### 1、查看有哪些环境
```cmd
conda info --envs
```
```angular2html
# conda environments:
#
base                     D:\anaconda3
py310                    D:\anaconda3\envs\py310
                      *  d:\anaconda3
```
### 2、激活环境
```cmd
conda activate py310
```

### 3、设置为默认源
升级pip + 配置pip使用清华源 
``` cmd
python -m pip install --upgrade pip
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
```

### 4、安装pip
```shell
pip install PyMuPDF 
pip install opencv-python paddleocr


# 版本兼容性是深度学习应用中常见的问题，特别是当库频繁更新时。推荐使用PaddlePaddle 2.5.2 + PaddleOCR最新版的组合，这通常是最稳定的配置。

# 没用GPU的用这个
pip install paddlepaddle==2.5.2
# 有GPU的用这个
pip install paddlepaddle-gpu==2.5.2

# 卸载
pip uninstall paddlepaddle==2.5.2 -y
pip uninstall paddlepaddle-gpu==2.5.2 -y

# 更新
pip install --upgrade paddleocr
```

【保姆级】Windows 安装 CUDA 和 cuDNN
https://sspai.com/post/98397
https://developer.download.nvidia.com/compute/cuda/12.9.1/local_installers/cuda_12.9.1_576.57_windows.exe

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[正确安装GPU显卡驱动、CUDA、cuDNN的详细教程](https://blog.csdn.net/qq_62928482/article/details/139674918)

我的笔记本显卡：NVIDIA GeForce RTX 3060 Laptop GPU



**nvidia-smi**



NVIDIA-SMI 576.57                 Driver Version: 576.57         CUDA Version: 12.9  



[CUDA - Wikipedia](https://en.wikipedia.org/wiki/CUDA)

![](https://dsideal.obs.cn-north-1.myhuaweicloud.com/HuangHai/BlogImages/%7Byear%7D/%7Bmonth%7D/%7Bmd5%7D.%7BextName%7D/20250618074946862.png)

![](https://dsideal.obs.cn-north-1.myhuaweicloud.com/HuangHai/BlogImages/%7Byear%7D/%7Bmonth%7D/%7Bmd5%7D.%7BextName%7D/20250618075233227.png)


https://developer.download.nvidia.cn/compute/cuda/11.4.4/local_installers/cuda_11.4.4_472.50_windows.exe



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方案介绍：

https://paddlepaddle.github.io/PaddleOCR/latest/version3.x/algorithm/PP-StructureV3/PP-StructureV3.html

使用教程：

https://paddlepaddle.github.io/PaddleOCR/latest/version3.x/pipeline_usage/PP-StructureV3.html


paddleocr pp_structurev3 -i https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/pp_structure_v3_demo.png