YOLOSHOW - YOLOv5 / YOLOv7 / YOLOv8 GUI based on Pyside6

Introduction

YOLOSHOW is a graphical user interface (GUI) application embed withYOLOv5 YOLOv7 YOLOv8 algorithm.

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Demo Video

Bilibili Demo Video : YOLOSHOW-YOLOv8/YOLOv7/YOLOv5 GUI

Functions

1. Support Image / Video / Webcam / Folder (Batch ) Object Detection

Choose Image / Video / Webcam / Folder (Batch ) in the menu bar on the left to detect objects.

2. Change Models / Hyper Parameters dynamically

When the program is running to detect targets, you can change models / hyper Parameters

Support changing model in YOLOv5 / YOLOv7 / YOLOv8 dynamically
Support changing IOU / Confidence / Delay time / line thickness dynamically

3. Loading Model Automatically

Our program will automatically detect pt files including YOLOv5 Models / YOLOv7 Models / YOLOv8 Models that were previously added to the ptfiles folder.

If you need add the new pt file, please click Import Model button in Settings box to select your pt file. Then our program will put it into ptfiles folder.

Notice : All pt files are named including yolov5 / yolov7 / yolov8. (e.g. yolov8-test.pt)

4. Loading Configures

After startup, the program will automatically loading the last configure parameters.
After closedown, the program will save the changed configure parameters.

5. Save Results

If you need Save results, please click Save MP4/JPG before detection. Then you can save your detection results in selected path.

Preparation

Experimental environment

OS : Windows 11 
CPU : Intel(R) Core(TM) i7-10750H CPU @2.60GHz 2.59 GHz
GPU : NVIDIA GeForce GTX 1660Ti 6GB

1. Create virtual environment

create a virtual environment equipped with python version 3.9, then activate environment.

conda create -n yoloshow python=3.9
conda activate yoloshow

2. Install Pytorch frame

Windows: pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
Linux: pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118

Change other pytorch version in

3. Install dependency package

Switch the path to the location of the program

cd {the location of the program}

Install dependency package of program

pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install "PySide6-Fluent-Widgets[full]" -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install -U Pyside6 -i https://pypi.tuna.tsinghua.edu.cn/simple