This is a Flask server designed to match faces to IDs from a database.
The server takes an image and compares its encodeing to the stored encodings in the database and returns the ID of the best matched face, along with a (scaled) confidence score.
Python Version: 3.8.10
APT Extras: None
PIP Packages:
pip install requirements.txt
conf
- folder containing a data file for predicting facial landmarks for encoding faces
db
- folder containing sqlite3 databases
faces
- folder of images for each face, which are inserted into the database
log
- folder containing log files
tmp
- test folder, can be ignored
python3 frs.py