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This repository contains a standalone dockerfile to correctly install GPU executable image for deeplab-public-ver2. The image can be built by running:

nvidia-docker build -t caffe_dl:gpu standalone/dl_gpu

The image requires a CUDA 7.5 capable driver to be installed on the system and nvidia-docker for running the Docker containers.

For more information on how to run Caffe using the docker image please refer to the Caffe guide.

For more information on capabilities of deeplab-public-ver2, please refer to the source code, or to the following paper:

@article{CP2016Deeplab,
  title={DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs},
  author={Liang-Chieh Chen and George Papandreou and Iasonas Kokkinos and Kevin Murphy and Alan L Yuille},
  journal={arXiv:1606.00915},
  year={2016}
}