https://github.com/msracver/Deep-Exemplar-based-Colorization.git
Tip revision: b5af03a22e1b5c4f7a299654318fcedd20397f6e authored by Mingming He on 26 July 2019, 05:04:33 UTC
Update README.md
Update README.md
Tip revision: b5af03a
Dockerfile
FROM nvcr.io/nvidia/pytorch:19.06-py3
RUN apt-get update -y
RUN curl -LO http://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh
RUN bash Miniconda-latest-Linux-x86_64.sh -p /miniconda -b
RUN rm Miniconda-latest-Linux-x86_64.sh
ENV PATH=/miniconda/bin:${PATH}
RUN conda update -y conda
RUN conda create -n torch python=3.6 -y
RUN echo "source activate torch" > ~/.bashrc
ENV PATH /opt/conda/envs/env/bin:$PATH
RUN mkdir -p /src/app
WORKDIR /src/app
ADD requirements.txt /src/app/requirements.txt
RUN source activate torch && conda install --file requirements.txt
ADD colorization_subnet /src/app/colorization_subnet
ADD demo /src/app/demo
ADD similarity_subnet /src/app/similarity_subnet
RUN mkdir -p /src/app/demo/models/colorization_subnet
RUN wget -O /src/app/demo/models/colorization_subnet/example_net.pth http://pretrained-models.auth-18b62333a540498882ff446ab602528b.storage.gra5.cloud.ovh.net/image/exemplar-colorization/example_net.pth
