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video-object-annotation-interface's Introduction

Video Object Annotation Interface

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.

Installation

sudo apt-get install pyqt5-dev-tools

sudo pip3 install -r requirements.txt

make qt5py3

python3 main.py

Citation

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.

video-object-annotation-interface's People

Contributors

ltnghia avatar

Stargazers

TzuRen avatar Minh-Khoi Pham avatar

Watchers

James Cloos avatar  avatar Minh-Khoi Pham avatar

Forkers

375000384 kaylode

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