Abstract: To address the limited accuracy of existing PCB surface defect detection methods, the challenge of balancing detection performance with lightweight design, and the need for real-time ...
. ├── app.py # Flask backend API ├── predict.py # ML inference pipeline ├── preprocess.py # Image preprocessing ├── train_defect_model.py # CNN training (optional) ├── train_cost_model.py # ...
Abstract: This paper presents an automated Printed Circuit Board (PCB) defect detection system leveraging the YOLOv8 deep learning architecture. The model is designed to accurately detect and classify ...
Unpack on Another System Send yolov12_env.tar.gz to a server or another machine, and run: mkdir yolov12-env tar -xzf yolov12_env.tar.gz -C yolov12-env source yolov12 ...
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