关于Windows系统的一些使用建议
#1849
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怒赞！👍🏻👍🏻 |
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近期安装 PaddleX3-beta 会出现此错误： Now download and update the repos: ['PaddleOCR', 'PaddleSeg', 'PaddleNLP', 'PaddleDetection', 'PaddleClas', 'PaddleTS'].
Traceback (most recent call last):
File "\\?\C:\DevTools\miniconda\envs\px3\Scripts\paddlex-script.py", line 33, in <module>
sys.exit(load_entry_point('paddlex', 'console_scripts', 'paddlex')())
File "c:\users\easygrid\desktop\temp\paddlex\paddlex\paddlex_cli.py", line 109, in main
install(args)
File "c:\users\easygrid\desktop\temp\paddlex\paddlex\paddlex_cli.py", line 85, in install
setup(
File "c:\users\easygrid\desktop\temp\paddlex\paddlex\repo_manager\core.py", line 183, in setup
getter.get(force=True, platform=platform)
File "c:\users\easygrid\desktop\temp\paddlex\paddlex\repo_manager\repo.py", line 386, in get
self.remove()
File "c:\users\easygrid\desktop\temp\paddlex\paddlex\repo_manager\repo.py", line 394, in remove
repo.remove()
File "c:\users\easygrid\desktop\temp\paddlex\paddlex\repo_manager\repo.py", line 152, in remove
remove_repo_using_rm(self.name)
File "c:\users\easygrid\desktop\temp\paddlex\paddlex\repo_manager\utils.py", line 104, in remove_repo_using_rm
return _check_call(['rm', '-rf', name])
File "c:\users\easygrid\desktop\temp\paddlex\paddlex\repo_manager\utils.py", line 25, in _check_call
return subprocess.check_call(*args, **kwargs)
File "C:\DevTools\miniconda\envs\px3\lib\subprocess.py", line 364, in check_call
retcode = call(*popenargs, **kwargs)
File "C:\DevTools\miniconda\envs\px3\lib\subprocess.py", line 345, in call
with Popen(*popenargs, **kwargs) as p:
File "C:\DevTools\miniconda\envs\px3\lib\subprocess.py", line 966, in __init__
self._execute_child(args, executable, preexec_fn, close_fds,
File "C:\DevTools\miniconda\envs\px3\lib\subprocess.py", line 1435, in _execute_child
hp, ht, pid, tid = _winapi.CreateProcess(executable, args,
FileNotFoundError: [WinError 2] 系统找不到指定的文件。原因不明，不知是OS问题，还是PaddleX3问题。 大家如遇到，可参照如下方法解决： 打开此文件： 将 修改后 if len(repos_to_get) > 0:
logging.info(
f"Now download and update the repos: {list(repo.name for repo in repos_to_get)}."
)
getter.get(force=False, platform=platform) # Line 183
logging.info("All repos are existing.")再次执行 paddlex --install 即可成功安装。
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百度飞浆AI一站式工具最新版PaddleX3的详细安装教程，根据以下步骤，可以帮助大家避坑，且一次性安装成功，助力大家将复杂的AI环境搭建标准化、流程化、简单化。原来AI开发可以如此简单。话不多说，直接上干货。
环境准备
本教程的PaddleX3环境搭建，基于此软硬件环境，请大家参考，如若您的环境与此不同，请尽量调整一致。
注：请务必确认自己的Nvidia GPU是否支持CUDA11.8
如何确认GPU是否支持CUDA11.8
注：只要这里显示的CUDA版本号 ≥ 11.8 即可。
安装步骤
严格按照下面的顺序流程，安装相关依赖与软件包，即可顺利完成PaddleX3的环境搭建。So Easy！
1、安装Microsoft C++编译器
注：此处下载的是在线安装包，所以安装过程较长，请耐心等待...
2、安装CUDA 11.8
3、安装CUDNN
4、安装miniConda
（1）生成配置文件
.condarc（其位置在用户根目录下）（2）将如下内容，复制到用户目录下的
.condarc文件中（3）清除索引缓存，保证用的是镜像站提供的索引
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple5、基于miniConda创建Python环境
6、安装PaddlePaddle
使用以下命令可以验证 PaddlePaddle 是否安装成功。
python -c "import paddle; paddle.utils.run_check()"查看 PaddlePaddle 版本的命令如下：
python -c "import paddle; print(paddle.__version__)"如果安装成功，将输出如下内容：
7、安装PaddleX
7-1、从 Github clone 源码
7-2、安装配置及依赖
使用PaddleX的模型进行AI推理
输出结果如下：
至此，PaddleX完全安装完毕！
Enjoy It！
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