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使用pymssql模块连接Python 2.6与MSSQL数据库

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### 知识点详解 #### Python 2.6版本特性 - **发布年份**: Python 2.6最初发布于2008年10月1日。 - **主要特性**: - 作为Python 2.x系列的一个过渡版本,Python 2.6引入了一些未来版本(特别是Python 3.x)的特性,但同时保持了对旧代码的兼容性。 - 添加了“with”语句的改进,即允许`__enter__`和`__exit__`方法的上下文管理器。 - 引入了`distutils`库中的`setup.cfg`配置文件。 - 新增了`json`模块,用于处理JSON数据格式。 - 提供了对虚拟环境创建和管理的支持。 - 引入了更复杂的字符串格式化功能,例如使用`{}`占位符。 - **结束支持**: Python 2.6在2013年结束了官方支持,这意味着不再有安全更新或者新功能的开发。 #### pymssql模块 - **概述**: pymssql是一个用于连接MSSQL数据库的Python模块,允许Python脚本通过网络与MSSQL数据库进行交互。 - **功能特点**: - 支持在Python中执行SQL语句,如SELECT、INSERT、UPDATE、DELETE等。 - 支持事务处理,可以通过pymssql进行事务的提交和回滚。 - 具备异常处理能力,能处理数据库连接错误、查询错误等。 - 可以在脚本中处理存储过程的调用和结果集的处理。 - **使用场景**: - 开发基于Python的应用程序,需要访问和操作MSSQL数据库。 - 数据分析、数据挖掘项目中用于提取、处理和分析存储在MSSQL数据库中的数据。 - **兼容性**: pymssql-1.9.908.win32-py2.6.exe是为Python 2.6版本编译的安装包,说明了其特定的依赖性。 #### 安装与配置 - **安装过程**: 1. 下载pymssql模块的安装文件`pymssql-1.9.908.win32-py2.6.exe`。 2. 双击运行安装文件,按提示完成安装。 3. 确认安装成功后,可以在Python 2.6环境中使用import pymssql语句检查模块是否可以被正确导入。 - **配置要点**: - 在安装pymssql之前,需要确保MSSQL数据库服务是运行状态,并且数据库服务器允许来自客户端的连接。 - 在Python代码中,需要正确配置连接字符串,包括服务器地址、数据库名、用户名和密码等信息,以确保能够成功连接到MSSQL数据库。 #### Python 2与Python 3的差异 - **语法差异**: - Python 3对许多语法进行了改进,比如在Python 2中,`print`是一个语句,在Python 3中则变成了函数。 - Unicode字符串的处理在Python 3中得到了显著改善,所有的字符串默认是Unicode字符串。 - **内置函数和库的变化**: - 在Python 3中,许多内置函数和模块有新的名称或者改进,比如`dict.keys()`, `dict.items()`, `dict.values()`在Python 3中返回视图而非列表。 - Python 3移除了某些过时的模块,比如`asyncore`和`asynchat`。 - **性能差异**: - Python 3在性能上有所提升,特别是在某些核心功能上,比如迭代器、生成器等。 - **未来展望**: - 随着Python 2的结束支持,Python社区普遍推荐使用Python 3进行新项目的开发。 - 对于使用Python 2的旧项目,推荐逐步迁移到Python 3以保证软件的安全和可持续发展。 #### 文件名称解析 - **pymssql-1.9.908.win32-py2.6.exe**: 这是一个为Python 2.6版本编译的Windows 32位安装程序文件。 - **python-2.6.msi**: 这是Python 2.6的Windows安装包,MSI格式的安装文件,通常用于简化安装过程,支持Windows平台的自动安装。 综上所述,了解`python2.6`和`pymssql-1.9.908.win32-py2.6.exe`的具体内容和用法,对想要进行Python开发的用户非常重要,尤其是在需要与MSSQL数据库交互时。同时,考虑到Python 2与Python 3在语法、库和性能上的差异,开发者应当根据项目的实际需要和未来规划,选择合适的Python版本和数据库交互模块。

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(base) C:\Users\60925>python --v unknown option --v usage: python [option] ... [-c cmd | -m mod | file | -] [arg] ... Try `python -h' for more information. (base) C:\Users\60925>python --version Python 3.7.1 (base) C:\Users\60925> (base) C:\Users\60925>conda install conda=4.8 Solving environment: failed CondaValueError: Malformed version string '~': invalid character(s). (base) C:\Users\60925>conda config --show-sources ==> C:\Users\60925\.condarc <== show_channel_urls: True (base) C:\Users\60925>conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main (base) C:\Users\60925>conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free (base) C:\Users\60925>conda config --set show_channel_urls true (base) C:\Users\60925>conda config --show add_anaconda_token: True add_pip_as_python_dependency: True aggressive_update_packages: - ca-certificates - certifi - openssl allow_non_channel_urls: False allow_softlinks: False always_copy: False always_softlink: False always_yes: None anaconda_upload: None auto_update_conda: True changeps1: True channel_alias: https://conda.anaconda.org channel_priority: True channels: - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - defaults client_ssl_cert: None client_ssl_cert_key: None clobber: False create_default_packages: [] custom_channels: pkgs/main: https://repo.anaconda.com pkgs/free: https://repo.anaconda.com pkgs/r: https://repo.anaconda.com pkgs/pro: https://repo.anaconda.com pkgs/msys2: https://repo.anaconda.com custom_multichannels: defaults: ["https://repo.anaconda.com/pkgs/main", "https://repo.anaconda.com/pkgs/free", "https://repo.anaconda.com/pkgs/r", "https://repo.anaconda.com/pkgs/pro", "https://repo.anaconda.com/pkgs/msys2"] local: [] default_channels: - https://repo.anaconda.com/pkgs/main - https://repo.anaconda.com/pkgs/free - https://repo.anaconda.com/pkgs/r - https://repo.anaconda.com/pkgs/pro - https://repo.anaconda.com/pkgs/msys2 disallowed_packages: [] download_only: False envs_dirs: - D:\ruanjian\anaconda3\envs - C:\Users\60925\AppData\Local\conda\conda\envs - C:\Users\60925\.conda\envs extra_safety_checks: False force: False json: False local_repodata_ttl: 1 max_shlvl: 2 migrated_channel_aliases: [] no_dependencies: False non_admin_enabled: True notify_outdated_conda: True offline: False override_channels_enabled: True path_conflict: clobber pinned_packages: [] pkgs_dirs: - D:\ruanjian\anaconda3\pkgs - C:\Users\60925\AppData\Local\conda\conda\pkgs proxy_servers: {} quiet: False remote_connect_timeout_secs: 9.15 remote_max_retries: 3 remote_read_timeout_secs: 60.0 report_errors: None rollback_enabled: True safety_checks: warn shortcuts: True show_channel_urls: True ssl_verify: True track_features: [] use_index_cache: False use_pip: True verbosity: 0 whitelist_channels: [] (base) C:\Users\60925>conda config --remove-key channels CondaKeyError: 'channels': key 'channels' is not in the config file (base) C:\Users\60925>conda config --show channels channels: - defaults (base) C:\Users\60925>conda config --add channels http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/ (base) C:\Users\60925>conda config --add channels http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/ (base) C:\Users\60925>conda config --add channels http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/ (base) C:\Users\60925>conda config --show channels channels: - http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/ - http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/ - http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/ - defaults (base) C:\Users\60925>conda config --get channels --add channels 'defaults' # lowest priority --add channels 'http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/' --add channels 'http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/' --add channels 'http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/' # highest priority (base) C:\Users\60925>conda install conda=23.10.0 Solving environment: failed CondaValueError: Malformed version string '~': invalid character(s). (base) C:\Users\60925>conda install conda=4.8 Solving environment: failed CondaValueError: Malformed version string '~': invalid character(s). (base) C:\Users\60925>conda --version conda 4.5.12 (base) C:\Users\60925>conda update anaconda Solving environment: failed CondaValueError: Malformed version string '~': invalid character(s). (base) C:\Users\60925>conda update --all Solving environment: failed CondaValueError: Malformed version string '~': invalid character(s). (base) C:\Users\60925>conda update -n base -c defaults conda Solving environment: failed InvalidVersionSpecError: Invalid version spec: =2.7 (base) C:\Users\60925>conda clean --all Cache location: D:\ruanjian\anaconda3\pkgs Will remove the following tarballs: D:\ruanjian\anaconda3\pkgs -------------------------- alabaster-0.7.12-py37_0.tar.bz2 17 KB anaconda-2018.12-py37_0.tar.bz2 11 KB anaconda-client-1.7.2-py37_0.tar.bz2 199 KB anaconda-navigator-1.9.6-py37_0.tar.bz2 4.7 MB anaconda-project-0.8.2-py37_0.tar.bz2 493 KB asn1crypto-0.24.0-py37_0.tar.bz2 154 KB astroid-2.1.0-py37_0.tar.bz2 270 KB astropy-3.1-py37he774522_0.tar.bz2 6.9 MB atomicwrites-1.2.1-py37_0.tar.bz2 11 KB attrs-18.2.0-py37h28b3542_0.tar.bz2 51 KB babel-2.6.0-py37_0.tar.bz2 5.7 MB backcall-0.1.0-py37_0.tar.bz2 19 KB backports-1.0-py37_1.tar.bz2 3 KB backports.os-0.1.1-py37_0.tar.bz2 15 KB backports.shutil_get_terminal_size-1.0.0-py37_2.tar.bz2 8 KB beautifulsoup4-4.6.3-py37_0.tar.bz2 141 KB bitarray-0.8.3-py37hfa6e2cd_0.tar.bz2 56 KB bkcharts-0.2-py37_0.tar.bz2 127 KB blas-1.0-mkl.tar.bz2 