Merge remote-tracking branch 'origin/dev' into dev

README.md

@@ -355,7 +355,7 @@ There are three different ways to experience MinerU:
     </tr>
     <tr>
         <td colspan="3">Python Version</td>
-        <td colspan="3">>=3.10</td>
+        <td colspan="3">3.10~3.13</td>
     </tr>
     <tr>
         <td colspan="3">Nvidia Driver Version</td>
@@ -365,8 +365,7 @@ There are three different ways to experience MinerU:
     </tr>
     <tr>
         <td colspan="3">CUDA Environment</td>
-        <td>11.8/12.4/12.6/12.8</td>
-        <td>11.8/12.4/12.6/12.8</td>
+        <td colspan="2"><a href="https://pytorch.org/get-started/locally/">Refer to the PyTorch official website</a></td>
         <td>None</td>
     </tr>
     <tr>
@@ -397,7 +396,7 @@ Synced with dev branch updates:
 #### 1. Install magic-pdf
 
 ```bash
-conda create -n mineru 'python>=3.10' -y
+conda create -n mineru 'python=3.12' -y
 conda activate mineru
 pip install -U "magic-pdf[full]"
 ```

README_zh-CN.md

@@ -344,7 +344,7 @@ https://github.com/user-attachments/assets/4bea02c9-6d54-4cd6-97ed-dff14340982c
     </tr>
     <tr>
         <td colspan="3">python版本</td>
-        <td colspan="3">>=3.10</td>
+        <td colspan="3">3.10~3.13</td>
     </tr>
     <tr>
         <td colspan="3">Nvidia Driver 版本</td>
@@ -354,8 +354,7 @@ https://github.com/user-attachments/assets/4bea02c9-6d54-4cd6-97ed-dff14340982c
     </tr>
     <tr>
         <td colspan="3">CUDA环境</td>
-        <td>11.8/12.4/12.6/12.8</td>
-        <td>11.8/12.4/12.6/12.8</td>
+        <td colspan="2"><a href="https://pytorch.org/get-started/locally/">Refer to the PyTorch official website</a></td>
         <td>None</td>
     </tr>
     <tr>
@@ -390,7 +389,7 @@ https://github.com/user-attachments/assets/4bea02c9-6d54-4cd6-97ed-dff14340982c
 > 最新版本国内镜像源同步可能会有延迟，请耐心等待
 
 ```bash
-conda create -n mineru 'python>=3.10' -y
+conda create -n mineru 'python=3.12' -y
 conda activate mineru
 pip install -U "magic-pdf[full]" -i https://mirrors.aliyun.com/pypi/simple
 ```

docker/china/Dockerfile

@@ -45,7 +45,7 @@ RUN /bin/bash -c "wget https://gcore.jsdelivr.net/gh/opendatalab/MinerU@master/m
     pip3 install -U magic-pdf[full] -i https://mirrors.aliyun.com/pypi/simple"
 
 # Download models and update the configuration file
-RUN /bin/bash -c "pip3 install modelscope && \
+RUN /bin/bash -c "pip3 install modelscope -i https://mirrors.aliyun.com/pypi/simple && \
     wget https://gcore.jsdelivr.net/gh/opendatalab/MinerU@master/scripts/download_models.py -O download_models.py && \
     python3 download_models.py && \
     sed -i 's|cpu|cuda|g' /root/magic-pdf.json"

docs/README_Ubuntu_CUDA_Acceleration_en_US.md

@@ -54,7 +54,7 @@ In the final step, enter `yes`, close the terminal, and reopen it.
 ### 4. Create an Environment Using Conda
 
 ```bash
-conda create -n mineru 'python>=3.10' -y
+conda create -n mineru 'python=3.12' -y
 conda activate mineru
 ```
 

docs/README_Ubuntu_CUDA_Acceleration_zh_CN.md

@@ -54,7 +54,7 @@ bash Anaconda3-2024.06-1-Linux-x86_64.sh
 ## 4. 使用conda 创建环境
 
 ```bash
-conda create -n mineru 'python>=3.10' -y
+conda create -n mineru 'python=3.12' -y
 conda activate mineru
 ```
 

docs/README_Windows_CUDA_Acceleration_en_US.md

@@ -2,11 +2,12 @@
 
 ### 1. Install CUDA and cuDNN
 
-You need to install a CUDA version that is compatible with torch's requirements. Currently, torch supports CUDA 11.8/12.4/12.6.
+You need to install a CUDA version that is compatible with torch's requirements. For details, please refer to the [official PyTorch website](https://pytorch.org/get-started/locally/).
 
