Yolov5_EdgeTPU

This is a C++ inference implementation of Yolov5 with EdgeTPU. Runs at 12 FPS on desktop with Coral EdgeTPU enabled.

Demo

Installation

1. First you will need absl library to be installed, refer to quickstart to install absl library

2. From the project directory, run the following command:

   • create build directory to keep source directory clean: mkdir build && cd build

   • generate makefile: cmake ..

   • compile: make -j4

3. The executable file will be located at out folder in project folder. Run the demo with command out/k8/Yolo_EdgeTPU --model_path=MODEL_PATH --label_path=LABEL_PATH from project folder where model_path and label_path should point to the files in model directory.

Acknowledgement

Thanks to excellent yolov5 work from Ultralytics and model conversion code from zldrobit