6 KB blaze-0.11.3-py37_0.tar.bz2 624 KB bleach-3.0.2-py37_0.tar.bz2 218 KB blosc-1.14.4-he51fdeb_0.tar.bz2 651 KB bokeh-1.0.2-py37_0.tar.bz2 5.3 MB boto-2.49.0-py37_0.tar.bz2 1.6 MB bottleneck-1.2.1-py37h452e1ab_1.tar.bz2 112 KB bzip2-1.0.6-hfa6e2cd_5.tar.bz2 145 KB ca-certificates-2018.03.07-0.tar.bz2 155 KB certifi-2018.11.29-py37_0.tar.bz2 146 KB cffi-1.11.5-py37h74b6da3_1.tar.bz2 213 KB chardet-3.0.4-py37_1.tar.bz2 184 KB click-7.0-py37_0.tar.bz2 118 KB cloudpickle-0.6.1-py37_0.tar.bz2 27 KB clyent-1.2.2-py37_1.tar.bz2 18 KB colorama-0.4.1-py37_0.tar.bz2 24 KB comtypes-1.1.7-py37_0.tar.bz2 233 KB conda-4.5.12-py37_0.tar.bz2 1.1 MB conda-build-3.17.6-py37_0.tar.bz2 532 KB conda-env-2.6.0-1.tar.bz2 3 KB conda-verify-3.1.1-py37_0.tar.bz2 73 KB console_shortcut-0.1.1-3.tar.bz2 59 KB contextlib2-0.5.5-py37_0.tar.bz2 15 KB cryptography-2.4.2-py37h7a1dbc1_0.tar.bz2 550 KB curl-7.63.0-h2a8f88b_1000.tar.bz2 124 KB cycler-0.10.0-py37_0.tar.bz2 13 KB cython-0.29.2-py37ha925a31_0.tar.bz2 2.0 MB cytoolz-0.9.0.1-py37hfa6e2cd_1.tar.bz2 325 KB dask-1.0.0-py37_0.tar.bz2 3 KB dask-core-1.0.0-py37_0.tar.bz2 1.2 MB datashape-0.5.4-py37_1.tar.bz2 100 KB decorator-4.3.0-py37_0.tar.bz2 15 KB defusedxml-0.5.0-py37_1.tar.bz2 30 KB distributed-1.25.1-py37_0.tar.bz2 851 KB docutils-0.14-py37_0.tar.bz2 694 KB entrypoints-0.2.3-py37_2.tar.bz2 9 KB et_xmlfile-1.0.1-py37_0.tar.bz2 20 KB fastcache-1.0.2-py37hfa6e2cd_2.tar.bz2 31 KB filelock-3.0.10-py37_0.tar.bz2 14 KB flask-1.0.2-py37_1.tar.bz2 137 KB flask-cors-3.0.7-py37_0.tar.bz2 21 KB freetype-2.9.1-ha9979f8_1.tar.bz2 470 KB future-0.17.1-py37_0.tar.bz2 720 KB get_terminal_size-1.0.0-h38e98db_0.tar.bz2 3 KB gevent-1.3.7-py37he774522_1.tar.bz2 1.6 MB glob2-0.6-py37_1.tar.bz2 17 KB greenlet-0.4.15-py37hfa6e2cd_0.tar.bz2 21 KB h5py-2.8.0-py37h3bdd7fb_2.tar.bz2 833 KB hdf5-1.10.2-hac2f561_1.tar.bz2 34.8 MB heapdict-1.0.0-py37_2.tar.bz2 7 KB html5lib-1.0.1-py37_0.tar.bz2 181 KB icc_rt-2019.0.0-h0cc432a_1.tar.bz2 9.4 MB icu-58.2-ha66f8fd_1.tar.bz2 21.9 MB idna-2.8-py37_0.tar.bz2 101 KB imageio-2.4.1-py37_0.tar.bz2 3.3 MB imagesize-1.1.0-py37_0.tar.bz2 10 KB importlib_metadata-0.6-py37_0.tar.bz2 21 KB intel-openmp-2019.1-144.tar.bz2 1.7 MB ipykernel-5.1.0-py37h39e3cac_0.tar.bz2 156 KB ipython-7.2.0-py37h39e3cac_0.tar.bz2 1.1 MB ipython_genutils-0.2.0-py37_0.tar.bz2 39 KB ipywidgets-7.4.2-py37_0.tar.bz2 151 KB isort-4.3.4-py37_0.tar.bz2 76 KB itsdangerous-1.1.0-py37_0.tar.bz2 27 KB jdcal-1.4-py37_0.tar.bz2 11 KB jedi-0.13.2-py37_0.tar.bz2 230 KB jinja2-2.10-py37_0.tar.bz2 183 KB jpeg-9b-hb83a4c4_2.tar.bz2 313 KB jsonschema-2.6.0-py37_0.tar.bz2 104 KB jupyter-1.0.0-py37_7.tar.bz2 6 KB jupyterlab-0.35.3-py37_0.tar.bz2 10.5 MB jupyterlab_server-0.2.0-py37_0.tar.bz2 40 KB jupyter_client-5.2.4-py37_0.tar.bz2 203 KB jupyter_console-6.0.0-py37_0.tar.bz2 53 KB jupyter_core-4.4.0-py37_0.tar.bz2 85 KB keyring-17.0.0-py37_0.tar.bz2 67 KB kiwisolver-1.0.1-py37h6538335_0.tar.bz2 61 KB krb5-1.16.1-hc04afaa_7.tar.bz2 819 KB lazy-object-proxy-1.3.1-py37hfa6e2cd_2.tar.bz2 32 KB libarchive-3.3.3-h0643e63_5.tar.bz2 1.4 MB libcurl-7.63.0-h2a8f88b_1000.tar.bz2 274 KB libiconv-1.15-h1df5818_7.tar.bz2 664 KB libpng-1.6.35-h2a8f88b_0.tar.bz2 589 KB libsodium-1.0.16-h9d3ae62_0.tar.bz2 585 KB libssh2-1.8.0-h7a1dbc1_4.tar.bz2 183 KB libtiff-4.0.9-h36446d0_2.tar.bz2 829 KB libxml2-2.9.8-hadb2253_1.tar.bz2 3.2 MB libxslt-1.1.32-hf6f1972_0.tar.bz2 458 KB llvmlite-0.26.0-py37ha925a31_0.tar.bz2 9.7 MB locket-0.2.0-py37_1.tar.bz2 8 KB lxml-4.2.5-py37hef2cd61_0.tar.bz2 1.2 MB lz4-c-1.8.1.2-h2fa13f4_0.tar.bz2 217 KB lzo-2.10-h6df0209_2.tar.bz2 154 KB m2w64-gcc-libgfortran-5.3.0-6.tar.bz2 340 KB m2w64-gcc-libs-5.3.0-7.tar.bz2 518 KB m2w64-gcc-libs-core-5.3.0-7.tar.bz2 213 KB m2w64-gmp-6.1.0-2.tar.bz2 689 KB m2w64-libwinpthread-git-5.0.0.4634.697f757-2.tar.bz2 30 KB markupsafe-1.1.0-py37he774522_0.tar.bz2 