Dockerfile

#
#   ref https://github.com/tebeka/pythonwise/blob/master/docker-miniconda/Dockerfile
#
#   miniconda vers: http://repo.continuum.io/miniconda
#   sample variations:
#     Miniconda3-latest-Linux-armv7l.sh
#     Miniconda3-latest-Linux-x86_64.sh
#     Miniconda3-py38_4.10.3-Linux-x86_64.sh
#     Miniconda3-py37_4.10.3-Linux-x86_64.sh
#
#   py vers: https://anaconda.org/anaconda/python/files
#   tf vers: https://anaconda.org/anaconda/tensorflow/files
#   tf-mkl vers: https://anaconda.org/anaconda/tensorflow-mkl/files
#

ARG UBUNTU_VER=20.04
ARG CONDA_VER=latest
ARG OS_TYPE=x86_64
ARG PY_VER=3.8.11


FROM ubuntu:${UBUNTU_VER}

# System packages 
RUN apt-get -y update
RUN apt-get -y upgrade
RUN DEBIAN_FRONTEND=noninteractive TZ=Etc/UTC apt-get -y install tzdata

RUN apt-get install -yq curl build-essential
RUN apt-get install -y git
RUN apt-get install ffmpeg libsm6 libxext6  -y
# Use the above args during building https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
ARG CONDA_VER
ARG OS_TYPE
# Install miniconda to /miniconda
RUN curl -LO "http://repo.continuum.io/miniconda/Miniconda3-${CONDA_VER}-Linux-${OS_TYPE}.sh"
RUN bash Miniconda3-${CONDA_VER}-Linux-${OS_TYPE}.sh -p /miniconda -b
RUN rm Miniconda3-${CONDA_VER}-Linux-${OS_TYPE}.sh
ENV PATH=/miniconda/bin:${PATH}
RUN conda update -y conda
RUN conda install -c conda-forge jupyterlab
RUN conda install -c conda-forge nb_conda_kernels

ARG PY_VER


RUN mkdir /home/robot_pose_estimation
RUN mkdir /home/dataset

COPY environment.yml environment.yml
RUN conda env create -f environment.yml
SHELL ["conda","run","-n","pytorch","/bin/bash","-c"]
RUN python -m ipykernel install --name pytorch --display-name "pytorch"

SHELL ["/bin/bash","-c"]
RUN conda init
RUN echo 'conda activate pytorch' >> ~/.bashrc

WORKDIR /home