This repository provides scripts and instructions for converting a YOLO (You Only Look Once) model to TensorFlow Lite format. TensorFlow Lite is a lightweight solution for deploying machine learning models on mobile and edge devices, making it ideal for applications that require real-time object detection, such as mobile apps or embedded systems.
- Python 3.8.10
- TensorFlow 2.13.1
- Others
- You need create the anaconda enviroment
Step 1:conda create --name yolo9-tflite python=3.8.10
Step 2:conda activate yolo9-tflite - Continue you should install all the packages in requirements.txt
pip install -r requirements.txt
- You should run script end2end converting TFLite
bash convert_tflite.sh
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I have provided the config to run yolov9 (config/yolov9.yaml)
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You run to test the model
python inference.py
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