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如何在Linux服務(wù)器上安裝CVAT (Docker 28.5.1)

 更新時間：2025年11月06日 09:26:04   作者：AI小小怪  
本文詳細(xì)介紹了如何在Linux服務(wù)器上安裝CVAT,并確保其與Docker 28.5.1版本的兼容性,步驟包括安裝Docker、配置國內(nèi)鏡像源、安裝CVAT、啟動服務(wù)、創(chuàng)建管理員賬戶以及驗(yàn)證安裝,感興趣的朋友跟隨小編一起看看吧

基于Docker 28.5.1和CVAT的穩(wěn)定版本組合，確保最佳兼容性。

推薦穩(wěn)定版本組合

組件推薦版本說明
Docker28.5.1當(dāng)前穩(wěn)定版本
CVAT2.48.0兼容Docker 28.x
Docker Composev2.40.3Docker 28.x內(nèi)置compose

系統(tǒng)要求

  • Ubuntu 22.04/20.04 LTS
  • 至少 4GB RAM（推薦8GB+）
  • 至少 20GB 可用磁盤空間
  • 網(wǎng)絡(luò)連接（用于下載鏡像）

第一步：安裝Docker

1.1 卸載舊版本（可選）

sudo apt-get remove docker docker-engine docker.io containerd runc

1.2 更新系統(tǒng)并安裝依賴

sudo apt-get update
sudo apt-get install ca-certificates curl

1.3 創(chuàng)建密鑰目錄并添加Docker官方GPG密鑰

sudo install -m 0755 -d /etc/apt/keyrings
sudo curl -fsSL https://download.docker.com/linux/ubuntu/gpg -o /etc/apt/keyrings/docker.asc
sudo chmod a+r /etc/apt/keyrings/docker.asc

1.4 添加Docker倉庫到APT源

echo \
  "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/ubuntu \
  $(. /etc/os-release && echo "${UBUNTU_CODENAME:-$VERSION_CODENAME}") stable" | \
  sudo tee /etc/apt/sources.list.d/docker.list > /dev/null

1.5 更新包列表并安裝Docker

sudo apt-get update
sudo apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin

1.6 鎖定Docker版本防止自動升級（可選）

sudo apt-mark hold docker-ce docker-ce-cli containerd.io

第二步：配置Docker國內(nèi)鏡像源加速

2.1 配置Docker國內(nèi)鏡像源

sudo mkdir -p /etc/docker
sudo tee /etc/docker/daemon.json <<EOF
{
  "registry-mirrors": [
    "https://docker.xuanyuan.me",
    "https://docker.1ms.run",
    "https://hub.rat.dev",
    "https://docker.hpcloud.cloud",
    "https://docker.m.daocloud.io",
    "https://docker.tbedu.top/",
    "https://docker.registry.cyou",
    "https://docker-cf.registry.cyou",
    "https://dockercf.jsdelivr.fyi",
    "https://docker.jsdelivr.fyi",
    "https://dockertest.jsdelivr.fyi",
    "https://mirror.aliyuncs.com",
    "https://dockerproxy.com",
    "https://mirror.baidubce.com",
    "https://docker.nju.edu.cn",
    "https://docker.mirrors.sjtug.sjtu.edu.cn",
    "https://docker.mirrors.ustc.edu.cn",
    "https://mirror.iscas.ac.cn",
    "https://docker.rainbond.cc"
  ]
}
EOF

2.2 重啟Docker服務(wù)

sudo systemctl daemon-reload
sudo systemctl restart docker
sudo systemctl enable docker

2.3 創(chuàng)建docker用戶組并添加當(dāng)前用戶

sudo groupadd docker
sudo usermod -aG docker $USER
newgrp docker

2.4 驗(yàn)證Docker安裝

docker --version
docker compose version

應(yīng)該顯示：

Docker version 28.5.1
Docker Compose version v2.40.3

第三步：安裝CVAT

3.1 克隆CVAT 2.48.0

cd ~
git clone -b 2.48.0 https://github.com/cvat-ai/cvat
cd cvat

3.2 設(shè)置CVAT訪問地址

# 獲取本機(jī)IP地址
export CVAT_HOST=$(hostname -I | awk '{print $1}')
echo "export CVAT_HOST=$CVAT_HOST" >> ~/.bashrc
# 設(shè)置CVAT版本環(huán)境變量
echo "export CVAT_VERSION=2.48.0" >> ~/.bashrc
source ~/.bashrc
echo "CVAT將可通過 http://$CVAT_HOST:8080 訪問"