29 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pylint-2.2.2-py37_0.tar.bz2 Removed pyodbc-4.0.25-py37ha925a31_0.tar.bz2 Removed pyopenssl-18.0.0-py37_0.tar.bz2 Removed pyparsing-2.3.0-py37_0.tar.bz2 Removed pyqt-5.9.2-py37h6538335_2.tar.bz2 Removed pysocks-1.6.8-py37_0.tar.bz2 Removed pytables-3.4.4-py37he6f6034_0.tar.bz2 Removed pytest-4.0.2-py37_0.tar.bz2 Removed pytest-arraydiff-0.3-py37h39e3cac_0.tar.bz2 Removed pytest-astropy-0.5.0-py37_0.tar.bz2 Removed pytest-doctestplus-0.2.0-py37_0.tar.bz2 Removed pytest-openfiles-0.3.1-py37_0.tar.bz2 Removed pytest-remotedata-0.3.1-py37_0.tar.bz2 Removed python-3.7.1-h8c8aaf0_6.tar.bz2 Removed python-dateutil-2.7.5-py37_0.tar.bz2 Removed python-libarchive-c-2.8-py37_6.tar.bz2 Removed pytz-2018.7-py37_0.tar.bz2 Removed pywavelets-1.0.1-py37h8c2d366_0.tar.bz2 Removed pywin32-223-py37hfa6e2cd_1.tar.bz2 Removed pywinpty-0.5.5-py37_1000.tar.bz2 Removed pyyaml-3.13-py37hfa6e2cd_0.tar.bz2 Removed pyzmq-17.1.2-py37hfa6e2cd_0.tar.bz2 Removed qt-5.9.7-vc14h73c81de_0.tar.bz2 Removed qtawesome-0.5.3-py37_0.tar.bz2 Removed qtconsole-4.4.3-py37_0.tar.bz2 Removed qtpy-1.5.2-py37_0.tar.bz2 Removed requests-2.21.0-py37_0.tar.bz2 Removed rope-0.11.0-py37_0.tar.bz2 Removed ruamel_yaml-0.15.46-py37hfa6e2cd_0.tar.bz2 Removed scikit-image-0.14.1-py37ha925a31_0.tar.bz2 Removed scikit-learn-0.20.1-py37h343c172_0.tar.bz2 Removed scipy-1.1.0-py37h29ff71c_2.tar.bz2 Removed seaborn-0.9.0-py37_0.tar.bz2 Removed send2trash-1.5.0-py37_0.tar.bz2 Removed setuptools-40.6.3-py37_0.tar.bz2 Removed simplegeneric-0.8.1-py37_2.tar.bz2 Removed singledispatch-3.4.0.3-py37_0.tar.bz2 Removed sip-4.19.8-py37h6538335_0.tar.bz2 Removed six-1.12.0-py37_0.tar.bz2 Removed snappy-1.1.7-h777316e_3.tar.bz2 Removed snowballstemmer-1.2.1-py37_0.tar.bz2 Removed sortedcollections-1.0.1-py37_0.tar.bz2 Removed sortedcontainers-2.1.0-py37_0.tar.bz2 Removed sphinx-1.8.2-py37_0.tar.bz2 Removed sphinxcontrib-1.0-py37_1.tar.bz2 Removed sphinxcontrib-websupport-1.1.0-py37_1.tar.bz2 Removed spyder-3.3.2-py37_0.tar.bz2 Removed spyder-kernels-0.3.0-py37_0.tar.bz2 Removed sqlalchemy-1.2.15-py37he774522_0.tar.bz2 Removed sqlite-3.26.0-he774522_0.tar.bz2 Removed statsmodels-0.9.0-py37h452e1ab_0.tar.bz2 Removed sympy-1.3-py37_0.tar.bz2 Removed tblib-1.3.2-py37_0.tar.bz2 Removed terminado-0.8.1-py37_1.tar.bz2 Removed testpath-0.4.2-py37_0.tar.bz2 Removed tk-8.6.8-hfa6e2cd_0.tar.bz2 Removed toolz-0.9.0-py37_0.tar.bz2 Removed tornado-5.1.1-py37hfa6e2cd_0.tar.bz2 Removed tqdm-4.28.1-py37h28b3542_0.tar.bz2 Removed traitlets-4.3.2-py37_0.tar.bz2 Removed unicodecsv-0.14.1-py37_0.tar.bz2 Removed urllib3-1.24.1-py37_0.tar.bz2 Removed vc-14.1-h0510ff6_4.tar.bz2 Removed vs2015_runtime-14.15.26706-h3a45250_0.tar.bz2 Removed wcwidth-0.1.7-py37_0.tar.bz2 Removed webencodings-0.5.1-py37_1.tar.bz2 Removed werkzeug-0.14.1-py37_0.tar.bz2 Removed wheel-0.32.3-py37_0.tar.bz2 Removed widgetsnbextension-3.4.2-py37_0.tar.bz2 Removed wincertstore-0.2-py37_0.tar.bz2 Removed winpty-0.4.3-4.tar.bz2 Removed win_inet_pton-1.0.1-py37_1.tar.bz2 Removed win_unicode_console-0.5-py37_0.tar.bz2 Removed wrapt-1.10.11-py37hfa6e2cd_2.tar.bz2 Removed xlrd-1.2.0-py37_0.tar.bz2 Removed xlsxwriter-1.1.2-py37_0.tar.bz2 Removed xlwings-0.15.1-py37_0.tar.bz2 Removed xlwt-1.3.0-py37_0.tar.bz2 Removed xz-5.2.4-h2fa13f4_4.tar.bz2 Removed yaml-0.1.7-hc54c509_2.tar.bz2 Removed zeromq-4.2.5-he025d50_1.tar.bz2 Removed zict-0.1.3-py37_0.tar.bz2 Removed zlib-1.2.11-h62dcd97_3.tar.bz2 Removed zstd-1.3.7-h508b16e_0.tar.bz2 Removed _ipyw_jlab_nb_ext_conf-0.1.0-py37_0.tar.bz2 Cache location: D:\ruanjian\anaconda3\pkgs Will remove the following packages: D:\ruanjian\anaconda3\pkgs -------------------------- anaconda-2018.12-py37_0 59 KB blas-1.0-mkl 16 KB conda-env-2.6.0-1 6 KB dask-1.0.0-py37_0 9 KB get_terminal_size-1.0.0-h38e98db_0 8 KB