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This project is based on YOLOv7 & PyQt5-YOLOv5
When the GUI is launched, it will automatically detect the presence of the YOLOv7 models that were previously added to the "ptmodel" folder.
With this project, our aim was to offer end users quick inferences that would simplify their work. To achieve this, we focused on developing a lightweight and fast project that would meet their needs.
The system features:
OS : Windows 11
CPU : Intel(R) Core(TM) i7-10750H CPU @ 2.60GHz 2.59 GHz
GPU : NVIDIA GeForce GTX 1660Ti 6GB
### create virtual env
conda create -n yolov7 python=3.9
### requirements
pip install -r requirements.txt
### Download related version Pytorch
pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu117Download Pytorch
python main.py- support image/video as input
- change model
- change IoU
- change confidence
- paly/pause/stop
- show result
- export detected image/video
Check in YOLOv7检测界面-Pyside6-GUI
Please consider giving me a star if this project is helpful to you. ⭐⭐⭐
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