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解决KB2999226安装失败的终极方案

下载需积分: 50 | 571.66MB | 更新于2024-11-14 | 110 浏览量 | 20 下载量 举报 1 收藏
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KB2999226是微软发布的知识库编号,通常指代一个特定的更新。在某些情况下,用户可能会遇到无法安装这个更新的问题。本文将探讨可能的原因及解决方案。 首先,需要了解的是,安装Windows更新失败可能是由多种原因造成的。这可能包括系统文件损坏、安装程序错误、系统设置问题、磁盘空间不足、权限不足或与已安装的软件存在兼容性问题。 若要解决无法安装kb2999226.zip的问题,可以从以下几个方面进行排查和解决: 1. 系统文件检查: 在Windows中,可以使用系统文件检查器(SFC)扫描并修复损坏的系统文件。打开命令提示符(以管理员身份),然后输入`sfc /scannow`命令,等待扫描和修复过程完成。 2. 确保系统更新: 有时候,其他更新可能依赖于特定的前置更新。确保你的Windows系统是最新版本,可以通过Windows Update手动检查更新,或者设置自动更新。 3. 清理临时文件: 临时文件可能会影响更新安装。可以使用Windows内置的磁盘清理工具,或手动清理临时文件夹,为安装更新腾出空间。 4. 检查磁盘空间: 确保安装更新的分区有足够的空间。通常来说,系统盘需要至少20GB的可用空间。 5. 以管理员权限运行安装程序: 尝试以管理员权限运行安装程序。右键点击安装文件,选择“以管理员身份运行”。 6. 检查系统兼容性: 确认当前操作系统版本是否支持该更新。有时候,某些更新可能只适用于特定版本的Windows。 7. 检查第三方软件: 关闭或卸载可能会与Windows更新冲突的第三方软件,如杀毒软件、系统优化工具等。 8. 使用命令行安装更新: 有时,使用Windows Update的命令行工具(如`wuauclt.exe`)可能会有所帮助。 9. 系统还原: 如果是在最近的更改之后出现的问题,可以尝试使用系统还原功能,回退到之前的系统还原点。 10. 创建新的用户账户: 在某些情况下,创建一个新的用户账户并尝试从该账户安装更新,可能会解决问题。 以上步骤可以帮助解决无法安装kb2999226.zip的问题。如果在尝试了上述所有方法后问题仍未得到解决,可能需要考虑更深入的技术支持或联系微软客服寻求帮助。 【压缩包子文件的文件名称列表】中提供的"TortoiseSVN"是一个源代码管理工具,它允许用户管理文件和目录版本。虽然它与解决kb2999226.zip的安装问题没有直接关联,但它可能是在尝试解决问题时使用的辅助工具,比如在处理更新相关的代码库或配置文件时。而"终极解决无法安装kb2999226"则可能是关于该问题的一份详细解决报告或指南的文件名。"kb2999226.zip"显然是本文讨论的补丁包。"终极解决无法安装kb2999226"和"kb2999226.zip"文件名的出现,表明该压缩包可能包含了关于如何解决安装失败问题的详细说明或必要工具。"

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vae@vae-ASUS-TUF-Gaming-A15-FA507UU-FA507UU:~/下载$ python3 -c "import site; print('\n'.join(site.getsitepackages()))" /usr/local/lib/python3.8/dist-packages /usr/lib/python3/dist-packages /usr/lib/python3.8/dist-packages vae@vae-ASUS-TUF-Gaming-A15-FA507UU-FA507UU:~/下载$ find ~/.local/lib /usr/local/lib -name '*qpoases*.so' 2>/dev/null vae@vae-ASUS-TUF-Gaming-A15-FA507UU-FA507UU:~/下载$ which python3 /usr/bin/python3 vae@vae-ASUS-TUF-Gaming-A15-FA507UU-FA507UU:~/下载$ which pip3 /usr/bin/pip3 vae@vae-ASUS-TUF-Gaming-A15-FA507UU-FA507UU:~/下载$ ls -l $(which python3) $(which pip3) -rwxr-xr-x 1 root root 367 10月 29 2024 /usr/bin/pip3 lrwxrwxrwx 1 root root 9 7月 9 15:00 /usr/bin/python3 -> python3.8 vae@vae-ASUS-TUF-Gaming-A15-FA507UU-FA507UU:~/下载$ pip3 uninstall -y cmeel-qpoases /usr/bin/pip3:6: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html from pkg_resources import load_entry_point Found existing installation: cmeel-qpoases 3.2.1 Uninstalling cmeel-qpoases-3.2.1: Successfully uninstalled cmeel-qpoases-3.2.1 vae@vae-ASUS-TUF-Gaming-A15-FA507UU-FA507UU:~/下载$ pip3 install --force-reinstall --no-cache-dir cmeel-qpoases /usr/bin/pip3:6: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html from pkg_resources import load_entry_point Collecting cmeel-qpoases Downloading cmeel_qpoases-3.2.1-2-py3-none-manylinux_2_28_x86_64.whl (1.6 MB) |████████████████████████████████| 1.6 MB 628 kB/s Collecting cmeel Downloading cmeel-0.57.3-py3-none-any.whl (20 kB) Collecting tomli>=2.1.0; python_full_version < "3.11" Downloading tomli-2.2.1-py3-none-any.whl (14 kB) Installing collected