ultralytics-YOLO-DeepSort/ByteTrack-PyQt-GUI

a GUI application, which uses ultralytics YOLO for Object Detection/Tracking, Human Pose Estimation/Tracking from images, videos or camera.

All python scripts performing detection, pose and segmentation using the YOLO model in ONNX.

Supported AI tasks:

• Detection
• Pose Estimation
• Segmentation
• Oriented Bounding Boxes

Supported Models:

• YOLO26
  • YOLO26-n
  • YOLO26-s
  • YOLO26-m
  • YOLO26-l
  • YOLO26-x
• YOLOv13
  • YOLOv13-n
  • YOLOv13-s
  • YOLOv13-l
  • YOLOv13-x
• YOLO11
  • YOLO11-n
  • YOLO11-s
  • YOLO11-m
  • YOLO11-l
  • YOLO11-x

Supported Trackers:

• DeepSort
• ByteTrack

Supported Input Sources:

• local files: images or videos
• Camera
• RTSP-Stream

Install

Install required packages with pip:

pip install -r requirements.txt

or with conda:

conda env create -f environment.yml

# activate the conda environment
conda activate yolo_gui

Download weights

Download the model weights：

python download_weights.py

The model files are saved in the weights/ folder.

Run

python main.py