Beauty AI

Features

Beauty is an AI drive app that can help user become beautiful.

it contain those functions:

face score cheek
face beauty report
face imporve proposals
face comparison ( pk )

right now, it can only support asian women

and other function is under construction

The latest Android Version download:

https://gitee.com/knifecms/beauty/releases

(there is no web connection data transfer, every function works in mobile locally )

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Project Introduce

1.face contour detection

use Dlib

2.face skin detection

byol + lda

3.Overall characteristics

resnet

Sub projects

android beauty app
deep learning face beauty research
asian face leaderboard

and leaderboard website: http://1mei.fit

Environment

Python 3.8

Usage in python

1.clone:

git clone https://gitee.com/knifecms/beauty.git
or
git clone https://github.com/showkeyjar/beauty.git

2.Install depend;

2.1 new install:

conda install cmake
conda install nodejs
conda install dlib

2.2 Import conda env：

conda env create -f face.yaml

3.Modify predict.py image path

# change the detect image path
test = "data/2.jpg"

4.Execute:

python predict.py

you can get beauty score in [0-5], the higher the better

5.Interpretation of results:

execute dir landmarks/ 

    1_gen_feature.py 
    
    2_prepare_data.py 
    
gen features in: data/face/features.csv

then run:

python predict_interpret.py

6.run in cam:

python predict_cam.py

7.run web service:

python predict_server.py

or run:

./restart_server.sh

preview：

http://locahost:5000/pred

we use two tech to explain result: lime and shap(recommend)

Todo

1.redesign the face report, do not use AI explain framework but combine small face part scores.

2.face score explain

3.use lbph in android to detect skin type

4.use semantic structural features

DEV:

train data:

https://github.com/HCIILAB/SCUT-FBP5500-Database-Release

Directory description:

App     	    android project
dl              deep learning models
doc             documents
feature         face features
landmarks       face landmarks process
leaderboard     asian face leaderboard
logs            log dirs
model           trained models
static          flask web assets
template        flask templates
test            unit test