Face Identifier App

Application for student face identification

Steps:

Data collecting and maintance:

• Collect face data by running main_data_collector.py
• cd utils
• Use python file_renamer.py & python file_transformer.py & python id_assigner.py to prepare data before splitting it
• Use python raw_data_splitter.py to split data into train and test folders

Learning faces from extracted data:

• cd ../ & python main_train.py
• To verify training results python main_test.py that simply evaluate model

Identifying students:

• To start identifying students from local camera run main_identify.py

Examples:

First try with model trained on 8 people X 100photos per person

Models

https://drive.google.com/open?id=1ETMMRkSKN3qR1mNPOqJ9gYit7AzsDVUD