FastAttr in FastReID

This project provides a strong baseline for pedestrian attribute recognition.

Datasets Preparation

We use PA100k to evaluate the model's performance. You can do download dataset from HydraPlus-Net.

Usage

The training config file can be found in projects/FastAttr/config, which you can use to reproduce the results of the repo.

For example

python3 projects/FastAttr/train_net.py --config-file projects/FastAttr/configs/pa100.yml --num-gpus 4

Experiment Results

We refer to A Strong Baseline of Pedestrian Attribute Recognition as our baseline methods and conduct the experiment with 4 GPUs. More details can be found in the config file and code.

PA100k