Visit our Project Page for accessing the paper, and the data.
This work is based on LabelImg.
It is written in Python and uses Qt for its graphical interface.
Annotations are saved as Json files in MS-COCO format.
sudo apt-get install pyqt5-dev-tools
sudo pip3 install -r requirements.txt
make qt5py3
python3 main.py
Please cite the following paper:
@inproceedings{ltnghia-wacv2020,
author = {Trung-Nghia Le and Akihiro Sugimoto and Shintaro Ono and Hiroshi Kawasaki},
title = {Semantic Instance Meets Salient Object: Study on Video Semantic Salient Instance Segmentation},
booktitle = {Toward Interactive Self-Annotation For Video Object Bounding Box: Recurrent Self-Learning And Hierarchical Annotation Based Framework},
year = {2020}
}
The code is used for academic purpose only.
Contact: Trung-Nghia Le.