第四步：啟動CVAT服務(wù)

4.1 啟動CVAT

根據(jù)自己的需求啟動方式二選一

4.1.1 啟動預(yù)構(gòu)Docker鏡像

運(yùn)行 docker 容器。下載最新的 CVAT 需要一些時間以及其他所需的映像，如 Postgres、Redis 和 Start 容器。

docker compose up -d

如果提示超時可以多運(yùn)行幾遍，

4.1.2 本地編譯構(gòu)建

docker compose -f docker-compose.yml -f docker-compose.dev.yml build

本地構(gòu)建也可能會報關(guān)于網(wǎng)絡(luò)超時的問題，多試幾次（此處耗時較多）。

關(guān)于本地構(gòu)建需要修改的幾處代碼：

 在Dockerfile中添加國內(nèi)鏡像源配置（以下為修改后完整的Dockerfile文件，可直接復(fù)制）

ARG PIP_VERSION=24.2
ARG BASE_IMAGE=ubuntu:22.04
FROM ${BASE_IMAGE} AS build-image-base
# 配置pip國內(nèi)鏡像源
ENV PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple
ENV PIP_TRUSTED_HOST=pypi.tuna.tsinghua.edu.cn
ENV PIP_EXTRA_INDEX_URL=https://pypi.org/simple
ENV PIP_TIMEOUT=300
ENV PIP_RETRIES=10
# 完全重寫sources.list使用清華大學(xué)鏡像源
RUN echo "deb http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ jammy main restricted universe multiverse" > /etc/apt/sources.list && \
    echo "deb http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ jammy-updates main restricted universe multiverse" >> /etc/apt/sources.list && \
    echo "deb http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ jammy-backports main restricted universe multiverse" >> /etc/apt/sources.list && \
    echo "deb http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ jammy-security main restricted universe multiverse" >> /etc/apt/sources.list
# 配置apt下載優(yōu)化
RUN echo 'Acquire::Retries "5";' > /etc/apt/apt.conf.d/80-retries && \
    echo 'Acquire::http::Timeout "120";' >> /etc/apt/apt.conf.d/80-retries
RUN apt-get update && \
    DEBIAN_FRONTEND=noninteractive apt-get --no-install-recommends install -yq \
        curl \
        g++ \
        gcc \
        git \
        libgeos-dev \
        libldap2-dev \
        libsasl2-dev \
        make \
        nasm \
        pkg-config \
        python3-dev \
        python3-pip \
        libxml2-dev \
        libxmlsec1-dev \
        libxmlsec1-openssl \
        libhdf5-dev \
        cargo \
        wget \
        # 添加完整的FFmpeg開發(fā)包
        ffmpeg \
        libavcodec-dev \
        libavformat-dev \
        libavdevice-dev \
        libavutil-dev \
        libavfilter-dev \
        libswscale-dev \
        libswresample-dev \
        libpostproc-dev \
        libopenh264-dev \
        libx264-dev \
    && rm -rf /var/lib/apt/lists/*
# 配置pip使用國內(nèi)源
RUN python3 -m pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple && \
    python3 -m pip config set global.trusted-host pypi.tuna.tsinghua.edu.cn && \
    python3 -m pip config set global.timeout 300 && \
    python3 -m pip config set global.retries 10
# 配置Git使用國內(nèi)鏡像
RUN git config --global url."https://gitclone.com/github.com/".insteadOf "https://github.com/"
ARG PIP_VERSION
ENV PIP_DISABLE_PIP_VERSION_CHECK=1
RUN --mount=type=cache,target=/root/.cache/pip/http \
    python3 -m pip install -U pip==${PIP_VERSION}
# We build OpenH264, FFmpeg and PyAV in a separate build stage,
# because this way Docker can do it in parallel to all the other packages.
FROM build-image-base AS build-image-av
# 確保使用國內(nèi)鏡像源
RUN python3 -m pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple && \
    python3 -m pip config set global.trusted-host pypi.tuna.tsinghua.edu.cn && \
    python3 -m pip config set global.timeout 300 && \
    python3 -m pip config set global.retries 10
