ARG CUDA_VERSION=11.1 # onnxruntime-gpu requires cudnn ARG CUDNN_VER=8 # See possible types: https://hub.docker.com/r/nvidia/cuda/tags?page=1&ordering=last_updated ARG IMAGE_TYPE=runtime FROM nvidia/cuda:${CUDA_VERSION}-${IMAGE_TYPE}-ubuntu20.04 AS builder ENV DEBIAN_FRONTEND=noninteractive RUN apt update && \ apt install -y wget \ && \ apt autoremove -y && \ apt clean -y # Install Miniconda See possible versions: https://repo.anaconda.com/miniconda/ ARG CONDA_VERSION=3-py38_4.9.2 ARG CONDA_DIR=/opt/conda ENV PATH=$CONDA_DIR/bin:$PATH RUN wget -q -O ./miniconda.sh http://repo.continuum.io/miniconda/Miniconda${CONDA_VERSION}-Linux-x86_64.sh \ && sh ./miniconda.sh -bfp $CONDA_DIR \ && rm ./miniconda.sh WORKDIR /home COPY ./environment.yml ./environment.yml RUN conda env update -n base --prune --file ./environment.yml && \ conda clean -ay && rm ./environment.yml FROM nvidia/cuda:${CUDA_VERSION}-cudnn${CUDNN_VER}-${IMAGE_TYPE}-ubuntu20.04 ARG CONDA_DIR=/opt/conda # Copy conda installation COPY --from=builder /opt/conda $CONDA_DIR ENV PATH=$CONDA_DIR/bin:$PATH ENV DEBIAN_FRONTEND=noninteractive RUN apt update && \ apt install -y software-properties-common && \ # the latest version of Git add-apt-repository ppa:git-core/ppa && \ apt update && \ apt install -y --no-install-recommends \ git ca-certificates wget unzip \ libgl1-mesa-glx \ && \ apt autoremove -y && \ apt clean -y WORKDIR /home ARG PROJECT_COMMIT_HASH=186a57aa96f6422a3043021602d3586641711186 RUN git clone --single-branch https://github.com/neuralchen/SimSwap.git && \ cd ./SimSwap && \ git checkout ${PROJECT_COMMIT_HASH} && \ rm -rf .git && \ ./download-weights.sh && \ python test_video_swapsingle.py \ --isTrain false --use_mask --name people \ --Arc_path arcface_model/arcface_checkpoint.tar \ --pic_a_path ./demo_file/Iron_man.jpg \ --video_path ./demo_file/multi_people_1080p.mp4 \ --output_path ./output/multi_test_swapsingle.mp4 \ --temp_path ./temp_results WORKDIR /home/SimSwap