The code and resouces for SSF-DAN , We have uploaded all the models and the evaluate code.
We will publish the paper and upload the train code soon.
System : ubuntu 16.04
Hardware: Nvidia Tesla P100
Software: Pytorch 0.4.1, CUDA-8.0, cuDNN 5.1 or 6.0, python 3.5
For more packages information, we prepared them in the requires.sh file.
We released our models in google drive, they can be downloaded [here]
In the experiments, we use GTA5, cityscape, Synthia, Crosscity datasets,you can download them in the follow links:
[GTA5]
[Cityscape]
[Synthia]
[Crosscity]
1.make a project dir:
mkdir ~/SSF-DAN
2.clone the SSF-DAN repository:
git clone https://github.com/JingangTan/SSF-DAN
3.download the GTA5 dataset and put it in dataset/GTA5/ and download Cityscape dataset put it in dataset/Cityscapes/. For other dataset, you can take the same operation.
4.create a new virtual enviromen, if you want to use system python enviromen,you can ignore this.
sudo pip install virtualenv
virtualenv -p /usr/bin/python3.5 ~/vir-ssf-dan
cd ~/vir-ssf-dan
source bin/activate
cd ~/SSF-DAN
5.install the packages in requires.sh:
sh requires.sh
python evaluate.py
iou.py