# 使用系統(tǒng)包管理器安裝視頻編解碼器
ARG PREFIX=/opt/ffmpeg
ARG PKG_CONFIG_PATH=${PREFIX}/lib/pkgconfig
ENV FFMPEG_VERSION=8.0 \
    OPENH264_VERSION=2.6.0
# 安裝完整的FFmpeg開發(fā)包
RUN apt-get update && \
    DEBIAN_FRONTEND=noninteractive apt-get --no-install-recommends install -yq \
        ffmpeg \
        libavcodec-dev \
        libavformat-dev \
        libavdevice-dev \
        libavutil-dev \
        libavfilter-dev \
        libswscale-dev \
        libswresample-dev \
        libpostproc-dev \
        libopenh264-dev \
        libx264-dev \
    && rm -rf /var/lib/apt/lists/*
# 創(chuàng)建符號鏈接到指定目錄（為了兼容原有路徑）
WORKDIR /tmp/openh264
RUN echo "使用系統(tǒng)openh264庫" && \
    mkdir -p ${PREFIX}/lib ${PREFIX}/include && \
    # 復(fù)制openh264庫文件
    cp /usr/lib/x86_64-linux-gnu/libopenh264.so* ${PREFIX}/lib/ 2>/dev/null || true && \
    cp /usr/include/openh264/* ${PREFIX}/include/ 2>/dev/null || true && \
    # 確保庫文件存在
    (test -f ${PREFIX}/lib/libopenh264.so || ln -sf /usr/lib/x86_64-linux-gnu/libopenh264.so ${PREFIX}/lib/libopenh264.so) 2>/dev/null || true
WORKDIR /tmp/ffmpeg  
RUN echo "使用系統(tǒng)ffmpeg" && \
    mkdir -p ${PREFIX}/bin ${PREFIX}/lib ${PREFIX}/include && \
    # 復(fù)制ffmpeg二進(jìn)制和庫文件
    cp /usr/bin/ffmpeg ${PREFIX}/bin/ 2>/dev/null || true && \
    cp /usr/bin/ffprobe ${PREFIX}/bin/ 2>/dev/null || true && \
    cp /usr/lib/x86_64-linux-gnu/libavcodec.so* ${PREFIX}/lib/ 2>/dev/null || true && \
    cp /usr/lib/x86_64-linux-gnu/libavformat.so* ${PREFIX}/lib/ 2>/dev/null || true && \
    cp /usr/lib/x86_64-linux-gnu/libavdevice.so* ${PREFIX}/lib/ 2>/dev/null || true && \
    cp /usr/lib/x86_64-linux-gnu/libavutil.so* ${PREFIX}/lib/ 2>/dev/null || true && \
    cp /usr/lib/x86_64-linux-gnu/libavfilter.so* ${PREFIX}/lib/ 2>/dev/null || true && \
    cp /usr/lib/x86_64-linux-gnu/libswscale.so* ${PREFIX}/lib/ 2>/dev/null || true && \
    cp /usr/lib/x86_64-linux-gnu/libswresample.so* ${PREFIX}/lib/ 2>/dev/null || true && \
    cp /usr/lib/x86_64-linux-gnu/libpostproc.so* ${PREFIX}/lib/ 2>/dev/null || true && \
    # 復(fù)制頭文件
    cp -r /usr/include/x86_64-linux-gnu/libav* ${PREFIX}/include/ 2>/dev/null || true && \
    cp -r /usr/include/x86_64-linux-gnu/libsw* ${PREFIX}/include/ 2>/dev/null || true && \
    # 創(chuàng)建pkg-config文件目錄
    mkdir -p ${PREFIX}/lib/pkgconfig && \
    # 復(fù)制pkg-config文件
    cp /usr/lib/x86_64-linux-gnu/pkgconfig/libav*.pc ${PREFIX}/lib/pkgconfig/ 2>/dev/null || true && \
    cp /usr/lib/x86_64-linux-gnu/pkgconfig/libsw*.pc ${PREFIX}/lib/pkgconfig/ 2>/dev/null || true
# 設(shè)置pkg-config路徑
ENV PKG_CONFIG_PATH=${PREFIX}/lib/pkgconfig:${PKG_CONFIG_PATH}
COPY utils/dataset_manifest/requirements.txt /tmp/utils/dataset_manifest/requirements.txt
# Since we're using pip-compile-multi, each dependency can only be listed in
# one requirements file. In the case of PyAV, that should be
# `dataset_manifest/requirements.txt`. Make sure it's actually there,
# and then remove everything else.
RUN grep -q '^av==' /tmp/utils/dataset_manifest/requirements.txt
# 修改PyAV版本為兼容系統(tǒng)FFmpeg的版本
RUN sed -i 's/^av==15.1.0/av==12.0.0/' /tmp/utils/dataset_manifest/requirements.txt
RUN sed -i '/^av==/!d' /tmp/utils/dataset_manifest/requirements.txt
RUN --mount=type=cache,target=/root/.cache/pip/http-v2 \
    python3 -m pip wheel --no-binary=av \
