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python-3.x - AWS Lambda 容器映像中的 OpenCV

问题描述

我正在尝试构建一个 docker 映像，它将作为 AWS Lambda 上的一个函数进行部署。能够成功构建和测试图像，但是当我尝试在函数中导入 OpenCV 时遇到问题。

当我从 app.py 中删除 import 语句时，我没有遇到这个问题

我面临的错误 -

{"errorMessage": "Unable to import module 'app': libGL.so.1: cannot open shared object file: No such file or directory", "errorType": "Runtime.ImportModuleError"}

我的 Dockerfile -

# Define custom function directory
ARG FUNCTION_DIR="/function"

FROM python:3.9 as build-image

# Include global arg in this stage of the build
ARG FUNCTION_DIR

# Install aws-lambda-cpp build dependencies
RUN apt-get update && \
  apt-get install -y \
  g++ \
  make \
  cmake \
  unzip \
  libcurl4-openssl-dev

RUN apt-get install -y --fix-missing \
    build-essential \
    cmake \
    gfortran \
    git \
    wget \
    curl \
    graphicsmagick \
    libgraphicsmagick1-dev \
    libatlas-base-dev \
    libavcodec-dev \
    libavformat-dev \
    libgtk2.0-dev \
    libjpeg-dev \
    liblapack-dev \
    libswscale-dev \
    pkg-config \
    python3-dev \
    python3-numpy \
    software-properties-common \
    zip \
    && apt-get clean && rm -rf /tmp/* /var/tmp/*

# Copy function code
RUN mkdir -p ${FUNCTION_DIR}
COPY app/* ${FUNCTION_DIR}

WORKDIR ${FUNCTION_DIR}

RUN pip install -r requirements.txt --target ${FUNCTION_DIR}

# Install the function's dependencies
RUN pip install \
    --target ${FUNCTION_DIR} \
        awslambdaric


FROM python:3.9

# Include global arg in this stage of the build
ARG FUNCTION_DIR
# Set working directory to function root directory
WORKDIR ${FUNCTION_DIR}

# Copy in the built dependencies
COPY --from=build-image ${FUNCTION_DIR} ${FUNCTION_DIR}

ENTRYPOINT [ "/usr/local/bin/python", "-m", "awslambdaric" ]
CMD [ "app.handler" ]

我的要求.txt -

mediapipe<=0.8.3.1
numpy<=1.19.4
opencv-python<=4.4.0.46
boto3<=1.17.64

我的应用程序.py

import cv2

def handler(event, context):
    return cv2.__version__

标签： python-3.xamazon-web-servicesdockeropencvaws-lambda

解决方案

我在尝试使用媒体管道容器时遇到了同样的问题，得到了同样的错误。pip 安装 python-opencv-headless 为我解决了这个问题，我不需要安装任何额外的依赖项。

FROM public.ecr.aws/lambda/python:3.8

# Copy function code
COPY app.py ${LAMBDA_TASK_ROOT}

# Install the function's dependencies using file requirements.txt
# from your project folder.

COPY requirements.txt  .
RUN  pip3 install mediapipe opencv-python-headless --target "${LAMBDA_TASK_ROOT}"

# Set the CMD to your handler (could also be done as a parameter override outside of the Dockerfile)
CMD [ "app.handler" ]

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