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:

• [x] Detection
• [x] Pose Estimation
• [x] Segmentation
• [ ] OBB

Supported Models:

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

Supported Trackers:

• [x] DeepSort
• [x] ByteTrack

Supported Input Sources:

• [x] local files: images or videos
• [x] Camera
• [x] 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