YOLOv8 inference using Python

This is a web interface to YOLOv8 object detection neural network implemented on Python via ONNX Runtime.

This is a source code for a "How to create YOLOv8-based object detection web service using Python, Julia, Node.js, JavaScript, Go and Rust" tutorial.

Install

• Clone this repository: git clone [email protected]:AndreyGermanov/yolov8_onnx_python.git
• Go to the root of cloned repository
• Install dependencies by running pip3 install -r requirements.txt

Run

Execute:

python3 object_detector.py

It will start a webserver on http://localhost:8080. Use any web browser to open the web interface.

Using the interface you can upload the image to the object detector and see bounding boxes of all objects detected on it.