1. ubuntu installs anaconda3 5.X
2. build virtual envs
> conda create -n bagreid python=3.6
> source activate bagreid
3. conda install package
> conda install pytorch torchvision cudatoolkit=9.0 -c pytorch
> conda install pandas
> pip install tensorboardX yacs
4. > git clone https://github.com/NVIDIA/apex
> cd apex
> pip install -v --no-cache-dir ./
1. download mvb dataset from http://volumenet.cn/#/
2. > git clone https://github.com/wuyuejinxia/prcv2019-mvb-renet.git
> cd prcv2019-mvb-renet
> mkdir data
> mv MVB_train/Image data/MVB/bounding_box_train
> mv MVB_train/Info/train.json data/MVB/train.json
> mv MVB_val/Image/gallery data/MVB/gallery
> mv MVB_val/Info/val_gallery.json data/MVB/val_gallery.json
> mv MVB_val/Image/probe data/MVB/probe
> mv MVB_val/Info/val_probe.json data/MVB/val_probe.json
You are encouraged to cite the following papers if this work helps your research.
@misc{zhang2019mvb,
title={MVB: A Large-Scale Dataset for Baggage Re-Identification and Merged Siamese Networks},
author={Zhulin Zhang and Dong Li and Jinhua Wu and Yunda Sun and Li Zhang},
year={2019},
eprint={1907.11366},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
url: https://arxiv.org/abs/1907.11366