docs: update Ubuntu CUDA acceleration guide for version 0.6.2- Add steps for Ubuntu 22.04 LTS installation.

- Detail the process of checking, installing, and configuring NVIDIA drivers.
- Include instructions for installing Anaconda and creating a specific environment.
- Provide guidance on installing magic-pdf and its dependencies.
- Add a note to verify magic-pdf version and report issues if necessary.
- Describe the process of downloading models and configuring the application.
- Include a sample command to run the application with CUDA acceleration.
- Add a note for enabling OCR CUDA acceleration with specific GPU requirements.

This update ensures users have the latest information for setting up CUDA accelerationwith magic-pdf on Ubuntu 22.04 LTS, specifically for version 0.6.2, and provides clearer
instructions on the installation and configuration process.

docs/README_Ubuntu_CUDA_Acceleration_zh_CN.md

@@ -0,0 +1,111 @@
+# Ubuntu 22.04 LTS
+
+## 1. 更新apt 
+```bash
+sudo apt-get update
+```
+## 2. 检测是否已安装nvidia驱动
+```bash
+nvidia-smi 
+```
+如果看到类似如下的信息，说明已经安装了nvidia驱动，可以跳过步骤3
+```
++---------------------------------------------------------------------------------------+
+| NVIDIA-SMI 537.34                 Driver Version: 537.34       CUDA Version: 12.2     |
+|-----------------------------------------+----------------------+----------------------+
+| GPU  Name                     TCC/WDDM  | Bus-Id        Disp.A | Volatile Uncorr. ECC |
+| Fan  Temp   Perf          Pwr:Usage/Cap |         Memory-Usage | GPU-Util  Compute M. |
+|                                         |                      |               MIG M. |
+|=========================================+======================+======================|
+|   0  NVIDIA GeForce RTX 3060 Ti   WDDM  | 00000000:01:00.0  On |                  N/A |
+|  0%   51C    P8              12W / 200W |   1489MiB /  8192MiB |      5%      Default |
+|                                         |                      |                  N/A |
++-----------------------------------------+----------------------+----------------------+
+```
+## 3. 安装驱动
+如没有驱动，则通过如下命令
+```bash
+sudo apt-get install nvidia-driver-545
+```
+安装专有驱动，安装完成后，重启电脑
+```bash
+reboot
+```
+## 4. 安装anacoda
+如果已安装conda，可以跳过本步骤
+```bash
+wget https://repo.anaconda.com/archive/Anaconda3-2024.06-1-Linux-x86_64.sh
+bash Anaconda3-2024.06-1-Linux-x86_64.sh
+```
+最后一步输入yes，关闭终端重新打开
+## 5. 使用conda 创建环境
+需指定python版本为3.10
+```bash
+conda create -n MinerU python=3.10
+conda activate MinerU
+```
+## 6. 安装应用
+```bash
+pip install magic-pdf[full] detectron2 --extra-index-url https://wheels.myhloli.com -i https://pypi.tuna.tsinghua.edu.cn/simple
+```
+> ❗️下载完成后，务必通过以下命令确认magic-pdf的版本是否正确
+> 
+> ```bash
+> magic-pdf --version
+>```
+> 如果版本号小于0.6.2，请到issue中向我们反馈
+
+## 7. 下载模型
+详细参考 [如何下载模型文件](how_to_download_models_zh_cn.md)  
+下载后请将models目录移动到空间较大的ssd磁盘目录  
+
+## 8. 第一次运行前的配置
+在仓库根目录可以获得 [magic-pdf.template.json](magic-pdf.template.json) 配置模版文件
+> ❗️务必执行以下命令将配置文件拷贝到【用户目录】下，否则程序将无法运行
+> 
+>  windows的用户目录为 "C:\Users\用户名", linux用户目录为 "/home/用户名", macOS用户目录为 "/Users/用户名"
+```bash
+cp magic-pdf.template.json ~/magic-pdf.json
+```
+
+在用户目录中找到magic-pdf.json文件并配置"models-dir"为[2. 下载模型权重文件](#2-下载模型权重文件)中下载的模型权重文件所在目录
+> ❗️务必正确配置模型权重文件所在目录，否则会因为找不到模型文件而导致程序无法运行
+> 
+> windows系统中应把路径中所有的"\\"替换为"/",否则会因为转义原因导致json文件语法错误。
+```json
+{
+  "models-dir": "/tmp/models"
+}
+```
+
+## 9. 第一次运行
+从仓库中下载样本文件，并测试
+```bash
+wget https://github.com/opendatalab/MinerU/raw/master/demo/small_ocr.pdf
+magic-pdf pdf-command --pdf small_ocr.pdf
+```
+## 10. 测试CUDA加速
+如果您的显卡显存大于等于8G，可以进行以下流程，测试CUDA解析加速效果
+
+**1.修改【用户目录】中配置文件magic-pdf.json中"device-mode"的值**
+```json
+{
+  "device-mode":"cuda"
+}
+```
+**2.运行以下命令测试cuda加速效果**
+```bash
+magic-pdf pdf-command --pdf small_ocr.pdf
+```
+
+## 11. 为ocr开启cuda加速
+> ❗️以下操作需显卡显存大于等于16G才可进行，否则会因为显存不足导致程序崩溃或运行速度下降
+
+**1.下载paddlepaddle-gpu, 安装完成后会自动开启ocr加速**
+```bash
+python -m pip install paddlepaddle-gpu==3.0.0b1 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
+```
+** 2.运行以下命令测试ocr加速效果**
+```bash
+magic-pdf pdf-command --pdf small_ocr.pdf
+```