    -r /tmp/utils/dataset_manifest/requirements.txt \
    -w /tmp/wheelhouse
# This stage builds wheels for all dependencies (except PyAV)
FROM build-image-base AS build-image
# 確保build-image階段也使用國內(nèi)源 - 使用阿里云鏡像
RUN python3 -m pip config set global.index-url https://mirrors.aliyun.com/pypi/simple/ && \
    python3 -m pip config set global.trusted-host mirrors.aliyun.com && \
    python3 -m pip config set global.timeout 600 && \
    python3 -m pip config set global.retries 15
COPY cvat/requirements/ /tmp/cvat/requirements/
COPY utils/dataset_manifest/requirements.txt /tmp/utils/dataset_manifest/requirements.txt
# Exclude av from the requirements file
RUN sed -i '/^av==/d' /tmp/utils/dataset_manifest/requirements.txt
# 更新所有文件中的numpy版本以解決依賴沖突
RUN sed -i 's/^numpy==.*/numpy==1.24.3/' /tmp/cvat/requirements/production.txt && \
    sed -i 's/^numpy==.*/numpy==1.24.3/' /tmp/cvat/requirements/base.txt 2>/dev/null || true && \
    sed -i 's/^numpy==.*/numpy==1.24.3/' /tmp/utils/dataset_manifest/requirements.txt
# 修正PyYAML版本沖突
RUN sed -i 's/^PyYAML==6.0.3/PyYAML==6.0.2/' /tmp/cvat/requirements/base.txt && \
    sed -i 's/^PyYAML==6.0.3/PyYAML==6.0.2/' /tmp/cvat/requirements/production.txt
ARG CVAT_CONFIGURATION="production"
RUN --mount=type=cache,target=/root/.cache/pip/http-v2 \
    DATUMARO_HEADLESS=1 python3 -m pip wheel --no-deps --no-binary lxml,xmlsec \
    -r /tmp/cvat/requirements/${CVAT_CONFIGURATION}.txt \
    -w /tmp/wheelhouse
FROM golang:1.24.4 AS build-smokescreen
# 使用國內(nèi)鏡像下載smokescreen
RUN git clone --filter=blob:none --no-checkout https://gitclone.com/github.com/stripe/smokescreen.git
RUN cd smokescreen && git checkout master && go build -o /tmp/smokescreen
FROM ${BASE_IMAGE}
ARG http_proxy
ARG https_proxy
ARG no_proxy
ARG socks_proxy
ARG TZ="Etc/UTC"
ENV TERM=xterm \
    http_proxy=${http_proxy}   \
    https_proxy=${https_proxy} \
    no_proxy=${no_proxy} \
    socks_proxy=${socks_proxy} \
    LANG='C.UTF-8'  \
    LC_ALL='C.UTF-8' \
    TZ=${TZ}
# 配置pip國內(nèi)鏡像源（最終鏡像）- 添加阿里云源
ENV PIP_INDEX_URL=https://mirrors.aliyun.com/pypi/simple/
ENV PIP_TRUSTED_HOST=mirrors.aliyun.com
ENV PIP_EXTRA_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple
ENV PIP_TIMEOUT=600
ENV PIP_RETRIES=15
ARG USER="django"
ARG CVAT_CONFIGURATION="production"
ENV DJANGO_SETTINGS_MODULE="cvat.settings.${CVAT_CONFIGURATION}"
# Install necessary apt packages
RUN apt-get update && \
    DEBIAN_FRONTEND=noninteractive apt-get --no-install-recommends install -yq \
        bzip2 \
        ca-certificates \
        curl \
        git \
        libgeos-c1v5 \
        libgl1 \
        libgomp1 \
        libldap-2.5-0 \
        libpython3.10 \
        libsasl2-2 \
        libxml2 \
        libxmlsec1 \
        libxmlsec1-openssl \
        nginx \
        p7zip-full \
        poppler-utils \
        python3 \
        python3-venv \
        supervisor \
        tzdata \
        unrar \
        wait-for-it \
        # 安裝運(yùn)行時視頻編解碼器庫
        ffmpeg \
        libavcodec58 \
        libavformat58 \
        libavdevice58 \
        libavutil56 \
        libavfilter7 \
        libswscale5 \
        libswresample3 \
        libpostproc55 \
    && ln -fs /usr/share/zoneinfo/${TZ} /etc/localtime && \
    dpkg-reconfigure -f noninteractive tzdata && \
    rm -rf /var/lib/apt/lists/* && \
