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A PCB defect detection application deployed by using the OnnxRuntime and QT framework

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Easy_PCB_GUI

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

Install

  • clone the project by git clone https://github.com/StudentKang/Easy_PCB_App.git
  • Use it by clicking QT_PCB.exe.

Note

  • The defect detection for a single PCB defect picture. Displays detection speed, defect category, and the number of corresponding defect.

single

  • Click PCB sample picture to preview the picture.
preview
  • The defect detection for batch PCB defect pictures. Displays defect processing progress and batch defect sample number.
batch
detection

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A PCB defect detection application deployed by using the OnnxRuntime and QT framework

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