packages: tomli, cmeel, cmeel-qpoases Attempting uninstall: tomli Found existing installation: tomli 2.2.1 Uninstalling tomli-2.2.1: Successfully uninstalled tomli-2.2.1 Attempting uninstall: cmeel Found existing installation: cmeel 0.57.3 Uninstalling cmeel-0.57.3: Successfully uninstalled cmeel-0.57.3 Successfully installed cmeel-0.57.3 cmeel-qpoases-3.2.1 tomli-2.2.1 vae@vae-ASUS-TUF-Gaming-A15-FA507UU-FA507UU:~/下载$ python3 -c "import sys; from importlib.util import find_spec; \ > print(f'模块存在: {find_spec("qpoases") is not None}')" Traceback (most recent call last): File "<string>", line 1, in <module> NameError: name 'qpoases' is not defined vae@vae-ASUS-TUF-Gaming-A15-FA507UU-FA507UU:~/下载$ nano fix_import.py vae@vae-ASUS-TUF-Gaming-A15-FA507UU-FA507UU:~/下载$ python3 fix_import.py ✅ 添加路径: /usr/lib/python3.8/dist-packages ❌ 导入失败: No module named 'qpoases' 当前sys.path: - /usr/lib/python3.8/dist-packages - /home/vae/下载 - /opt/ros/noetic/lib/python3/dist-packages - /usr/lib/python38.zip - /usr/lib/python3.8 - /usr/lib/python3.8/lib-dynload - /home/vae/.local/lib/python3.8/site-packages - /home/vae/.local/lib/python3.8/site-packages/cmeel.prefix/lib/python3.8/site-packages - /usr/local/lib/python3.8/dist-packages - /usr/lib/python3/dist-packages vae@vae-ASUS-TUF-Gaming-A15-FA507UU-FA507UU:~/下载$ MOD_FILE=$(find ~/.local/lib /usr/local/lib -name '*qpoases*.so' 2>/dev/null | head -1) vae@vae-ASUS-TUF-Gaming-A15-FA507UU-FA507UU:~/下载$ if [ -n "$ MOD_FILE" ]; then > echo "🔍 分析模块: $ MOD_FILE" > ldd "$ MOD_FILE" | grep -E "not found|=>" > else > echo "❌ 未找到qpoases模块文件" > fi 🔍 分析模块: $ MOD_FILE ldd: ./$ MOD_FILE: 没有那个文件或目录 vae@vae-ASUS-TUF-Gaming-A15-FA507UU-FA507UU:~/下载$ sudo apt-get install -y \ > libopenblas-base \ > liblapack3 \ > libgfortran5 \ > libstdc++6 \ > libquadmath0 [sudo] vae 的密码: 正在读取软件包列表... 完成 正在分析软件包的依赖关系树 正在读取状态信息... 完成 liblapack3 已经是最新版 (3.9.0-1build1)。 libgfortran5 已经是最新版 (10.5.0-1ubuntu1~20.04)。 libquadmath0 已经是最新版 (10.5.0-1ubuntu1~20.04)。 libquadmath0 已设置为手动安装。 libstdc++6 已经是最新版 (10.5.0-1ubuntu1~20.04)。 libstdc++6 已设置为手动安装。 将会同时安装下列软件: libopenblas0 libopenblas0-pthread 下列【新】软件包将被安装: libopenblas-base libopenblas0 libopenblas0-pthread 升级了 0 个软件包,新安装了 3 个软件包,要卸载 0 个软件包,有 0 个软件包未被升级。 需要下载 9,177 kB 的归档。 解压缩后会消耗 95.8 MB 的额外空间。 获取:1 http://mirrors.aliyun.com/ubuntu focal/universe amd64 libopenblas0-pthread amd64 0.3.8+ds-1 [9,167 kB] 获取:2 http://mirrors.aliyun.com/ubuntu focal/universe amd64 libopenblas0 amd64 0.3.8+ds-1 [5,864 B] 获取:3 http://mirrors.aliyun.com/ubuntu focal/universe amd64 libopenblas-base amd64 0.3.8+ds-1 [4,748 B] 已下载 9,177 kB,耗时 2秒 (5,305 kB/s) 正在选中未选择的软件包 libopenblas0-pthread:amd64。 (正在读取数据库 ... 系统当前共安装有 276917 个文件和目录。) 准备解压 .../libopenblas0-pthread_0.3.8+ds-1_amd64.deb ... 正在解压 libopenblas0-pthread:amd64 (0.3.8+ds-1) ... 正在选中未选择的软件包 libopenblas0:amd64。 准备解压 .../libopenblas0_0.3.8+ds-1_amd64.deb ... 正在解压 libopenblas0:amd64 (0.3.8+ds-1) ... 正在选中未选择的软件包 libopenblas-base:amd64。 准备解压 .../libopenblas-base_0.3.8+ds-1_amd64.deb ... 正在解压 libopenblas-base:amd64 (0.3.8+ds-1) ... 