 - CUDA 11.8 https://developer.nvidia.com/cuda-11-8-0-download-archive
 - CUDA 12.4 https://developer.nvidia.com/cuda-12-4-0-download-archive
 - CUDA 12.6 https://developer.nvidia.com/cuda-12-6-0-download-archive
+- CUDA 12.8 https://developer.nvidia.com/cuda-12-8-0-download-archive
 
 ### 2. Install Anaconda
 
@@ -17,7 +18,7 @@ Download link: https://repo.anaconda.com/archive/Anaconda3-2024.06-1-Windows-x86
 ### 3. Create an Environment Using Conda
 
 ```bash
-conda create -n mineru 'python>=3.10' -y
+conda create -n mineru 'python=3.12' -y
 conda activate mineru
 ```
 

docs/README_Windows_CUDA_Acceleration_zh_CN.md

@@ -1,12 +1,13 @@
 # Windows10/11
 
-## 1. 安装cuda和cuDNN
+## 1. 安装cuda环境
 
-需要安装符合torch要求的cuda版本，torch目前支持11.8/12.4/12.6
+需要安装符合torch要求的cuda版本，具体可参考[torch官网](https://pytorch.org/get-started/locally/)
 
 - CUDA 11.8 https://developer.nvidia.com/cuda-11-8-0-download-archive
 - CUDA 12.4 https://developer.nvidia.com/cuda-12-4-0-download-archive
 - CUDA 12.6 https://developer.nvidia.com/cuda-12-6-0-download-archive
+- CUDA 12.8 https://developer.nvidia.com/cuda-12-8-0-download-archive
 
 ## 2. 安装anaconda
 
@@ -18,7 +19,7 @@ https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/Anaconda3-2024.06-1-Window
 ## 3. 使用conda 创建环境
 
 ```bash
-conda create -n mineru 'python>=3.10' -y
+conda create -n mineru 'python=3.12' -y
 conda activate mineru
 ```
 

next_docs/en/user_guide/install/boost_with_cuda.rst

@@ -76,11 +76,11 @@ In the final step, enter ``yes``, close the terminal, and reopen it.
 4. Create an Environment Using Conda
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-Specify Python version 3.10.
+Specify Python version 3.10～3.13.
 
 .. code:: sh
 
-    conda create -n mineru 'python>=3.10' -y
+    conda create -n mineru 'python=3.12' -y
     conda activate mineru
 
 5. Install Applications
@@ -155,14 +155,15 @@ to test CUDA acceleration:
 Windows 10/11
 --------------
 
-1. Install CUDA and cuDNN
+1. Install CUDA
 ~~~~~~~~~~~~~~~~~~~~~~~~~
 
-You need to install a CUDA version that is compatible with torch's requirements. Currently, torch supports CUDA 11.8/12.4/12.6.
+You need to install a CUDA version that is compatible with torch's requirements. For details, please refer to the [official PyTorch website](https://pytorch.org/get-started/locally/).
 
 - CUDA 11.8 https://developer.nvidia.com/cuda-11-8-0-download-archive
 - CUDA 12.4 https://developer.nvidia.com/cuda-12-4-0-download-archive
 - CUDA 12.6 https://developer.nvidia.com/cuda-12-6-0-download-archive
+- CUDA 12.8 https://developer.nvidia.com/cuda-12-8-0-download-archive
 
 
 2. Install Anaconda
@@ -177,7 +178,7 @@ Download link: https://repo.anaconda.com/archive/Anaconda3-2024.06-1-Windows-x86
 
 ::
 
-    conda create -n mineru 'python>=3.10' -y
+    conda create -n mineru 'python=3.12' -y
     conda activate mineru
 
 4. Install Applications

next_docs/en/user_guide/install/install.rst

@@ -61,7 +61,7 @@ Also you can try `online demo <https://www.modelscope.cn/studios/OpenDataLab/Min
     </tr>
     <tr>
         <td colspan="3">Python Version</td>
-        <td colspan="3">3.10~3.12</td>
+        <td colspan="3">3.10~3.13</td>
     </tr>
     <tr>
         <td colspan="3">Nvidia Driver Version</td>
@@ -71,8 +71,7 @@ Also you can try `online demo <https://www.modelscope.cn/studios/OpenDataLab/Min
     </tr>
     <tr>
         <td colspan="3">CUDA Environment</td>
-        <td>11.8/12.4/12.6/12.8</td>
-        <td>11.8/12.4/12.6/12.8</td>
+        <td colspan="2"><a href="https://pytorch.org/get-started/locally/">Refer to the PyTorch official website</a></td>
         <td>None</td>
     </tr>
     <tr>
@@ -97,7 +96,7 @@ Create an environment
 
 .. code-block:: shell
 
-    conda create -n mineru 'python>=3.10' -y
+    conda create -n mineru 'python=3.12' -y
     conda activate mineru
     pip install -U "magic-pdf[full]"