Dockerfile.nvidia

FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04

# Always use UTC on a server
RUN ln -snf /usr/share/zoneinfo/UTC /etc/localtime && echo UTC > /etc/timezone

RUN DEBIAN_FRONTEND=noninteractive apt update && apt install -y python3 python3-pip python3-tk git ffmpeg nvidia-cuda-toolkit nvidia-container-runtime libnvidia-decode-525-server wget unzip
RUN wget https://github.com/deepinsight/insightface/releases/download/v0.7/buffalo_l.zip -O /tmp/buffalo_l.zip && \
        mkdir -p /root/.insightface/models/buffalo_l && \
        cd /root/.insightface/models/buffalo_l && \
        unzip /tmp/buffalo_l.zip && \
        rm -f /tmp/buffalo_l.zip

RUN pip install nvidia-tensorrt
RUN git clone https://github.com/xaviviro/refacer && cd refacer && pip install -r requirements-GPU.txt

WORKDIR /refacer

# Test following commands in container to make sure GPU stuff works
# nvidia-smi
# python3 -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))"