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<section id="id1">
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<h1>环境安装<a class="headerlink" href="#id1" title="此标题的永久链接"></a></h1>
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<section id="mindspore-radar">
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<h2>安装MindSpore Radar 与依赖软件<a class="headerlink" href="#mindspore-radar" title="此标题的永久链接"></a></h2>
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<table class="docutils align-default">
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<thead>
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<tr class="row-odd"><th class="head"><p>软件名称</p></th>
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<th class="head"><p>版本</p></th>
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<th class="head"><p>作用</p></th>
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</tr>
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</thead>
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<tbody>
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<tr class="row-even"><td><p>Windows</p></td>
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<td><p>7/10/11</p></td>
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<td><p>编译和运行MindSpore的操作系统</p></td>
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</tr>
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<tr class="row-odd"><td><p><a class="reference internal" href="#install-python"><span class="std std-ref">Python</span></a></p></td>
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<td><p>3.8</p></td>
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<td><p>MindSpore的使用依赖Python环境</p></td>
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</tr>
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<tr class="row-even"><td><p><a class="reference internal" href="#install-mindspore"><span class="std std-ref">MindSpore</span></a></p></td>
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<td><p>2.3.1</p></td>
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<td><p>MindRadar依赖的底层框架</p></td>
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</tr>
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<tr class="row-odd"><td><p><a class="reference internal" href="#install-mindradar"><span class="std std-ref">MindRadar</span></a></p></td>
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<td><p>0.0.0</p></td>
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<td><p>数字信号处理套件</p></td>
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</tr>
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<tr class="row-even"><td><p><a class="reference internal" href="#toolchain"><span class="std std-ref">arm-linux-gnueabihf</span></a></p></td>
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<td><p>7.5.0</p></td>
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<td><p>用于编译MindSpore Signal+ C++ 应用的编译器</p></td>
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</tr>
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<tr class="row-odd"><td><p><a class="reference internal" href="#install-yhft-ide"><span class="std std-ref">YHFT-IDE</span></a></p></td>
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<td><p>0.0.1</p></td>
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<td><p>集成开发环境</p></td>
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</tr>
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<tr class="row-even"><td><p><a class="reference internal" href="#install-cmake"><span class="std std-ref">CMake</span></a></p></td>
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<td><p>3.30.5</p></td>
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<td><p>强大的软件构建系统</p></td>
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</tr>
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<tr class="row-odd"><td><p><a class="reference internal" href="#install-netron"><span class="std std-ref">Netron</span></a></p></td>
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<td><p>6.2.0</p></td>
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<td><p>模型可视化工具</p></td>
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</tr>
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</tbody>
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</table>
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<p>上述所有软件包可以通过在线链接提取：<a class="reference external" href="https://">软件资源包</a></p>
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<section id="python">
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<span id="install-python"></span><h3>安装Python<a class="headerlink" href="#python" title="此标题的永久链接"></a></h3>
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<p>本文提供两种不同的安装方式,自行选择合适的方式安装。</p>
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<section id="id2">
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<h4>1.安装包方式安装<a class="headerlink" href="#id2" title="此标题的永久链接"></a></h4>
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<section id="id3">
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<h5>1.1 下载安装包<a class="headerlink" href="#id3" title="此标题的永久链接"></a></h5>
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<p>根据机器的操作系统版本，在官网下载32位或64位windows版本的python3.8安装包：</p>
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<p>64位：<a class="reference external" href="https://www.python.org/ftp/python/3.8.10/python-3.8.10-amd64.exe">https://www.python.org/ftp/python/3.8.10/python-3.8.10-amd64.exe</a></p>
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<p>32位：<a class="reference external" href="https://www.python.org/ftp/python/3.8.10/python-3.8.10.exe">https://www.python.org/ftp/python/3.8.10/python-3.8.10.exe</a></p>
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</section>
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<section id="id4">
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<h5>1.2 开始安装<a class="headerlink" href="#id4" title="此标题的永久链接"></a></h5>
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<p>双击打开python安装包，选择Customize installation方式安装，并勾选<code class="docutils literal notranslate"><span class="pre">Add</span> <span class="pre">python3.8</span> <span class="pre">to</span> <span class="pre">PATH</span></code>。如下图：</p>
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<img src="../_static/python_install_step1.png" alt="python_install_step1" width="auto"/>
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<p>接着按默认选项点击下一步，可以根据需求选择安装路径，以及是否安装给所有用户。如下图：</p>
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<img src="../_static/python_install_step2.png" alt="python_install_step2" width="auto"/>
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<p>安装成功界面如下：</p>
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<img src="../_static/python_install_success.png" alt="python_install_success" width="auto"/>
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</section>
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<section id="id5">
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<h5>1.3 验证安装<a class="headerlink" href="#id5" title="此标题的永久链接"></a></h5>
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<p>可以在cmd命令窗口通过以下命令查看Python版本。</p>
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<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>--version
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</pre></div>
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</div>
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</section>
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</section>
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<section id="conda">
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<h4>2.Conda方式安装<a class="headerlink" href="#conda" title="此标题的永久链接"></a></h4>
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<p><a class="reference external" href="https://docs.conda.io/en/latest/">Conda</a>是一个开源跨平台语言无关的包管理与环境管理系统，允许用户方便地安装不同版本的二进制软件包，以及该计算平台需要的所有库。</p>
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<ul class="simple">
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<li><p>确认安装Windows是x86架构64位操作系统。</p></li>
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<li><p>确认安装与当前系统兼容的Conda版本。</p>
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<ul>
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<li><p>如果您喜欢Conda提供的完整能力，可以选择下载<a class="reference external" href="https://repo.anaconda.com/archive/">Anaconda3</a>。</p></li>
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<li><p>如果您需要节省磁盘空间，或者喜欢自定义安装Conda软件包，可以选择下载<a class="reference external" href="https://repo.anaconda.com/miniconda/">Miniconda3</a>。</p></li>
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</ul>
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</li>
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</ul>
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<section id="id6">
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<h5>创建并进入Conda虚拟环境<a class="headerlink" href="#id6" title="此标题的永久链接"></a></h5>
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<p>在Windows上使用Anaconda，请通过<code class="docutils literal notranslate"><span class="pre">开始</span> <span class="pre">|</span> <span class="pre">Anaconda3</span> <span class="pre">|</span> <span class="pre">Anaconda</span> <span class="pre">Promt</span></code>打开Anaconda命令行。</p>
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<p>根据您希望使用的Python版本，创建对应的Conda虚拟环境，并进入虚拟环境。
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如果您希望使用Python3.8.10版本：</p>
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<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>conda<span class="w"> </span>create<span class="w"> </span>-c<span class="w"> </span>conda-forge<span class="w"> </span>-n<span class="w"> </span>mindspore_py38<span class="w"> </span>-c<span class="w"> </span>conda-forge<span class="w"> </span><span class="nv">python</span><span class="o">=</span><span class="m">3</span>.8.10
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conda<span class="w"> </span>activate<span class="w"> </span>mindspore_py38
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</pre></div>
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</div>
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</section>
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</section>
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</section>
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<section id="mindspore">
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<span id="install-mindspore"></span><h3>安装MindSpore<a class="headerlink" href="#mindspore" title="此标题的永久链接"></a></h3>
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<p>通过<code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">mindspore-xxx-win_amd64.whl</span></code>命令安装MindSpore。验证是否成功安装，执行以下命令：</p>
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<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>-c<span class="w"> </span><span class="s2">"import mindspore;mindspore.set_context(device_target='CPU');mindspore.run_check()"</span>
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</pre></div>
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</div>
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<p>如果输出：</p>
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<div class="highlight-text notranslate"><div class="highlight"><pre><span></span>MindSpore version: 版本号
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The result of multiplication calculation is correct, MindSpore has been installed on platform [CPU] successfully!
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</pre></div>
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</div>
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<p>说明MindSpore安装成功了。</p>
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<div class="admonition note">
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<p class="admonition-title">备注</p>
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<p>在安装mindspore过程中会自动下载依赖库，如果下载失败，可以尝试手动安装依赖库。提供的软件资源包中包含了依赖库，进入<code class="docutils literal notranslate"><span class="pre">third-party</span></code>文件夹，通过<code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">-r</span> <span class="pre">requirements.txt</span></code>命令批量安装所有的依赖包。</p>
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</div>
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</section>
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<section id="mindradar">
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<span id="install-mindradar"></span><h3>安装MindRadar<a class="headerlink" href="#mindradar" title="此标题的永久链接"></a></h3>
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<p>通过<code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">mindradar-xxx-py3-none-any.whl</span></code>命令安装MindRadar。验证是否成功安装，执行以下命令：</p>
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<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>-c<span class="w"> </span><span class="s2">"import mindspore;import mindradar;from mindradar import ComplexAbs;"</span>
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</pre></div>
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</div>
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<p>如果没有报错，说明MindRadar安装成功了。</p>
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</section>
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<section id="toolchain">
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<span id="id7"></span><h3>配置交叉编译工具链<a class="headerlink" href="#toolchain" title="此标题的永久链接"></a></h3>
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<p>官网下载windows版本的交叉编译工具：
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<a class="reference external" href="https://releases.linaro.org/components/toolchain/binaries/7.5-2019.12/arm-linux-gnueabihf/gcc-linaro-7.5.0-2019.12-i686-mingw32_arm-linux-gnueabihf.tar.xz">https://releases.linaro.org/components/toolchain/binaries/7.5-2019.12/arm-linux-gnueabihf/gcc-linaro-7.5.0-2019.12-i686-mingw32_arm-linux-gnueabihf.tar.xz</a></p>
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<p>将下载好的交叉编译工具包解压到一个全英文的文件夹即可，后续编译MindSpore Signal+ C++ 应用时需要填写交叉编译工具包的绝对路径。</p>
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</section>
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<section id="yhft-ide">
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<span id="install-yhft-ide"></span><h3>安装YHFT-IDE<a class="headerlink" href="#yhft-ide" title="此标题的永久链接"></a></h3>
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<p>找到软件安装包，双击打开安装，同意条款；选择安装目录，点击下一步：</p>
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<img src="../_static/yhft-ide_install.png" alt="yhft-ide_install" width="auto"/>
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<p>然后一直按默认选项点下一步，直到点击安装。安装完成如下：</p>
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<img src="../_static/yhft-ide_install_success.png" alt="yhft-ide_install_success" width="auto"/>
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</section>
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<section id="cmake">
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<span id="install-cmake"></span><h3>安装CMake<a class="headerlink" href="#cmake" title="此标题的永久链接"></a></h3>
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<p>CMake官网选择合适版本下载CMake安装包:<a class="reference external" href="https://cmake.org/download/">https://cmake.org/download/</a></p>
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<p>双击打开安装包，会弹出如下界面，点击<code class="docutils literal notranslate"><span class="pre">Next</span></code>，进入下一步：</p>
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<img src="../_static/cmake_install_step1.png" alt="cmake_install_step1" width="auto"/>
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<p>同意CMake的条款，点<code class="docutils literal notranslate"><span class="pre">Next</span></code>按钮，进入下一步；</p>
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<p>选中<code class="docutils literal notranslate"><span class="pre">Add</span> <span class="pre">CMake</span> <span class="pre">to</span> <span class="pre">the</span> <span class="pre">system</span> <span class="pre">PATH</span> <span class="pre">for</span> <span class="pre">the</span> <span class="pre">current</span> <span class="pre">user</span></code>，点击<code class="docutils literal notranslate"><span class="pre">Next</span></code>按钮：</p>
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<img src="../_static/cmake_install_step2.png" alt="cmake_install_step2" width="auto"/>
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<p>选择安装目录：</p>
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<img src="../_static/cmake_install_step3.png" alt="cmake_install_step3" width="auto"/>
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<p>点击<code class="docutils literal notranslate"><span class="pre">install</span></code>安装CMake，安装完成后点击<code class="docutils literal notranslate"><span class="pre">Finish</span></code>按钮。</p>
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<img src="../_static/cmake_install_success.png" alt="cmake_install_step3" width="auto"/>
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</section>
|
||
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