Tensorflow implementation of Automatic Portrait Matting on paper "Automatic Portrait Segmentation for Image Stylization"

• Tensorflow
• scipy
• six
• PIL
• numpy

mkdir Model_zoo and download http://www.vlfeat.org/matconvnet/models/beta16/imagenet-vgg-verydeep-19.mat

download data from http://xiaoyongshen.me/webpage_portrait/index.html

mkdir data and copy the following folders and files into data/:

• images_mask/
• images_data/
• images_data_crop/
• images_tracker/
• portraitFCN_data/
• portraitFCN+_data/
• meanmask.png
• testlist.mat
• trainlist.mat

Some of the folders data above, will be obtained by additional scripting. To obtain additional data, run the data_download.m and generate_data_file.m respectively

FCN.py and FCN_puls.py implements the two models in that paper. To train:

if __name__ == "__main__": tf.app.run() #pred()

After train, predict:

if __name__ == "__main__": #tf.app.run() pred()

Thanks for Xiaoyong Shen and his paper

"Deep Automatic Portrait Matting" Xiaoyong Shen, Xin Tao, Hongyun Gao, Chao Zhou, Jiaya Jia. European Conference on Computer Vision (ECCV), 2016

I can't reach the performance in this paper. So please modify it as you want and inform me if any improvement.