隧道 docker 打包
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@ -2,7 +2,6 @@ FROM nvcr.io/nvidia/l4t-tensorflow:r32.6.1-tf2.5-py3
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RUN apt-get install make g++ gcc
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RUN pip3 install gunicorn
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RUN pip3 install setuptools==46.1.3
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#RUN pip3 install flask numpy Pillow six matplotlib
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RUN mkdir -p /app
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WORKDIR /app
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@ -1,18 +0,0 @@
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FROM python:3.7.16
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ENV PYTHONUNBUFFERED 1
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# RUN sed -i s@/deb.debian.org/@/mirrors.aliyun.com/@g /etc/apt/sources.list
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# RUN cat /etc/apt/sources.list
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# RUN apt-get update \
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# && apt-get install -y make \
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# && apt-get clean \
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# && rm -rf /var/lib/apt/lists/*
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RUN mkdir -p /app
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WORKDIR /app
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COPY requirements.txt /app
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RUN python -m venv .
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# RUN pip install pip==23.0.1
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RUN pip install setuptools==46.1.3
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RUN pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/
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COPY ./app /app
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EXPOSE 5000
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CMD ["gunicorn", "--bind", ":5000", "server:app"]
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2
build.sh
2
build.sh
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@ -1,3 +1,3 @@
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# /usr/bash
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docker build --tag hpds-road-detection:1.0.0 .
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docker build --tag hpds-tunnel-detection:1.0.0 .
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@ -1,13 +1,13 @@
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version: "3.6"
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services:
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hpds-python-model:
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container_name: hpds-road-detection-model
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image: hpds-road-detection:1.0.0
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container_name: hpds-tunnel-detection-model
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image: hpds-tunnel-detection:1.0.0
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networks:
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- hpds-network
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restart: always
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ports:
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- 8000:5000
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- "8001:5000"
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volumes:
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- /usr/local/cuda/lib64:/usr/local/cuda/lib64
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@ -2,4 +2,3 @@ Flask==1.1.2
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numpy==1.18.4
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Pillow==7.1.2
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six==1.15.0
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