Windows 10/11

1. Install CUDA and cuDNN

Required versions: CUDA 11.8 + cuDNN 8.7.0

CUDA 11.8: https://developer.nvidia.com/cuda-11-8-0-download-archive
cuDNN v8.7.0 (November 28th, 2022), for CUDA 11.x: https://developer.nvidia.com/rdp/cudnn-archive

2. Install Anaconda

If Anaconda is already installed, you can skip this step.

Download link: https://repo.anaconda.com/archive/Anaconda3-2024.06-1-Windows-x86_64.exe

3. Create an Environment Using Conda

Python version must be 3.10.

   conda create -n MinerU python=3.10
   conda activate MinerU

4. Install Applications

   pip install -U magic-pdf[full] --extra-index-url https://wheels.myhloli.com

❗️After installation, verify the version of magic-pdf:

   >  magic-pdf --version
   >  ```
   > If the version number is less than 0.7.0, please report it in the issues section.
   
### 5. Download Models
   Refer to detailed instructions on [how to download model files](how_to_download_models_en.md).

### 6. Understand the Location of the Configuration File

After completing the [5. Download Models](#5-download-models) step, the script will automatically generate a `magic-pdf.json` file in the user directory and configure the default model path.
You can find the `magic-pdf.json` file in your 【user directory】 .
> The user directory for Windows is "C:/Users/username".

### 7. First Run
   Download a sample file from the repository and test it.

powershell

 (New-Object System.Net.WebClient).DownloadFile('https://github.com/opendatalab/MinerU/raw/master/demo/small_ocr.pdf', 'small_ocr.pdf')
 magic-pdf -p small_ocr.pdf

```

8. Test CUDA Acceleration

If your graphics card has at least 8GB of VRAM, follow these steps to test CUDA-accelerated parsing performance.

Overwrite the installation of torch and torchvision supporting CUDA.
```
  pip install --force-reinstall torch==2.3.1 torchvision==0.18.1 --index-url https://download.pytorch.org/whl/cu118
```
❗️Ensure the following versions are specified in the command:
```
torch==2.3.1 torchvision==0.18.1
```
These are the highest versions we support. Installing higher versions without specifying them will cause the program to fail.
Modify the value of "device-mode" in the magic-pdf.json configuration file located in your user directory.
```
  {
    "device-mode": "cuda"
  }
```
Run the following command to test CUDA acceleration:
```
  magic-pdf -p small_ocr.pdf
```

9. Enable CUDA Acceleration for OCR

❗️This operation requires at least 16GB of VRAM on your graphics card, otherwise it will cause the program to crash or slow down.
Download paddlepaddle-gpu, which will automatically enable OCR acceleration upon installation.
  pip install paddlepaddle-gpu==2.6.1
Run the following command to test OCR acceleration:
  magic-pdf -p small_ocr.pdf

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