Requires Python <3.10 and Edge TPU-compatible .tflite models exported from Ultralytics, with pre-quantized reference models available.
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30
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3
Language
Python
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Last pushed
Apr 12, 2024
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