Code corresponding to paper: AsNet: Asymmetrical Network for Learning Rich Features in Person Re-Identification
To create exceutable environment with anaconda:
conda env create -f conda.yaml
conda activate reid
To install required python packages with pip:
pip install -r requirements.txt
To train and evaluate AsNet model on Market1501 dataset:
python exp_as_net.py --config-file ./configs/market.yaml --transforms random_flip random_erase --root /path/to/your/data
To train and evaluate AsNet model on CUHK03_Detected dataset:
python exp_as_net.py --config-file ./configs/cuhk03_detected.yaml --transforms random_flip random_erase --root /path/to/your/data
To train and evaluate AsNet model on CUHK03_Labeled dataset:
python exp_as_net.py --config-file ./configs/cuhk03_labeled.yaml --transforms random_flip random_erase --root /path/to/your/data
To train and evaluate AsNet model on DukeMTMC dataset:
python exp_as_net.py --config-file ./configs/market.yaml --transforms random_flip random_erase --root /path/to/your/data
To train and evaluate AsNet model on MARS dataset:
python exp_as_net.py --config-file ./configs/mars.yaml --transforms random_flip random_erase --gpu-devices 2 --root /path/to/your/data
All records and log file are in the ./log/ directory.