    echo 'application/wasm wasm' >> /etc/mime.types
# Install smokescreen
COPY --from=build-smokescreen /tmp/smokescreen /usr/local/bin/smokescreen
# Add a non-root user
ENV USER=${USER}
ENV HOME /home/${USER}
RUN adduser --uid=1000 --shell /bin/bash --disabled-password --gecos "" ${USER}
ARG CLAM_AV="no"
RUN if [ "$CLAM_AV" = "yes" ]; then \
        apt-get update && \
        apt-get --no-install-recommends install -yq \
            clamav \
            libclamunrar9 && \
        sed -i 's/ReceiveTimeout 30/ReceiveTimeout 300/g' /etc/clamav/freshclam.conf && \
        freshclam && \
        chown -R ${USER}:${USER} /var/lib/clamav && \
        rm -rf /var/lib/apt/lists/*; \
    fi
# Install wheels from the build image
RUN python3 -m venv /opt/venv
ENV PATH="/opt/venv/bin:${PATH}"
# 配置虛擬環(huán)境中的pip使用國內(nèi)源
RUN /opt/venv/bin/python3 -m pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple && \
    /opt/venv/bin/python3 -m pip config set global.trusted-host pypi.tuna.tsinghua.edu.cn && \
    /opt/venv/bin/python3 -m pip config set global.timeout 300 && \
    /opt/venv/bin/python3 -m pip config set global.retries 10
# Prevent security scanners from finding vulnerabilities in whatever version of setuptools
# is included in Ubuntu by default.
RUN python -m pip uninstall -y setuptools
ARG PIP_VERSION
ARG PIP_DISABLE_PIP_VERSION_CHECK=1
RUN python -m pip install -U pip==${PIP_VERSION}
RUN --mount=type=bind,from=build-image,source=/tmp/wheelhouse,target=/mnt/wheelhouse \
    --mount=type=bind,from=build-image-av,source=/tmp/wheelhouse,target=/mnt/wheelhouse-av \
    python -m pip install --no-index /mnt/wheelhouse/*.whl /mnt/wheelhouse-av/*.whl
ENV NUMPROCS=1
COPY --from=build-image-av /opt/ffmpeg/lib /usr/lib
# These variables are required for supervisord substitutions in files
# This library allows remote python debugging with VS Code
ARG CVAT_DEBUG_ENABLED
RUN if [ "${CVAT_DEBUG_ENABLED}" = 'yes' ]; then \
        python3 -m pip install --no-cache-dir debugpy; \
    fi
# Removing pip due to security reasons. See: https://scout.docker.com/vulnerabilities/id/CVE-2018-20225
# The vulnerability is dubious and we don't use pip at runtime, but some vulnerability scanners mark it as a high vulnerability,
# and it was decided to remove pip from the final image
RUN python -m pip uninstall -y pip
# Install and initialize CVAT, copy all necessary files
COPY cvat/nginx.conf /etc/nginx/nginx.conf
COPY --chown=${USER} supervisord/ ${HOME}/supervisord
COPY --chown=${USER} backend_entrypoint.d/ ${HOME}/backend_entrypoint.d
COPY --chown=${USER} manage.py rqscheduler.py backend_entrypoint.sh wait_for_deps.sh ${HOME}/
COPY --chown=${USER} utils/ ${HOME}/utils
COPY --chown=${USER} cvat/ ${HOME}/cvat
COPY --chown=${USER} components/analytics/clickhouse/init.py ${HOME}/components/analytics/clickhouse/init.py
ARG COVERAGE_PROCESS_START
RUN if [ "${COVERAGE_PROCESS_START}" ]; then \
        echo "import coverage; coverage.process_startup()" > /opt/venv/lib/python3.10/site-packages/coverage_subprocess.pth; \
    fi
# RUN all commands below as 'django' user.
# Use numeric UID/GID so that the image is compatible with the Kubernetes runAsNonRoot setting.
USER 1000:1000
WORKDIR ${HOME}
RUN mkdir -p data share keys logs /tmp/supervisord static
EXPOSE 8080
ENTRYPOINT ["./backend_entrypoint.sh"]