msys2-conda-epoch-20160418-1 6 KB numpy-1.15.4-py37h19fb1c0_0 249 KB vc-14.1-h0510ff6_4 17 KB --------------------------------------------------- Total: 370 KB Proceed ([y]/n)? y removing anaconda-2018.12-py37_0 removing blas-1.0-mkl removing conda-env-2.6.0-1 removing dask-1.0.0-py37_0 removing get_terminal_size-1.0.0-h38e98db_0 removing msys2-conda-epoch-20160418-1 removing numpy-1.15.4-py37h19fb1c0_0 removing vc-14.1-h0510ff6_4 source cache (D:\ruanjian\anaconda3\conda-bld\src_cache) Size: 0 B git cache (D:\ruanjian\anaconda3\conda-bld\git_cache) Size: 0 B hg cache (D:\ruanjian\anaconda3\conda-bld\hg_cache) Size: 0 B svn cache (D:\ruanjian\anaconda3\conda-bld\svn_cache) Size: 0 B Total: 0 B Proceed ([y]/n)? y Removing D:\ruanjian\anaconda3\conda-bld\src_cache Removing D:\ruanjian\anaconda3\conda-bld\git_cache Removing D:\ruanjian\anaconda3\conda-bld\hg_cache Removing D:\ruanjian\anaconda3\conda-bld\svn_cache (base) C:\Users\60925>conda install conda=23.10.0 Solving environment: failed CondaValueError: Malformed version string '~': invalid character(s). (base) C:\Users\60925>conda install -c defaults conda=23.10.0 Solving environment: failed CondaValueError: Malformed version string '~': invalid character(s). (base) C:\Users\60925>为什么我的conda版本这么老?导致我根本无法更新conda,但是我使用的py必须是3.7的版本的,这是我找到的默认安装3.7版本的anaconda版本,但是安装的conda版本太老了,根本无法使用,应该如何解决?请帮我列出全部的有可能的解决方法

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基于我给出的代码片段解答上一个问题。另外,请根据我conda环境已安装的包制定方案: # Name Version Build Channel _libgcc_mutex 0.1 main defaults _openmp_mutex 5.1 1_gnu defaults accelerate 1.6.0 pypi_0 pypi aiohappyeyeballs 2.6.1 pypi_0 pypi aiohttp 3.11.16 pypi_0 pypi aiosignal 1.3.2 pypi_0 pypi aiosqlite 0.21.0 pypi_0 pypi annotated-types 0.7.0 pypi_0 pypi anyio 4.9.0 pypi_0 pypi asgiref 3.8.1 pypi_0 pypi asttokens 2.0.5 pyhd3eb1b0_0 defaults attrs 25.3.0 pypi_0 pypi backoff 2.2.1 pypi_0 pypi banks 2.1.1 pypi_0 pypi bcrypt 4.3.0 pypi_0 pypi beautifulsoup4 4.13.3 pypi_0 pypi blas 1.0 mkl defaults bottleneck 1.4.2 py311hf4808d0_0 defaults build 1.2.2.post1 pypi_0 pypi bzip2 1.0.8 h5eee18b_6 defaults ca-certificates 2025.2.25 h06a4308_0 defaults cachetools 5.5.2 pypi_0 pypi certifi 2025.1.31 pypi_0 pypi charset-normalizer 3.4.1 pypi_0 pypi chromadb 1.0.12 pypi_0 pypi click 8.1.8 pypi_0 pypi colorama 0.4.6 pypi_0 pypi coloredlogs 15.0.1 pypi_0 pypi comm 0.2.1 py311h06a4308_0 defaults dataclasses-json 0.6.7 pypi_0 pypi datasets 3.6.0 pypi_0 pypi debugpy 1.8.11 py311h6a678d5_0 defaults decorator 5.1.1 pyhd3eb1b0_0 defaults deprecated 1.2.18 pypi_0 pypi dill 0.3.8 pypi_0 pypi dirtyjson 1.0.8 pypi_0 pypi distro 1.9.0 pypi_0 pypi durationpy 0.10 pypi_0 pypi et_xmlfile 1.1.0 py311h06a4308_0 defaults executing 0.8.3 pyhd3eb1b0_0 defaults faiss-cpu 1.10.0 pypi_0 pypi fastapi 0.115.9 pypi_0 pypi filelock 3.18.0 pypi_0 pypi filetype 1.2.0 pypi_0 pypi flatbuffers 25.2.10 pypi_0 pypi frozenlist 1.5.0 pypi_0 pypi fsspec 2025.3.0 pypi_0 pypi google-auth 2.40.3 pypi_0 pypi googleapis-common-protos 1.70.0 pypi_0 pypi greenlet 3.1.1 pypi_0 pypi griffe 1.7.2 pypi_0 pypi grpcio 1.72.1 pypi_0 pypi h11 0.14.0 pypi_0 pypi hf-xet 1.1.3 pypi_0 pypi httpcore 1.0.7 pypi_0 pypi httptools 0.6.4 pypi_0 pypi httpx 0.28.1 pypi_0 pypi huggingface-hub 0.32.4 pypi_0 pypi humanfriendly 10.0 pypi_0 pypi idna 3.10 pypi_0 pypi importlib-metadata 8.7.0 pypi_0 pypi importlib-resources 6.5.2 pypi_0 pypi intel-openmp 2023.1.0 hdb19cb5_46306 defaults ipykernel 6.29.5 py311h06a4308_1 defaults ipython 8.30.0 py311h06a4308_0 defaults jedi 0.19.2 py311h06a4308_0 defaults jieba 0.42.1 pypi_0 pypi jinja2 3.1.6 pypi_0 pypi jiter 0.9.0 pypi_0 pypi joblib 1.4.2 py311h06a4308_0 defaults jsonschema 4.24.0 pypi_0 pypi jsonschema-specifications 2025.4.1 pypi_0 pypi jupyter_client 8.6.3 py311h06a4308_0 defaults jupyter_core 5.7.2 py311h06a4308_0 defaults kubernetes 32.0.1 pypi_0 