Face Beautiful Rating System

This is a simlpe Deep Learning Applecation on C/S architecture.

library:

1.Keras2

2.TensorFlow 1.4

3.Flask

4.Scipy

5.OpenCV 3

How to Run

You can run the System both on local or Android Client(need serving.)

url of weight: https://pan.baidu.com/s/1pKQvn3H, copy the weight to ./weight/

local

1.pip install or library we need.

2.copy the img to the ./iamge/

3.python predict.py xxx.jpg

Android Client

1.Start the serving:

python Flask_serving.py --ip=<your_ip> --port=<80>

2.fix the Android client

1 Download the Android client，url：https://pan.baidu.com/s/1nwYacjB

2.Open the Android client by Android stdio,fix the host on java/ljw/myapi

(make sure keep same with Flask_serving)  

3.Install the Android client on your Smart Phone,enjoy it!

Detel of module

1.face detection module：

The module saved on haarcascades/ and haarcascades_cuda/.

The face detection API implement by OpenCV 3.

2.Rating module：

(1).The Deep neural network was trained on SCUT Face Data.

finaly accuracy：97.2%

url of data：www.hcii-lab.net/data/SCUT-FBP/CN/introduce.html

(2).Architecture of CNNs(vgg):