修改./cvat/requirements/base.txt

# 完全移除版本限制，讓pip選擇兼容版本
sed -i 's/==/>=/g' cvat/requirements/base.txt

清理緩存

# 如果遇到損壞的包或者不匹配的包需要清理緩存，重新構(gòu)建
docker builder prune -f
# 也可以使用docker build直接構(gòu)建特定階段
docker build \
    --target build-image \
    --no-cache \
    -t cvat_server_build_image \
    -f Dockerfile .
# 然后繼續(xù)使用compose構(gòu)建
docker compose -f docker-compose.yml -f docker-compose.dev.yml build cvat_server

4.2 監(jiān)控啟動過程

# 實(shí)時查看啟動日志（可選）
docker compose logs -f &
# 等待服務(wù)完全啟動（重要?。?
echo "等待CVAT服務(wù)啟動，這可能需要3-5分鐘..."
sleep 180

4.3 檢查所有服務(wù)狀態(tài)

docker compose ps

預(yù)期正常狀態(tài)：

NAME                SERVICE             STATUS              PORTS
cvat_db             cvat_db             Running             
cvat_redis          cvat_redis          Running             
cvat_server         cvat_server         Running             8080/tcp
cvat_ui             cvat_ui             Running             80/tcp
... 所有服務(wù)都是Running狀態(tài)

4.4 如果服務(wù)異常的處理

# 如果服務(wù)沒有正常啟動，執(zhí)行清理重啟
docker compose down
docker system prune -f
docker volume prune -f
# 重新啟動
docker compose up -d
sleep 180
docker compose ps

第五步：創(chuàng)建管理員賬戶

5.1 等待數(shù)據(jù)庫完全就緒

# 檢查數(shù)據(jù)庫狀態(tài)
until docker logs cvat_db 2>&1 | grep -q "database system is ready to accept connections"; do
  echo "等待數(shù)據(jù)庫啟動..."
  sleep 10
done
echo "數(shù)據(jù)庫已就緒"

5.2 創(chuàng)建超級用戶

# 方法1：直接創(chuàng)建
docker exec -it cvat_server bash -ic 'python3 ~/manage.py createsuperuser'
# 方法2：如果方法1失敗，先進(jìn)入容器再創(chuàng)建
docker exec -it cvat_server bash
# 在容器內(nèi)執(zhí)行：
python3 ~/manage.py createsuperuser
# 創(chuàng)建完成后輸入 exit 退出容器

按照提示輸入管理員信息：

用戶名: admin
電子郵件: admin@example.com
密碼: ******** (建議使用強(qiáng)密碼)
密碼確認(rèn): ********
Superuser created successfully.