pypi ld_impl_linux-64 2.40 h12ee557_0 defaults libffi 3.4.4 h6a678d5_1 defaults libgcc-ng 11.2.0 h1234567_1 defaults libgfortran-ng 11.2.0 h00389a5_1 defaults libgfortran5 11.2.0 h1234567_1 defaults libgomp 11.2.0 h1234567_1 defaults libsodium 1.0.18 h7b6447c_0 defaults libstdcxx-ng 11.2.0 h1234567_1 defaults libuuid 1.41.5 h5eee18b_0 defaults llama-cloud 0.1.18 pypi_0 pypi llama-cloud-services 0.6.9 pypi_0 pypi llama-index 0.12.40 pypi_0 pypi llama-index-agent-openai 0.4.9 pypi_0 pypi llama-index-cli 0.4.3 pypi_0 pypi llama-index-core 0.12.40 pypi_0 pypi llama-index-embeddings-huggingface 0.5.4 pypi_0 pypi llama-index-embeddings-openai 0.3.1 pypi_0 pypi llama-index-indices-managed-llama-cloud 0.6.11 pypi_0 pypi llama-index-llms-huggingface 0.5.0 pypi_0 pypi llama-index-llms-ollama 0.5.4 pypi_0 pypi llama-index-llms-openai 0.4.3 pypi_0 pypi llama-index-multi-modal-llms-openai 0.5.1 pypi_0 pypi llama-index-program-openai 0.3.2 pypi_0 pypi llama-index-question-gen-openai 0.3.1 pypi_0 pypi llama-index-readers-file 0.4.7 pypi_0 pypi llama-index-readers-llama-parse 0.4.0 pypi_0 pypi llama-index-vector-stores-chroma 0.4.1 pypi_0 pypi llama-index-vector-stores-faiss 0.4.0 pypi_0 pypi llama-parse 0.6.4.post1 pypi_0 pypi loguru 0.7.3 pypi_0 pypi markdown-it-py 3.0.0 pypi_0 pypi markupsafe 3.0.2 pypi_0 pypi marshmallow 3.26.1 pypi_0 pypi matplotlib-inline 0.1.6 py311h06a4308_0 defaults mdurl 0.1.2 pypi_0 pypi mkl 2023.1.0 h213fc3f_46344 defaults mkl-service 2.4.0 py311h5eee18b_2 defaults mkl_fft 1.3.11 py311h5eee18b_0 defaults mkl_random 1.2.8 py311ha02d727_0 defaults mmh3 5.1.0 pypi_0 pypi mpmath 1.3.0 pypi_0 pypi multidict 6.2.0 pypi_0 pypi multiprocess 0.70.16 pypi_0 pypi mypy-extensions 1.0.0 pypi_0 pypi ncurses 6.4 h6a678d5_0 defaults nest-asyncio 1.6.0 py311h06a4308_0 defaults networkx 3.4.2 pypi_0 pypi nltk 3.9.1 pypi_0 pypi numexpr 2.10.1 py311h3c60e43_0 defaults numpy 2.0.1 py311h08b1b3b_1 defaults numpy-base 2.0.1 py311hf175353_1 defaults nvidia-cublas-cu12 12.4.5.8 pypi_0 pypi nvidia-cuda-cupti-cu12 12.4.127 pypi_0 pypi nvidia-cuda-nvrtc-cu12 12.4.127 pypi_0 pypi nvidia-cuda-runtime-cu12 12.4.127 pypi_0 pypi nvidia-cudnn-cu12 9.1.0.70 pypi_0 pypi nvidia-cufft-cu12 11.2.1.3 pypi_0 pypi nvidia-curand-cu12 10.3.5.147 pypi_0 pypi nvidia-cusolver-cu12 11.6.1.9 pypi_0 pypi nvidia-cusparse-cu12 12.3.1.170 pypi_0 pypi nvidia-cusparselt-cu12 0.6.2 pypi_0 pypi nvidia-nccl-cu12 2.21.5 pypi_0 pypi nvidia-nvjitlink-cu12 12.4.127 pypi_0 pypi nvidia-nvtx-cu12 12.4.127 pypi_0 pypi oauthlib 3.2.2 pypi_0 pypi ollama 0.4.9 pypi_0 pypi onnxruntime 1.22.0 pypi_0 pypi openai 1.84.0 pypi_0 pypi openpyxl 3.1.5 py311h5eee18b_1 defaults openssl 3.0.16 h5eee18b_0 defaults opentelemetry-api 1.34.0 pypi_0 pypi opentelemetry-exporter-otlp-proto-common 1.34.0 pypi_0 pypi opentelemetry-exporter-otlp-proto-grpc 1.34.0 pypi_0 pypi opentelemetry-instrumentation 0.55b0 pypi_0 pypi opentelemetry-instrumentation-asgi 0.55b0 pypi_0 pypi opentelemetry-instrumentation-fastapi 0.55b0 pypi_0 pypi opentelemetry-proto 1.34.0 pypi_0 pypi opentelemetry-sdk 1.34.0 pypi_0 pypi opentelemetry-semantic-conventions 0.55b0 pypi_0 pypi opentelemetry-util-http 0.55b0 pypi_0 pypi orjson 3.10.18 pypi_0 pypi overrides 7.7.0 pypi_0 pypi packaging 24.2 py311h06a4308_0 defaults pandas 2.2.3 py311h6a678d5_0 defaults parso 0.8.4 py311h06a4308_0 defaults pexpect 4.8.0 pyhd3eb1b0_3 defaults pillow 11.1.0 pypi_0 pypi pip 25.0 py311h06a4308_0 defaults platformdirs 4.3.7 pypi_0 pypi posthog 4.2.0 pypi_0 pypi prompt-toolkit 3.0.43 py311h06a4308_0 defaults prompt_toolkit 3.0.43 hd3eb1b0_0 defaults propcache 0.3.1 pypi_0 pypi protobuf 5.29.5 pypi_0 pypi psutil 5.9.0 py311h5eee18b_1 defaults ptyprocess 0.7.0 pyhd3eb1b0_2 defaults pure_eval 0.2.2 pyhd3eb1b0_0 defaults pyarrow 20.0.0 pypi_0 pypi pyasn1 0.6.1 pypi_0 pypi pyasn1-modules 0.4.2 pypi_0 pypi