pinglmlcv / AdaMatting

an unofficial pytorch implementation of ICCV 2019 paper "Disentangled Image Matting"

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AdaMatting

an unofficial pytorch implementation of ICCV 2019 paper "Disentangled Image Matting"
this project is not finished

Dependencies

  • python 3.6
  • pytorch 1.4.0
  • tensorboardX
  • opencv

Datasets

Adobe Composition-1k Dataset

Contact author for the dataset.

MSCOCO

train2014.zip

PASCAL VOC

PASCAL VOC:

Usage

Download and move all above compressed data files into a folder.
Set --raw_data_path={path_to_your_folder} in any .sh file you use.

Decompress and composite the data

$ bash ./prep.sh

Train

$ bash ./train.sh

Visualize training

$ tensorboard --logdir ./runs

Test

TODO

Results and trained model

TODO

About

an unofficial pytorch implementation of ICCV 2019 paper "Disentangled Image Matting"

License:MIT License


Languages

Language:Python 99.4%Language:Shell 0.6%