正在设置 libopenblas0-pthread:amd64 (0.3.8+ds-1) ... update-alternatives: 使用 /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 来在自动模式中提供 /usr/lib/x86_64-linux-gnu/libblas.so.3 (libblas.so.3-x86_64-linux-gnu) update-alternatives: 使用 /usr/lib/x86_64-linux-gnu/openblas-pthread/liblapack.so.3 来在自动模式中提供 /usr/lib/x86_64-linux-gnu/liblapack.so.3 (liblapack.so.3-x86_64-linux-gnu) update-alternatives: 使用 /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblas.so.0 来在自动模式中提供 /usr/lib/x86_64-linux-gnu/libopenblas.so.0 (libopenblas.so.0-x86_64-linux-gnu) 正在设置 libopenblas0:amd64 (0.3.8+ds-1) ... 正在设置 libopenblas-base:amd64 (0.3.8+ds-1) ... 正在处理用于 libc-bin (2.31-0ubuntu9.18) 的触发器 ... vae@vae-ASUS-TUF-Gaming-A15-FA507UU-FA507UU:~/下载$ pip3 install --force-reinstall --no-cache-dir cmeel-qpoases /usr/bin/pip3:6: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html from pkg_resources import load_entry_point Collecting cmeel-qpoases Downloading cmeel_qpoases-3.2.1-2-py3-none-manylinux_2_28_x86_64.whl (1.6 MB) |████████████████████████████████| 1.6 MB 565 kB/s Collecting cmeel Downloading cmeel-0.57.3-py3-none-any.whl (20 kB) Collecting tomli>=2.1.0; python_full_version < "3.11" Downloading tomli-2.2.1-py3-none-any.whl (14 kB) Installing collected packages: tomli, cmeel, cmeel-qpoases Attempting uninstall: tomli Found existing installation: tomli 2.2.1 Uninstalling tomli-2.2.1: Successfully uninstalled tomli-2.2.1 Attempting uninstall: cmeel Found existing installation: cmeel 0.57.3 Uninstalling cmeel-0.57.3: Successfully uninstalled cmeel-0.57.3 Attempting uninstall: cmeel-qpoases Found existing installation: cmeel-qpoases 3.2.1 Uninstalling cmeel-qpoases-3.2.1: Successfully uninstalled cmeel-qpoases-3.2.1 Successfully installed cmeel-0.57.3 cmeel-qpoases-3.2.1 tomli-2.2.1 vae@vae-ASUS-TUF-Gaming-A15-FA507UU-FA507UU:~/下载$ python3 -c "import sys; from importlib.util import find_spec; \ > print(f'模块存在: {find_spec("qpoases") is not None}')" Traceback (most recent call last): File "<string>", line 1, in <module> NameError: name 'qpoases' is not defined

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PS C:\Users\Administrator> # CurlTools.psm1 >> # ============== >> # 完全修复的模块架构 >> >> # 模块初始化块 >> $script:Config = $null >> $script:CurlPath = $null >> $script:ConfigDir = $null >> $script:ConfigPath = $null >> $script:ModuleInitialized = $false >> >> # 检测操作系统 >> function Get-Platform { >> if ($PSVersionTable.PSEdition -eq "Core") { >> if ($IsWindows) { "Windows" } >> elseif ($IsLinux) { "Linux" } >> elseif ($IsMacOS) { "macOS" } >> } else { >> if ($env:OS -like "Windows*") { "Windows" } >> elseif (Test-Path "/etc/os-release") { "Linux" } >> else { "macOS" } >> } >> } >> >> # 获取配置目录 >> function Get-ConfigDir { >> $platform = Get-Platform >> switch ($platform) { >> "Linux" { "$HOME/.config/curltools" } >> "macOS" { "$HOME/Library/Application Support/CurlTools" } >> default { "$env:APPDATA\CurlTools" } >> } >> } >> >> # 核心初始化函数 >> function Initialize-Module { >> try { >> # 设置配置目录 >> $script:ConfigDir = Get-ConfigDir >> if (-not (Test-Path $script:ConfigDir)) { >> New-Item -ItemType Directory -Path $script:ConfigDir -Force | Out-Null >> } >> $script:ConfigPath = Join-Path $script:ConfigDir "config.json" >> >> # 加载或创建配置 >> if (Test-Path $script:ConfigPath) { >> $script:Config = Get-Content $script:ConfigPath | ConvertFrom-Json >> } >> >> if (-not $script:Config) { >> $script:Config = [PSCustomObject]@{ >> CurlPath = $null >> LastUpdate = (Get-Date).ToString("o") >> AutoUpdate = $true >> } >> } >> >> # 查找或安装curl >> if (-not $script:Config.CurlPath -or -not (Test-Path $script:Config.CurlPath)) { >> $script:Config.CurlPath = Find-CurlPath >> } >> >> # 保存配置 >> $script:Config | ConvertTo-Json | Set-Content $script:ConfigPath -Force >> $script:CurlPath = $script:Config.CurlPath >> $script:ModuleInitialized = $true >> >> return $true >> } catch { >> Write-Warning "模块初始化失败: $_" >> return $false >> } >> } >> >> # 查找curl路径 >> function Find-CurlPath { >> $platform = Get-Platform >> $exeName = if ($platform -eq "Windows") { "curl.exe" } else { "curl" } >> >> # 检查系统PATH >> $pathCurl = Get-Command $exeName -ErrorAction SilentlyContinue >> if ($pathCurl) { >> return $pathCurl.Source | Split-Path >> } >> >> # 平台特定路径 >> $searchPaths = switch ($platform) { >> "Windows" { >> @( >> "C:\Windows\System32", >> "C:\Program Files\curl\bin", >> "${env:ProgramFiles}\Git\usr\bin" >> ) >> } >> "Linux" { @("/usr/bin", "/usr/local/bin") } >> "macOS" { @("/usr/local/bin", "/opt/homebrew/bin") } >> } >> >> foreach ($path in $searchPaths) { >> $fullPath = Join-Path $path $exeName >> if (Test-Path $fullPath) { >> return $path >> } >> } >> >> # 终极方案:自动安装 >> return Install-Curl >> } >> >> # curl安装函数 >> function Install-Curl { >> $platform = Get-Platform >> try { >> if ($platform -eq "Windows") { >> $tempDir = [System.IO.Path]::GetTempPath() >> $curlZip = Join-Path $tempDir "curl.zip" >> $curlUrl = "https://curl.se/windows/dl-8.8.0_5/curl-8.8.0_5-win64-mingw.zip" >> >> # 使用安全下载函数 >> Invoke-SecureDownload -Url $curlUrl -OutputPath $curlZip >> >> Expand-Archive $curlZip -DestinationPath $tempDir -Force >> return Join-Path $tempDir "curl-8.8.0_5-win64-mingw\bin" >> } >> else { >> if ($platform -eq "Linux") { >> if (Get-Command apt -ErrorAction SilentlyContinue) { >> Start-Process -Wait -FilePath "sudo" -ArgumentList "apt", "update" >> Start-Process -Wait -FilePath "sudo" -ArgumentList "apt", "install", "-y", "curl" >> } elseif (Get-Command yum -ErrorAction SilentlyContinue) { >> Start-Process -Wait -FilePath "sudo" -ArgumentList "yum", "install", "-y", "curl" >> } >> return "/usr/bin" >> } >> else { >> if (-not (Get-Command brew -ErrorAction SilentlyContinue)) { >> # 使用安全下载安装Homebrew >> $installScript = Join-Path $env:TEMP "brew_install.sh" >> Invoke-SecureDownload -Url "https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh" -OutputPath $installScript >> & "/bin/bash" $installScript >> } >> Start-Process -Wait -FilePath "brew" -ArgumentList "install", "curl" >> return "/usr/local/bin" >> } >> } >> } catch { >> throw "无法自动安装curl: $_" >> } >> } >> >> # ========== 