wangqvq / yolov8-gui-pyside6

YoloSide ~ A GUI For YOLOv8 V2.0-Beta

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How to Run

• python>=3.8
• pip install ultralytics
• pip install pyside6
• pip install chardet
• conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia
• python main.py

!!The corresponding version of the library must be installed

Notice

• ultralytics follows the GPL-3.0, if you need commercial use, you need to obtain its license.
• The tracking function is not yet complete.
• 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

To Do

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

References

• PyQt5-YOLOv5
• ultralytics
• PySide6-YOLOv8