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Person Attribute Recognition

This code was developed for the experiment of person attribute recognition in Omni-Scale Feature Learning for Person Re-Identification (ICCV'19).

Download data

Download the PA-100K dataset from https://github.com/xh-liu/HydraPlus-Net, and extract the file under the folder where you store your data (say $DATASET). The folder structure should look like

$DATASET/
    pa100k/
        data/ # images
        annotation/
            annotation.mat

Train

The training command is provided in train.sh. Run bash train.sh $DATASET to start training.

Test

To test a pretrained model, add the following two arguments to train.sh: --load-weights $PATH_TO_WEIGHTS --evaluate.