YoloSide ~ A GUI For YoloV8 `V2.0`

🛑Warning

This project has been discontinued for maintenance, and normal operation is not guaranteed. You can continue to refer to the following projects. Thanks to every open source contributor for their contribution.
此项目已经停止维护，不保证仍能正常运行。您可以继续参考以下项目：
Ultralytics-PySide6
YOLOSHOW
yolov8客户端-简单修改
YOLOv8-GUI-PySide6
Please search for more projects on github yourself, all the best.

How to Run

python>=3.8
pip install ultralytics==8.0.48
pip install pyside6==6.4.2
python main.py

!!The corresponding version of the library must be installed

!!Otherwise, the following error will appear:`not enough values to unpack (expected 5, got 4)`

Notice

ultralytics follows the GPL-3.0, if you need commercial use, you need to obtain its license.
If you expect to use your own model, you need to use ultralytics to train the yolov8/5 model first, and then put the trained .pt file into the models folder.
There are still some bugs in the software, and I will continue to optimize and add some more interesting functions as my time allows.
If you check the save results, they will be saved in the ./run path
The UI design file is home.ui, if you modify it, you need to use the pyside6-uic home.ui > ui/home.py command to regenerate the .py file
The resource file is resources.qrc, if you modify the default icon, you need to use the pyside6-rcc resoures.qrc > ui/resources_rc.py command to regenerate the .py file

Video

To Do

The input source supports camera and RTSP (if you need this function urgently, you can modify it according to the chosen_cam、chose_rtsp、load_rtsp function in mian.py)
Graph showing changes in target quantity
Target tracking
Instance segmentation
Monitor system hardware usage

References