Re-ID_MGN_Paddlepaddle

The code

Dependencies:

PaddlePaddle==2.1

Data:

The data structure will be like:

data/
    bounding_box_test/
    bounding_box_train/
    gt_bbox/
    gt_query/
    query/

Market1501

You can download dataset from here . The password is : RWZW

Weights

The weights we have already trained can be download here . The password is : qqqq

Train

python main.py --mode train --data_path <path/to/Market-1501-v15.09.15>

You can find more parameters in opt.py

Evaluate

You can use our weight or your trained weight

python main.py --mode evaluate --data_path <path/to/Market-1501-v15.09.15> --weight <path/to/weight_name.pdparams>

Visualize

python main.py --mode vis --query_image <path/to/query_image> --weight <path/to/weight_name.pdparams>

Visualize rank10 query result from bounding_box_test

Citation

@ARTICLE{2018arXiv180401438W,
    author = {{Wang}, G. and {Yuan}, Y. and {Chen}, X. and {Li}, J. and {Zhou}, X.},
    title = "{Learning Discriminative Features with Multiple Granularities for Person Re-Identification}",
    journal = {ArXiv e-prints},
    year = 2018,
}

https://github.com/GNAYUOHZ/ReID-MGN