Multitask_Weather
Environment:
python 2.7
tensorflow 1.4.0
Usage:
- use generate_tfrecord.py to construct tfrecord files for tensorflow
- cd to the root path
- change the mode in run.py (train, test and visualize)
- python File/run.py
Dataset
The pretrained model and raw data used in our paper are available at Baidu network disk or MEGA network disk.
Please refer to our paper for more details.
Citation:
@inproceedings{DBLP:conf/mm/LiWL17,
author = {Xuelong Li and Zhigang Wang and Xiaoqiang Lu},
title = {A Multi-Task Framework for Weather Recognition},
booktitle = {Proceedings of the 2017 {ACM} on Multimedia Conference, {MM} 2017, Mountain View, CA, USA, October 23-27, 2017},
pages = {1318--1326},
year = {2017}
}