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### 1、查看有哪些环境
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```cmd
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conda info --envs
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```
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```angular2html
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# conda environments:
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#
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base D:\anaconda3
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py310 D:\anaconda3\envs\py310
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* d:\anaconda3
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```
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### 2、激活环境
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```cmd
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conda activate py310
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```
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### 3、设置为默认源
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升级pip + 配置pip使用清华源
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``` cmd
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python -m pip install --upgrade pip
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pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
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```
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### 4、安装pip
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```shell
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pip install PyMuPDF
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pip install opencv-python paddleocr
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# 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。
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# 没用GPU的用这个
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pip install paddlepaddle==2.5.2
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# 有GPU的用这个
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pip install paddlepaddle-gpu==2.5.2
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# 卸载
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pip uninstall paddlepaddle==2.5.2 -y
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pip uninstall paddlepaddle-gpu==2.5.2 -y
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# 更新
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pip install --upgrade paddleocr
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```
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【保姆级】Windows 安装 CUDA 和 cuDNN
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https://sspai.com/post/98397
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https://developer.download.nvidia.com/compute/cuda/12.9.1/local_installers/cuda_12.9.1_576.57_windows.exe
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10402852@qq.com
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dsideal4r5t6y7u
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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)
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我的笔记本显卡：NVIDIA GeForce RTX 3060 Laptop GPU
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**nvidia-smi**
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NVIDIA-SMI 576.57 Driver Version: 576.57 CUDA Version: 12.9
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[CUDA - Wikipedia](https://en.wikipedia.org/wiki/CUDA)
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https://developer.download.nvidia.cn/compute/cuda/11.4.4/local_installers/cuda_11.4.4_472.50_windows.exe
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10402852@qq.com
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dsideal4r5t6y7u
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方案介绍：
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https://paddlepaddle.github.io/PaddleOCR/latest/version3.x/algorithm/PP-StructureV3/PP-StructureV3.html
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使用教程：
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https://paddlepaddle.github.io/PaddleOCR/latest/version3.x/pipeline_usage/PP-StructureV3.html
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paddleocr pp_structurev3 -i https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/pp_structure_v3_demo.png
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