公共函数 ========== >> function Get-CurlPath { >> Ensure-ModuleInitialized >> return $script:CurlPath >> } >> >> function Set-CurlPath { >> param( >> [Parameter(Mandatory=$true)] >> [ValidateScript({Test-Path $_})] >> [string]$Path >> ) >> >> Ensure-ModuleInitialized >> $script:CurlPath = $Path >> $script:Config.CurlPath = $Path >> $script:Config | ConvertTo-Json | Set-Content $script:ConfigPath -Force >> Write-Host "已设置curl路径: $Path" -ForegroundColor Green >> } >> >> function Get-CurlVersion { >> Ensure-ModuleInitialized >> $exe = if ((Get-Platform) -eq "Windows") { "curl.exe" } else { "curl" } >> $curlExe = Join-Path $script:CurlPath $exe >> & $curlExe --version | Select-Object -First 1 >> } >> >> function Invoke-SecureDownload { >> param( >> [Parameter(Mandatory=$true)] >> [string]$Url, >> >> [Parameter(Mandatory=$true)] >> [string]$OutputPath, >> >> [string]$ExpectedHash, >> [string]$HashAlgorithm = "SHA256" >> ) >> >> try { >> Write-Verbose "下载文件: $Url" >> $ProgressPreference = 'SilentlyContinue' >> >> # 创建输出目录(如果不存在) >> $outputDir = [System.IO.Path]::GetDirectoryName($OutputPath) >> if (-not [string]::IsNullOrWhiteSpace($outputDir) -and -not (Test-Path $outputDir)) { >> New-Item -ItemType Directory -Path $outputDir -Force | Out-Null >> } >> >> # 下载文件 >> Invoke-WebRequest -Uri $Url -OutFile $OutputPath -UseBasicParsing -ErrorAction Stop >> >> # 验证文件是否成功下载 >> if (-not (Test-Path $OutputPath)) { >> throw "文件下载后未找到: $OutputPath" >> } >> >> # 验证哈希(如果提供) >> if (-not [string]::IsNullOrWhiteSpace($ExpectedHash)) { >> $actualHash = (Get-FileHash -Path $OutputPath -Algorithm $HashAlgorithm).Hash >> if ($actualHash -ne $ExpectedHash) { >> Remove-Item -Path $OutputPath -Force >> throw "文件哈希不匹配! 期望: $ExpectedHash, 实际: $actualHash" >> } >> } >> >> return $OutputPath >> } catch { >> # 清理部分下载的文件 >> if (Test-Path $OutputPath) { >> Remove-Item -Path $OutputPath -Force -ErrorAction SilentlyContinue >> } >> throw "下载失败: $($_.Exception.Message)" >> } >> } >> >> # ========== 辅助函数 ========== >> function Ensure-ModuleInitialized { >> if (-not $script:ModuleInitialized) { >> if (-not (Initialize-Module)) { >> throw "模块未正确初始化" >> } >> } >> } >> >> # ========== 模块初始化 ========== >> # 尝试初始化但不强制 >> try { >> Initialize-Module | Out-Null >> Write-Host "CurlTools 模块初始化成功" -ForegroundColor Green >> } catch { >> Write-Warning "模块初始化错误: $_" >> } >> CurlTools 模块初始化成功 PS C:\Users\Administrator> # 测试下载小文件 >> $testUrl = "https://raw.githubusercontent.com/PowerShell/PowerShell/master/README.md" >> $outputPath = "$env:TEMP\PowerShell_README.md" >> >> # 不带哈希验证 >> Invoke-SecureDownload -Url $testUrl -OutputPath $outputPath >> Get-Content $outputPath | Select-Object -First 5 >> >> # 带哈希验证(使用文件实际哈希) >> $expectedHash = (Get-FileHash -Path $outputPath -Algorithm SHA256).Hash >> Invoke-SecureDownload -Url $testUrl -OutputPath "$env:TEMP\PowerShell_README_Verified.md" -ExpectedHash $expectedHash >> + >> $moduleDir = "$env:USERPROFILE\Documents\WindowsPowerShell\Modules\CurlTools" >> $modulePath = "$moduleDir\CurlTools.psm1" >> >> # 保存修复后的模块代码 >> Set-Content -Path $modulePath -Value $fixedModuleCode -Force >> 所在位置 行:12 字符: 1 + + + ~ 赋值表达式无效。