GitHub - PradyumnaGupta/pcb_defect_analysis: A PCB analysis tool that uses a referential approach for localization and identification of PCB defect, by leveraging an EfficientNet-b4 classifier, to detect defects in a PCB board. This project is part of my undergrad thesis project. Further details can be found in the Final_Year_Project_Thesis-Google Docs.pdf.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 22 Commits
model_inference		model_inference
model_training		model_training
saved_weights		saved_weights
static/stylesheets		static/stylesheets
templates		templates
.gitignore		.gitignore
.slugignore		.slugignore
Final_Year_Project_Thesis - Google Docs.pdf		Final_Year_Project_Thesis - Google Docs.pdf
PROCFILE		PROCFILE
app.py		app.py
favicon.ico		favicon.ico
requirements.txt		requirements.txt

About

A PCB analysis tool that uses a referential approach for localization and identification of PCB defect, by leveraging an EfficientNet-b4 classifier, to detect defects in a PCB board. This project is part of my undergrad thesis project. Further details can be found in the Final_Year_Project_Thesis-Google Docs.pdf.

python machine-learning deep-learning electronics pcb pcb-layout final-year-project pcb-design