Make sure conda <https://www.anaconda.com/distribution/>_ is installed.
git clone https://github.com/djidje/D-MMD
# create environment
cd D-MMD
conda create --name d-mmd python=3.7
conda activate d-mmd
# install dependencies
pip install -r requirements.txt
# install torch and torchvision (select the proper cuda version to suit your machine)
conda install pytorch torchvision cudatoolkit=9.0 -c pytorch
# install torchreid (don't need to re-build it if you modify the source code)
python setup.py develop
The code is inspired from: https://github.com/KaiyangZhou/deep-person-reid
**Please arrange the data as proposed here: ** https://kaiyangzhou.github.io/deep-person-reid/datasets.html
To train a model based on source:
python source_training.py
You can run it for Market1501, DukeMTMC and MSMT17 by changing the source in the python file by their correspunding names : market1501, dukemtmcreid and msmt17 :
source = 'market1501'
target = sourceThe model will be saved in this repo and will be used to perform the adaptation.
To perform the adaptation, do:
D-MMD.py
You can set the transfer problem you want by changing:
source = 'market1501'
target = 'dukemtmcreid'
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