Dockerfile

#ARG BASE_IMAGE=nvcr.io/nvidia/deepstream:5.0-dp-20.04-triton
ARG BASE_IMAGE
FROM ${BASE_IMAGE}

# Install dependencies
RUN apt-get update --fix-missing && apt-get install -y \
   ca-certificates \
   build-essential \
   autoconf libtool \
   python3 \
   python3-dev \
   python3-pip \
   python3-setuptools \
   python-gi-dev \
   libgstreamer1.0-dev \
   python3-opencv \
   libgstrtspserver-1.0-0 \
   gstreamer1.0-rtsp \
   libgirepository1.0-dev \
   gobject-introspection \
   gir1.2-gst-rtsp-server-1.0 \
   && apt-get clean && rm -rf /var/lib/apt/lists/*

#
# This will copy in the Python deepstream bindings.
#
# NOTE: These bindings are not here in this repo because NVIDIA has chosen
#       to make these bindings available only when logged-in to an NVIDIA
#       developer account.
#
# Use the URL below; create a free NVIDIA developer account if you don't
# already have one; then login, go to this page, agree to general terms
# and python terms, and then at the bottom of the page, click to download
# the python bindings into this directory. (I developed this with v0.9).
# Here's the URL:
#     https://developer.nvidia.com/deepstream-getting-started
#
# Place the resulting file in this directory and then you can "make build"
#
COPY deepstream_python_v*.tbz2 /
WORKDIR /
RUN tar -xvf /deepstream_python_v*.tbz2
RUN tar -xvf /deepstream_python_v*/ds_pybind_v0.9.tbz2 -C /opt/nvidia/deepstream/deepstream-5.0/sources

# Copy the python source and config file
COPY deepstream-rtsp.py deepstream-rtsp.cfg / 

# Set the WORKDIR and default ENTRYPOINT command
# Unfortunately the base container sets an ENTRYPOINT, not a CMD, so it is a
# very awkward to use this container except as a shell command.
# To do development, uncomment the 2 lines below, and comment the other two.
#WORKDIR /outside
#ENTRYPOINT /bin/bash
WORKDIR /
ENTRYPOINT python3 ./deepstream-rtsp.py