face analysis project with tensorflow 2.0 || arcface
For supporters, My Bitcoin/coin.space: 1LUFWnzrGVLdsZ7gnfee87iX6QqSn24Tvr
Thank you for donations, i am grateful.
🌟🌟🌟 You can also support me by starring this project 🌟🌟🌟
You can use one of my models or train your own face recognition model with the help of Google Colab page linked below. For more information of the title face recognition, please visit this folder
Model | Architecture | Epochs | LFW Acc | AgeDB Acc | CFP Acc |
---|---|---|---|---|---|
A | InceptionResNetV1 | 9 | %99.53 | %95.11 | %93.97 |
B | ResNet50V2 | 11 | %99.51 | %94.53 | %93.60 |
C | L_Resnet50_E_IR | 7 | %99.70 | %96.75 | %97.34 |
User gives the face at the right side of page to program, program extract features through machine learning model, features compares with those already saved in database and result prints on the screen. Face on the left side of page is Emma Watson's face in the database. Values such age, sex and ethnicity are loaded from database too, you can re-analyze those values by clicking re-analyze with models
pip install -r requirements.txt
I highly recommend to use a GPU, you can follow those steps if you have one.
electron .
while python server is running.I will add a video to YouTube to explain how you can install and how it works, stay tuned.
I will make a version of app that works with TensorFlow JS so it can be work with just electron, stay tuned.