README.md

Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks

Demo code with GUI interface.
paper

Requirements

• python 3.6
• pytorch 0.3.1
• davisinteractive
• matplotlib
• PyQt5

How to Use

Environment setup

conda create --name ivs python=3.6
source activate ivs

pip install PyQt5 matplotlib opencv-contrib-python pillow Cython
pip install davisinteractive

conda install pytorch=0.3.1 cuda90 -c pytorch
conda install torchvision

Download weights

wget -O I_e290.pth "https://www.dropbox.com/s/khx9hmtnqbzg634/I_e290.pth?dl=1"
wget -O P_e290.pth "https://www.dropbox.com/s/89heglbglig0g04/P_e290.pth?dl=1"

Run!

python gui.py -seq camel 

Test your own videos

Locate videos in ./sequences/[name] Run

python gui.py -seq [name]

Reference

If you find our paper and repo useful, please cite our paper. Thanks!

Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks
Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim
CVPR 2019