pydantic 2.11.0 pypi_0 pypi pydantic-core 2.33.0 pypi_0 pypi pygments 2.15.1 py311h06a4308_1 defaults pypdf 5.4.0 pypi_0 pypi pypika 0.48.9 pypi_0 pypi pyproject-hooks 1.2.0 pypi_0 pypi python 3.11.11 he870216_0 defaults python-dateutil 2.9.0post0 py311h06a4308_2 defaults python-dotenv 1.1.0 pypi_0 pypi python-tzdata 2023.3 pyhd3eb1b0_0 defaults pytz 2024.1 py311h06a4308_0 defaults pyyaml 6.0.2 pypi_0 pypi pyzmq 26.2.0 py311h6a678d5_0 defaults readline 8.2 h5eee18b_0 defaults referencing 0.36.2 pypi_0 pypi regex 2024.11.6 pypi_0 pypi requests 2.32.3 pypi_0 pypi requests-oauthlib 2.0.0 pypi_0 pypi rich 14.0.0 pypi_0 pypi rpds-py 0.25.1 pypi_0 pypi rsa 4.9.1 pypi_0 pypi safetensors 0.5.3 pypi_0 pypi scikit-learn 1.6.1 py311h6a678d5_0 defaults scipy 1.15.2 py311h23a989f_1 defaults sentence-transformers 4.0.2 pypi_0 pypi setuptools 75.8.0 py311h06a4308_0 defaults shellingham 1.5.4 pypi_0 pypi six 1.16.0 pyhd3eb1b0_1 defaults sniffio 1.3.1 pypi_0 pypi soupsieve 2.6 pypi_0 pypi sqlalchemy 2.0.40 pypi_0 pypi sqlite 3.45.3 h5eee18b_0 defaults stack_data 0.2.0 pyhd3eb1b0_0 defaults starlette 0.45.3 pypi_0 pypi striprtf 0.0.26 pypi_0 pypi sympy 1.13.1 pypi_0 pypi tbb 2021.8.0 hdb19cb5_0 defaults tenacity 9.1.2 pypi_0 pypi text2vec 1.3.5 pypi_0 pypi threadpoolctl 3.5.0 py311h92b7b1e_0 defaults tiktoken 0.9.0 pypi_0 pypi tk 8.6.14 h39e8969_0 defaults tokenizers 0.21.1 pypi_0 pypi torch 2.6.0 pypi_0 pypi tornado 6.4.2 py311h5eee18b_0 defaults tqdm 4.67.1 pypi_0 pypi traitlets 5.14.3 py311h06a4308_0 defaults transformers 4.51.1 pypi_0 pypi triton 3.2.0 pypi_0 pypi typer 0.16.0 pypi_0 pypi typing-extensions 4.13.0 pypi_0 pypi typing-inspect 0.9.0 pypi_0 pypi typing-inspection 0.4.0 pypi_0 pypi typing_extensions 4.12.2 py311h06a4308_0 defaults tzdata 2025a h04d1e81_0 defaults urllib3 2.3.0 pypi_0 pypi uvicorn 0.34.3 pypi_0 pypi uvloop 0.21.0 pypi_0 pypi watchfiles 1.0.5 pypi_0 pypi wcwidth 0.2.5 pyhd3eb1b0_0 defaults websocket-client 1.8.0 pypi_0 pypi websockets 15.0.1 pypi_0 pypi wheel 0.45.1 py311h06a4308_0 defaults wrapt 1.17.2 pypi_0 pypi xxhash 3.5.0 pypi_0 pypi xz 5.6.4 h5eee18b_1 defaults yarl 1.19.0 pypi_0 pypi zeromq 4.3.5 h6a678d5_0 defaults zipp 3.22.0 pypi_0 pypi zlib 1.2.13 h5eee18b_1 defaults

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│ ValueError: Weights only load failed. This file can still be loaded, to │ │ do so you have two options, do those steps only if you trust the │ │ source of the checkpoint. │ │ (1) In PyTorch 2.6, we changed the default value of the │ │ `weights_only` argument in `torch.load` from `False` to `True`. │ │ Re-running `torch.load` with `weights_only` set to `False` will likely │ │ succeed, but it can result in arbitrary code execution. Do it only if │ │ you got the file from a trusted source. │ │ (2) Alternatively, to load with `weights_only=True` please │ │ check the recommended steps in the following error message. │ │ WeightsUnpickler error: Unsupported global: GLOBAL │ │ ultralytics.nn.tasks.DetectionModel was not an allowed global by │ │ default. Please use │ │ `torch.serialization.add_safe_globals([ultralytics.nn.tasks.DetectionMo │ │ del])` or the │ │ `torch.serialization.safe_globals([ultralytics.nn.tasks.DetectionModel] │ │ )` context manager to allowlist this global if you trust this │ │ class/function. │ │ │ │ Check the documentation of torch.load to learn more about types │ │ accepted by default with weights_only │ │ https://pytorch.org/docs/stable/generated/torch.load.html. │ │ File corrupted: │ │ F:\sd-webui-forge-aki-v1.0\.cache\sdwebuilauncher\hfmirror\refs\Bingsu\ │ │ adetailer\main\face_yolov8n.pt │ │ Forge has tried to move the corrupted file to │ │ F:\sd-webui-forge-aki-v1.0\.cache\sdwebuilauncher\hfmirror\refs\Bingsu\ │ │ adetailer\main\face_yolov8n.pt.corrupted │ │ You may try again now and Forge will download models again.