第六步：驗(yàn)證安裝和訪問

6.1 最終狀態(tài)檢查

# 檢查所有服務(wù)狀態(tài)
docker compose ps
# 檢查CVAT服務(wù)日志
docker logs cvat_server | tail -10
# 獲取最終訪問信息
echo "==========================================="
echo "CVAT安裝完成！"
echo "訪問地址: http://$CVAT_HOST:8080"
echo "管理員用戶名: admin"
echo "使用您設(shè)置的密碼登錄"
echo "==========================================="

6.2 瀏覽器訪問測試

在瀏覽器中訪問 http://您的服務(wù)器IP:8080：

  • 使用 admin 和您設(shè)置的密碼登錄
  • 確認(rèn)可以正常進(jìn)入CVAT界面
  • 嘗試創(chuàng)建一個測試任務(wù)驗(yàn)證功能正常

訪問方式詳解

7.1 局域網(wǎng)內(nèi)直接訪問

http://服務(wù)器IP:8080

示例：如果服務(wù)器IP是 192.168.1.100，則訪問 http://192.168.1.100:8080

7.2 外部網(wǎng)絡(luò)訪問（SSH隧道）

# 在您的筆記本電腦上執(zhí)行
ssh -L 8080:localhost:8080 用戶名@服務(wù)器IP -N
# 后臺運(yùn)行版本
ssh -L 8080:localhost:8080 用戶名@服務(wù)器IP -N -f
# 然后瀏覽器訪問
# http://localhost:8080

7.3 瀏覽器要求

  • ? Google Chrome (90+，推薦)
  • ? Microsoft Edge (90+)
  • ? Brave (基于Chromium)
  • ?? Firefox (可能部分功能不兼容)
  • ? Safari (不推薦)

維護(hù)和管理命令

8.1 日常管理

# 停止CVAT服務(wù)
cd ~/cvat && docker compose down
# 啟動CVAT服務(wù)  
cd ~/cvat && docker compose up -d
# 查看服務(wù)狀態(tài)
cd ~/cvat && docker compose ps
# 查看服務(wù)日志
cd ~/cvat && docker compose logs

8.2 數(shù)據(jù)備份

# 備份數(shù)據(jù)庫
docker exec cvat_db pg_dump -U root cvat > cvat_backup_$(date +%Y%m%d).sql
# 備份上傳的文件
tar -czf cvat_data_backup_$(date +%Y%m%d).tar.gz ~/cvat/data

8.3 問題診斷

# 查看詳細(xì)服務(wù)狀態(tài)
docker compose ps -a
# 查看特定服務(wù)日志
docker compose logs cvat_server
docker compose logs cvat_db
# 檢查資源使用
docker system df
docker stats

故障排除指南

9.1 端口沖突

# 檢查端口占用
sudo netstat -tulpn | grep 8080
# 修改CVAT端口
# 編輯 docker-compose.override.yml 修改端口映射

9.2 磁盤空間不足

# 清理Docker資源
docker system prune -a -f
docker volume prune -f
# 檢查空間使用
df -h
docker system df

9.3 服務(wù)啟動失敗

# 查看詳細(xì)錯誤
docker compose logs cvat_server
docker compose logs cvat_db
# 完全重置
cd ~/cvat
docker compose down -v
docker system prune -a -f
CVAT_VERSION=2.12.0 docker compose up -d

重要提醒

  • 不要隨意升級：避免單獨(dú)升級某個組件導(dǎo)致兼容性問題
  • 定期備份：重要標(biāo)注數(shù)據(jù)定期備份到安全位置
  • 監(jiān)控資源：關(guān)注磁盤空間，CVAT運(yùn)行會占用較多資源
  • 安全考慮：生產(chǎn)環(huán)境建議配置防火墻和HTTPS

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