FaceRank - Rank Face by CNN Model based on TensorFlow (add keras version). FaceRank-人脸打分基于 TensorFlow (新增 Keras 版本) 的 CNN 模型(QQ群:167122861)。技术支持:http://tensorflow123.com
Switch branches/tags
Nothing to show
Clone or download
Latest commit d919cd1 Nov 3, 2017
Permalink
Failed to load latest commit information.
FaceRank_with_keras FaceRank的keras实现 Aug 1, 2017
.gitattributes Create .gitattributes Aug 1, 2017
.gitignore init Jul 29, 2017
LICENSE init Jul 29, 2017
Train_Result.md Update Train_Result.md Jul 31, 2017
Trained_Models.md Update Trained_Models.md Aug 4, 2017
cang.jpg fix pic Jul 31, 2017
cn_readme.md update Sep 3, 2017
find_faces_in_picture.py init Jul 29, 2017
readme.md Update readme.md Nov 3, 2017
resize_image.py init Jul 29, 2017
run_model.py init Jul 29, 2017
stack_data.py init Jul 29, 2017
t_find_faces_in_picture.py init Jul 29, 2017
t_resize_image.py init Jul 29, 2017
toturial.md Update toturial.md Aug 2, 2017
train_model.py init Jul 29, 2017
wechatgroup.jpg update Sep 3, 2017

readme.md

Face Rank - Rank Face by CNN Model based on TensorFlow

Keras Version

https://github.com/fendouai/FaceRank/tree/master/FaceRank_with_keras

RankFace

A deep learning based model to judge the AQ, Appearance Quotient, of faces. (For Chinese Young Girls Only) https://github.com/Entropy-xcy/RankFace

中文说明(QQ群:522785813)

项目总体说明:https://github.com/fendouai/FaceRank/blob/master/cn_readme.md

运行详细说明:https://github.com/fendouai/FaceRank/blob/master/toturial.md

Gitee(速度更快)

项目总体说明:https://gitee.com/fendouai/FaceRank/blob/master/cn_readme.md

运行详细说明:https://gitee.com/fendouai/FaceRank/blob/master/toturial.md

Result Pic

Result Pic

Privacy

Because of privacy,the training images dataset is not provided. maybe some carton images will be given later.

Dataset

  • 130 pictures with size 128*128 from web with tag image: 1-3.jpg means rank 1,3st train pic you can add your own pics to the resize_images folder

Model

Model is CNN based on TensorFlow based on : https://github.com/aymericdamien/TensorFlow-Examples/

Run

After you installed TensorFlow ,just run train_model.py.

  • train the model
  • save the model to model dir

Test

After you run the train_model.py ,just run the run_model.py to test.

Download

The model is trained can be download at http://www.tensorflownews.com/

WechatGroup

If it is out of time,you can go to http://www.tensorflownews.com/ ,I will update the wechat group qcode here.

Thanks

@HadXu develop the keras version https://github.com/fendouai/FaceRank/tree/master/FaceRank_with_keras