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WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 47/75 3.62G 2.729 10.58 0 1.909 3.07 427 640: 100%|██████████| 2/2 [00:00<00:00, 3.69it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 22.18it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 48/75 3.75G 2.705 10.59 0 1.99 3.112 412 640: 100%|██████████| 2/2 [00:00<00:00, 3.45it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 23.20it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 49/75 3.62G 2.562 10.5 0 1.906 3.073 446 640: 100%|██████████| 2/2 [00:00<00:00, 3.70it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 24.76it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 50/75 3.63G 2.665 10.56 0 1.88 2.997 393 640: 100%|██████████| 2/2 [00:00<00:00, 3.35it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 26.07it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 51/75 3.63G 2.58 10.54 0 1.906 3.055 427 640: 100%|██████████| 2/2 [00:00<00:00, 3.72it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 16.96it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 52/75 3.75G 2.725 10.59 0 1.935 3.002 496 640: 100%|██████████| 2/2 [00:00<00:00, 3.20it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 23.49it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 53/75 3.74G 2.6 10.5 0 1.807 2.961 458 640: 100%|██████████| 2/2 [00:00<00:00, 3.52it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 18.04it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 54/75 3.74G 2.599 10.51 0 1.777 2.895 474 640: 100%|██████████| 2/2 [00:00<00:00, 3.44it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 21.26it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 55/75 3.63G 2.544 10.5 0 1.791 2.949 384 640: 100%|██████████| 2/2 [00:00<00:00, 3.81it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 22.14it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 56/75 3.62G 2.477 10.48 0 1.795 2.92 364 640: 100%|██████████| 2/2 [00:00<00:00, 3.32it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 25.87it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 57/75 3.63G 2.583 10.45 0 1.769 2.872 459 640: 100%|██████████| 2/2 [00:00<00:00, 3.80it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 24.48it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 58/75 3.7G 2.452 10.49 0 1.804 2.989 405 640: 100%|██████████| 2/2 [00:00<00:00, 3.23it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 20.85it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 59/75 3.63G 2.533 10.47 0 1.724 2.816 515 640: 100%|██████████| 2/2 [00:00<00:00, 3.10it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 13.42it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 60/75 3.63G 2.506 10.49 0 1.727 2.819 433 640: 100%|██████████| 2/2 [00:00<00:00, 3.29it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 20.89it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 61/75 3.7G 2.471 10.37 0 1.768 2.905 412 640: 100%|██████████| 2/2 [00:00<00:00, 3.78it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 25.00it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 62/75 3.63G 2.453 10.48 0 1.754 2.858 421 640: 100%|██████████| 2/2 [00:00<00:00, 3.48it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 23.97it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 63/75 3.63G 2.488 10.43 0 1.707 2.76 521 640: 100%|██████████| 2/2 [00:00<00:00, 3.76it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 15.79it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 64/75 3.71G 2.335 10.39 0 1.699 2.83 416 640: 100%|██████████| 2/2 [00:00<00:00, 3.33it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 19.33it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 65/75 3.72G 2.402 10.35 0 1.669 2.785 564 640: 100%|██████████| 2/2 [00:00<00:00, 3.38it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 24.36it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Closing dataloader mosaic FlashAttention is not available on this device. Using scaled_dot_product_attention instead. FlashAttention is not available on this device. Using scaled_dot_product_attention instead. FlashAttention is not available on this device. Using scaled_dot_product_attention instead. FlashAttention is not available on this device. Using scaled_dot_product_attention instead. FlashAttention is not available on this device. Using scaled_dot_product_attention instead. FlashAttention is not available on this device. Using scaled_dot_product_attention instead. FlashAttention is not available on this device. Using scaled_dot_product_attention instead. FlashAttention is not available on this device. Using scaled_dot_product_attention instead. Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 66/75 3.61G 2.276 10.35 0 2.043 2.844 224 640: 100%|██████████| 2/2 [00:00<00:00, 2.14it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 8.10it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 67/75 3.77G 2.274 10.36 0 1.983 2.94 223 640: 100%|██████████| 2/2 [00:00<00:00, 2.16it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 4.43it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 68/75 3.77G 2.287 10.37 0 1.982 3.006 222 640: 100%|██████████| 2/2 [00:00<00:00, 2.40it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.17it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 69/75 3.61G 2.202 10.31 0 1.9 3.045 222 640: 100%|██████████| 2/2 [00:00<00:00, 3.81it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 21.94it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 70/75 3.61G 2.273 10.36 0 1.942 2.803 222 640: 100%|██████████| 2/2 [00:00<00:00, 3.46it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 23.22it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 71/75 3.61G 2.236 10.35 0 1.895 3.091 221 640: 100%|██████████| 2/2 [00:00<00:00, 3.84it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 22.78it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 72/75 3.61G 2.241 10.33 0 1.822 2.774 222 640: 100%|██████████| 2/2 [00:00<00:00, 3.27it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 20.16it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 73/75 3.61G 2.225 10.32 0 1.831 2.853 223 640: 100%|██████████| 2/2 [00:00<00:00, 3.75it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 23.78it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 74/75 3.61G 2.16 10.28 0 1.809 2.826 224 640: 100%|██████████| 2/2 [00:00<00:00, 3.52it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 21.35it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Epoch GPU_mem box_loss pose_loss kobj_loss cls_loss dfl_loss Instances Size 75/75 3.61G 2.248 10.31 0 1.798 2.688 224 640: 100%|██████████| 2/2 [00:00<00:00, 3.67it/s] Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 21.85it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels 75 epochs completed in 0.038 hours. Optimizer stripped from runs\pose\yolo12_pig_pose3\weights\last.pt, 5.8MB Optimizer stripped from runs\pose\yolo12_pig_pose3\weights\best.pt, 5.8MB Validating runs\pose\yolo12_pig_pose3\weights\best.pt... Ultralytics 8.3.63 🚀 Python-3.12.11 torch-2.6.0+cu124 CUDA:0 (NVIDIA GeForce RTX 4060 Laptop GPU, 8188MiB) YOLO12-pose summary (fused): 395 layers, 2,698,523 parameters, 0 gradients, 6.9 GFLOPs Class Images Instances Box(P R mAP50 mAP50-95) Pose(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 32.26it/s all 8 0 0 0 0 0 0 0 0 0 WARNING ⚠️ no labels found in pose set, can not compute metrics without labels Speed: 0.2ms preprocess, 1.7ms inference, 0.0ms loss, 0.8ms postprocess per image Results saved to runs\pose\yolo12_pig_pose3 💡 Learn more at https://docs.ultralytics.com/modes/train 怎么办

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