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build(deps): update torch and torchvision version requirements
- Specify torch==2.3.1 and torchvision==0.18.1 for Windows CUDA installation - Add torch and torchvision version constraints in setup.py: - torch>=2.2.2,<=2.3.1 - torchvision>=0.17.2,<=0.18.1 - Update installation instructions in both English and Chinese README files
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@@ -65,7 +65,7 @@ If your graphics card has at least 8GB of VRAM, follow these steps to test CUDA-
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1. **Overwrite the installation of torch and torchvision** supporting CUDA.
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```
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pip install --force-reinstall torch torchvision --index-url https://download.pytorch.org/whl/cu118
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pip install --force-reinstall torch==2.3.1 torchvision==0.18.1 --index-url https://download.pytorch.org/whl/cu118
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```
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2. **Modify the value of `"device-mode"`** in the `magic-pdf.json` configuration file located in your user directory.
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@@ -66,7 +66,7 @@ pip install -U magic-pdf[full] --extra-index-url https://wheels.myhloli.com -i h
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**1.覆盖安装支持cuda的torch和torchvision**
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```bash
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pip install --force-reinstall torch torchvision --index-url https://download.pytorch.org/whl/cu118
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pip install --force-reinstall torch==2.3.1 torchvision==0.18.1 --index-url https://download.pytorch.org/whl/cu118
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```
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**2.修改【用户目录】中配置文件magic-pdf.json中"device-mode"的值**
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@@ -36,7 +36,9 @@ if __name__ == '__main__':
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"paddlepaddle==3.0.0b1;platform_system=='Linux'",
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"paddlepaddle==2.6.1;platform_system=='Windows' or platform_system=='Darwin'",
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],
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"full": ["unimernet==0.2.2", # unimernet升级0.2.1
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"full": ["unimernet==0.2.2", # unimernet升级0.2.2,移除torchtext的依赖
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"torch>=2.2.2,<=2.3.1", # torch2.4.0及之后版本未测试,先卡住版本上限
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"torchvision>=0.17.2,<=0.18.1", # torchvision 受torch版本约束
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"matplotlib<=3.9.0;platform_system=='Windows'", # 3.9.1及之后不提供windows的预编译包,避免一些没有编译环境的windows设备安装失败
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"matplotlib;platform_system=='Linux' or platform_system=='Darwin'", # linux 和 macos 不应限制matplotlib的最高版本,以避免无法更新导致的一些bug
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"ultralytics>=8.3.48", # yolov8,公式检测
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