yolov8

YOLOv8

Input

(Image from https://ultralytics.com/images/bus.jpg)

Output

Usage

Automatically downloads the onnx and prototxt files on the first run. It is necessary to be connected to the Internet while downloading.

For the sample image,

$ python3 yolov8.py

If you want to specify the input image, put the image path after the --input option.
You can use --savepath option to change the name of the output file to save.

$ python3 yolov8.py --input IMAGE_PATH --savepath SAVE_IMAGE_PATH

By adding the --video option, you can input the video.
If you pass 0 as an argument to VIDEO_PATH, you can use the webcam input instead of the video file.

$ python3 yolov8.py --video VIDEO_PATH

By adding the --model_type option, you can specify model type which is selected from "v8n", "v8s", "v8m", "v8l", "v8x". (default is v8n)

$ python3 yolov8.py --model_type v8n

Reference

• Ultralytics YOLOv8

Framework

Pytorch

Model Format

ONNX opset=11

Netron

yolov8n.onnx.prototxt
yolov8s.onnx.prototxt
yolov8m.onnx.prototxt
yolov8l.onnx.prototxt
yolov8x.onnx.prototxt