Yolov8_pose

This project mainly includes the implementation of a pose estimation based on the yolov8-pose model.

Repo Structure

test_v8_pose.py Load the trained model for testing.

Installation

conda create -n yolo python=3.8
conda activate yolo
pip install ultralytics

Example Usages

To set up a new terminal, run:

conda activate yolo
cd <path to act repo>

Pose Model Training

To train the pose model Start training from a pretrained *.pt model, run:

yolo pose train data=coco8-pose.yaml model=yolov8s-pose.pt epochs=100 imgsz=640

You can dynamically adjust parameters such as epochs according to the size and complexity of the data set, or modify the data path to your own data path.

Model Testing

To test the model with our usb camera, run:

test_v8_pose.py

WilliamSCUT / Yolov8_pose