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Dockerfile.aiortc_yolo_worker
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Dockerfile.aiortc_yolo_worker
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# Ubuntu 18.04 and aiortc
# aiortc: https://github.com/jlaine/aiortc
FROM ubuntu:18.04
MAINTAINER mganeko
#
# -- if you are using docker behind proxy, please set ENV --
#
#ENV http_proxy "http://proxy.yourdomain.com:8080/"
#ENV https_proxy "http://proxy.yourdomain.com:8080/"
ENV DEBIAN_FRONTEND nonineractive
# -- build step --
RUN apt update
RUN apt upgrade -y
RUN apt install python3 -y
RUN apt install python3-pip -y
RUN apt install python3-dev -y
RUN python3 -V
RUN pip3 -V
RUN pip3 install --upgrade pip
RUN pip -V
RUN apt install libopus-dev -y
RUN apt install libvpx-dev -y
RUN apt install libffi-dev -y
RUN apt install libssl-dev -y
# -- timezone で止まる
RUN apt install libopencv-dev -y
# RUN DEBIAN_FRONTEND=nonineractive apt install libopencv-dev -y
RUN apt install git -y
RUN mkdir /root/work
WORKDIR /root/work/
RUN git clone https://github.com/jlaine/aiortc.git
RUN pip install aiohttp
RUN pip install aiortc
RUN pip install opencv-python
#-- copy ---
#COPY server2.py /root/work/aiortc/examples/server/
#COPY server_yolo.py /root/work/aiortc/examples/server/
#
# ------ yolo v3 ---
#
RUN apt install vim -y
RUN apt install wget -y
WORKDIR /root/work/
RUN git clone https://github.com/pjreddie/darknet.git
WORKDIR /root/work/darknet
RUN make
RUN wget https://pjreddie.com/media/files/yolov3.weights
RUN wget https://pjreddie.com/media/files/yolov3-tiny.weights
RUN ln -s /root/work/darknet/libdarknet.so /usr/lib/libdarknet.so
# --- link ---
RUN ln -s /root/work/darknet/cfg /root/work/aiortc/examples/server/
RUN ln -s /root/work/darknet/data /root/work/aiortc/examples/server/
RUN ln -s /root/work/darknet/yolov3-tiny.weights /root/work/aiortc/examples/server/
#-- copy ---
WORKDIR /root/work/
RUN git clone https://github.com/mganeko/aiortc_yolov3.git
RUN cp /root/work/aiortc_yolov3/server_yolo_worker.py /root/work/aiortc/examples/server/
RUN cp /root/work/aiortc_yolov3/index_w.html /root/work/aiortc/examples/server/index.html
RUN cp /root/work/aiortc_yolov3/client_w.js /root/work/aiortc/examples/server/client.js
#COPY index_w.html /root/work/aiortc/examples/server/index.html
#COPY client_w.js /root/work/aiortc/examples/server/client.js
##COPY client.js /root/work/aiortc/examples/server/client.js
#COPY server_yolo_worker.py /root/work/aiortc/examples/server/
# --- for running --
EXPOSE 8080
WORKDIR /root/work/aiortc/examples/server/
#CMD [ "python3", "server_yolo.py" ]
CMD [ "python3", "server_yolo_worker.py" ]
# ----
# memo
# ----
# -- to build --
# docker build -t mganeko/aiortc-yolov3 -f Dockerfile.aiortc_yolo .
# docker build -t mganeko/aiortc-yolov3 -f Dockerfile.aiortc_yolo_worker .
# docker build --no-cache=true -t mganeko/aiortc-yolov3 -f Dockerfile.aiortc_yolo .
# -- bash --
# docker run -it mganeko/aiortc-yolov3 bash
# docker run -it -p 8001:8080 mganeko/aiortc-yolov3 bash
#
# docker run -it -v /Users/ganeko/project/docker/aiortc/temp:/root/work/temp mganeko/aiortc-yolov3 bash
# -- run yolo --
# ./darknet detect cfg/yolov3.cfg yolov3.weights data/dog.jpg
#
# python3 python/darknet-tiny.py
# -- run --
# docker run -d -p 8001:8080 --name aio mganeko/aiortc-yolov3
# -- stop --
# docker stop aio
# -- remove stoped container ---
# docker rm $(docker ps -q -f status=exited)
# -- connect to running container ---
# docker exec -i -t {id or name} /bin/bash