Update on 2018/12/06. Provide model trained on VOC and SBD datasets.
Update on 2018/11/24. Release newest version code, which fix
some previous issues and also add support for new backbones and
multi-gpu training. For previous code, please see in previous branch
This is a PyTorch(0.4.1) implementation of DeepLab-V3-Plus. It
can use Modified Aligned Xception and ResNet as backbone. Currently, we train DeepLab V3 Plus
using Pascal VOC 2012, SBD and Cityscapes datasets.
Installation
The code was tested with Anaconda and Python 3.6. After installing the Anaconda environment: