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            <h1 id="seo-header">基于PaddleOCR的PDF转WORD</h1>
            
            
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                <p><a target="_blank" rel="noopener" href="https://github.com/PaddlePaddle/PaddleOCR">PP-Structure</a>是PaddleOCR团队自研的智能文档分析系统，旨在帮助开发者更好的完成版面分析、表格识别等文档理解相关任务。</p>
<p>PP-Structurev2的主要特性如下：</p>
<ul>
<li>支持对图片&#x2F;pdf形式的文档进行版面分析，可以划分<strong>文字、标题、表格、图片、公式等</strong>区域；</li>
<li>支持通用的中英文<strong>表格检测</strong>任务；</li>
<li>支持表格区域进行结构化识别，最终结果输出<strong>Excel文件</strong>；</li>
<li>支持基于多模态的关键信息抽取(Key Information Extraction，KIE)任务-<strong>语义实体识别</strong>(Semantic Entity Recognition，SER)和<strong>关系抽取</strong>(Relation Extraction，RE)；</li>
<li>支持<strong>版面复原</strong>，即恢复为与原始图像布局一致的word或者pdf格式的文件；</li>
<li>支持自定义训练及python whl包调用等多种推理部署方式，简单易用；</li>
<li>与半自动数据标注工具PPOCRLabel打通，支持版面分析、表格识别、SER三种任务的标注。</li>
</ul>
<h2 id="安装下载工具"><a href="#安装下载工具" class="headerlink" title="安装下载工具"></a>安装下载工具</h2><ul>
<li><a target="_blank" rel="noopener" href="https://occdn.limour.top/2561.html">文件加速代下载服务</a>，<a target="_blank" rel="noopener" href="https://ghproxy.com/">GitHub Proxy</a></li>
<li>安装<a target="_blank" rel="noopener" href="https://github.com/aria2/aria2/releases">aria2</a>，并添加到环境变量Path，</li>
<li>安装 Aria2 Explorer <a target="_blank" rel="noopener" href="https://chrome.google.com/webstore/detail/aria2-explorer/mpkodccbngfoacfalldjimigbofkhgjn">chrome浏览器拓展</a></li>
<li>可以 aria2c –enable-rpc 配合 Aria2 Explorer 进行下载</li>
</ul>
<h2 id="安装conda"><a href="#安装conda" class="headerlink" title="安装conda"></a>安装conda</h2><ul>
<li>下载miniconda：<a target="_blank" rel="noopener" href="https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/">清华镜像</a></li>
<li>conda config –set show_channel_urls yes</li>
<li>notepad.exe $env:HOMEPATH.condarc 确保是 <a target="_blank" rel="noopener" href="https://mirrors.tuna.tsinghua.edu.cn/help/anaconda/">清华镜像</a></li>
</ul>
<h2 id="安装cuda"><a href="#安装cuda" class="headerlink" title="安装cuda"></a>安装cuda</h2><ul>
<li>下载或更新最新的 <a target="_blank" rel="noopener" href="https://www.nvidia.cn/geforce/geforce-experience/download/">GEFORCE EXPERIENCE</a></li>
<li>桌面右键打开英伟达控制面板，点击帮助-&gt;系统信息-&gt;组件-&gt;NVCUDA.DLL 获取cuda版本</li>
<li>下面的步骤可能不需要，因为conda可以自动安装，只是记录一下</li>
<li>查看<a target="_blank" rel="noopener" href="https://zhuanlan.zhihu.com/p/94220564?utm_source=wechat_session&ivk_sa=1024320u">cuda</a>版本：nvcc –version</li>
<li><a target="_blank" rel="noopener" href="https://developer.nvidia.com/cuda-downloads?target_os=Windows&target_arch=x86_64&target_version=11&target_type=exe_local">CUDA Toolkit</a>，cuda安装时取消除cuda外的其他选项，并检查环境变量Path里是否有相应的路径</li>
<li><a target="_blank" rel="noopener" href="https://developer.nvidia.com/rdp/cudnn-download">NVIDIA Developer Program</a>，下载cuDNN，解压cuDNN压缩包，可以看到bin、include、lib目录，将其拖拽到cuda目录下的相应版本的根目录，覆盖相应的bin、include、lib目录</li>
<li>cd $env:CUDA_PATH\extras\demo_suite 执行 .\bandwidthTest.exe</li>
</ul>
<p><img src="https://img-cdn.limour.top/blog_wp/2021/12/image-1.png" srcset="https://jscdn.limour.top/gh/Limour-dev/Sakurairo_Vision/load_svg/inload.svg" lazyload></p>
<h2 id="安装-PaddleOCR"><a href="#安装-PaddleOCR" class="headerlink" title="安装**PaddleOCR**"></a>安装**<a target="_blank" rel="noopener" href="https://github.com/PaddlePaddle/PaddleOCR">PaddleOCR</a>**</h2><ul>
<li>conda create -n PP -c conda-forge python&#x3D;3.8</li>
<li>conda activate PP</li>
<li>conda info –env</li>
<li>（二选一 GPU）conda install paddlepaddle-gpu&#x3D;&#x3D;2.4.2 cudatoolkit&#x3D;11.6 -c <a target="_blank" rel="noopener" href="https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/">https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/</a> -c conda-forge</li>
<li>（二选一 CPU）python -m pip install paddlepaddle -i <a target="_blank" rel="noopener" href="https://mirror.baidu.com/pypi/simple">https://mirror.baidu.com/pypi/simple</a></li>
<li>使用 <code>python</code> 进入 python 解释器，输入<code>import paddle</code> ，再输入<code>paddle.utils.run_check()</code></li>
<li>python -m pip install “paddleocr&gt;&#x3D;2.6” -i <a target="_blank" rel="noopener" href="https://mirror.baidu.com/pypi/simple">https://mirror.baidu.com/pypi/simple</a></li>
<li>Invoke-WebRequest -Uri “<a target="_blank" rel="noopener" href="https://ghproxy.com/https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.6/ppstructure/recovery/requirements.txt">https://ghproxy.com/https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.6/ppstructure/recovery/requirements.txt</a>“ -OutFile “requirements.txt”</li>
<li>python -m pip install -r requirements.txt -i <a target="_blank" rel="noopener" href="https://mirror.baidu.com/pypi/simple">https://mirror.baidu.com/pypi/simple</a></li>
<li>python -m pip install “PyMuPDF&#x3D;&#x3D;1.18.7” -i <a target="_blank" rel="noopener" href="https://mirror.baidu.com/pypi/simple">https://mirror.baidu.com/pypi/simple</a> （解决<a target="_blank" rel="noopener" href="https://github.com/pymupdf/PyMuPDF/issues/877">Issue#877</a>）</li>
</ul>
<h2 id="PDF转WORD"><a href="#PDF转WORD" class="headerlink" title="PDF转WORD"></a>PDF转WORD</h2><ul>
<li>准备一份没有嵌字，纯扫描件的UnrealText.pdf</li>
<li>paddleocr –image_dir&#x3D;UnrealText.pdf –type&#x3D;structure –recovery&#x3D;true</li>
<li>效果比直接用Acrobat好一点</li>
<li>如果是简短的一段文字，还是直接用<a target="_blank" rel="noopener" href="https://github.com/hiroi-sora/Umi-OCR/releases">Umi-OCR</a>识别图片方便一点（基于PaddleOCR）</li>
<li>等Microsoft 365 Copilot正式出来后，对paddleocr重建的docx进行智能纠错和格式美化应该效果会好一点。</li>
</ul>

                
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