PCB Defect Classifier Application

This application uses image processing and Deep Learning to detect and extract defects from Printed Circuit Board (PCB) images and predict their defect type. For details see the Medium post here (at ref).

See the Medium article for more details on the construction and running of this application.

Get the Application

git clone https://github.com/sean-mcclure/defect_classifier.git

Install Requirements

run pip install -r requirements.txt in your console

Add Image Files to Defect Classifier Application

test_temps
└── 000410009_temp.jpg
└── 000410009_test.jpg
└── 00041012_temp.jpg
└── 00041012_test.jpg
...
└── test_temps.json

Add Model to Application (or use the preinstalled model)

mv ../Desktop/**defect_classifier.pkl** model/

Start the Service

python api/app.py

Result

SUPPORT

If you need help modifying this application for your specific purposes please contact Sean McClure.