PCB Defect Detection
A PCB defect detection application deployed using the QT and OnnxRuntime framework.
- Use C++ for deep learning model deployment.
- Use QT for application development.
- Model deployment is implemented using the OnnxRuntime framework.
- We use PKU-Market-PCB datasets.
See the Source Code Source Code
- clone the project by
git clone https://github.com/StudentKang/Easy_PCB_App.git
- Use it by clicking
QT_PCB.exe
.
- The defect detection for a single PCB defect picture. Displays detection speed, defect category, and the number of corresponding defect.
- Click PCB sample picture to preview the picture.
- The defect detection for batch PCB defect pictures. Displays defect processing progress and batch defect sample number.