赋值运算符输入必须是能够接受赋值的对象,例如变量或属性。 + CategoryInfo : ParserError: (:) [], ParentContainsErrorRecordException + FullyQualifiedErrorId : InvalidLeftHandSide PS C:\Users\Administrator> $manifest = @" >> @{ >> ModuleVersion = '1.0.0' >> RootModule = 'CurlTools.psm1' >> FunctionsToExport = @( >> 'Get-CurlPath', >> 'Set-CurlPath', >> 'Get-CurlVersion', >> 'Invoke-SecureDownload' >> ) >> CompatiblePSEditions = @('Desktop', 'Core') >> GUID = 'c0d1b1e1-1a2b-4c3d-8e4f-9a0b1c2d3e4f' >> Author = 'Your Name' >> Description = 'Powerful curl tools for PowerShell' >> } >> "@ >> >> Set-Content -Path "$moduleDir\CurlTools.psd1" -Value $manifest >> PS C:\Users\Administrator> # 强制重新加载模块 >> Remove-Module CurlTools -ErrorAction SilentlyContinue >> Import-Module CurlTools -Force -Verbose >> >> # 测试所有功能 >> Get-CurlPath >> Get-CurlVersion >> >> # 测试安全下载 >> $testUrl = "https://github.com/PowerShell/PowerShell/raw/master/README.md" >> $outputPath = "$env:TEMP\PowerShell_README.md" >> Invoke-SecureDownload -Url $testUrl -OutputPath $outputPath >> >> # 验证文件 >> Get-Content $outputPath | Select-Object -First 5 >> 详细信息: 正在从路径“C:\Users\Administrator\Documents\WindowsPowerShell\Modules\CurlTools\CurlTools.psd1”加载模块。 详细信息: 正在从路径“C:\Users\Administrator\Documents\WindowsPowerShell\Modules\CurlTools\CurlTools.psm1”加载模块。 E:\curl-8.15.0_4-win64-mingw\bin curl 8.15.0 (x86_64-w64-mingw32) libcurl/8.15.0 LibreSSL/4.1.0 zlib/1.3.1.zlib-ng brotli/1.1.0 zstd/1.5.7 WinIDN libpsl/0.21.5 libssh2/1.11.1 nghttp2/1.66.0 ngtcp2/1.14.0 nghttp3/1.11.0

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(yolov8) F:\yolov8>yolo detect val data=widerperson.yaml model=yolov8n.pt Ultralytics 8.3.129 Python-3.9.21 torch-2.6.0+cu118 CUDA:0 (NVIDIA GeForce RTX 3050 Laptop GPU, 4096MiB) YOLOv8n summary (fused): 72 layers, 3,151,904 parameters, 0 gradients, 8.7 GFLOPs val: Fast image access (ping: 0.00.0 ms, read: 103.2210.6 MB/s, size: 55.1 KB) val: Scanning F:\yolov8\datasets\widerperson\val\labels... 22 images, 0 backgrounds, 22 corrupt: 100%|██████████| 22/22 [00:00<00:00, 814.59it/s] val: F:\yolov8\datasets\widerperson\val\images\000040.jpg: ignoring corrupt image/label: Label class 1 exceeds dataset class count 1. Possible class labels are 0-0 val: F:\yolov8\datasets\widerperson\val\images\000041.jpg: ignoring corrupt image/label: Label class 1 exceeds dataset class count 1. Possible class labels are 0-0 val: F:\yolov8\datasets\widerperson\val\images\000042.jpg: ignoring corrupt image/label: Label class 1 exceeds dataset class count 1. Possible class labels are 0-0 val: F:\yolov8\datasets\widerperson\val\images\000044.jpg: ignoring corrupt image/label: Label class 1 exceeds dataset class count 1. Possible class labels are 0-0 val: F:\yolov8\datasets\widerperson\val\images\000045.jpg: ignoring corrupt image/label: Label class 1 exceeds dataset class count 1. Possible class labels are 0-0 val: F:\yolov8\datasets\widerperson\val\images\000046.jpg: ignoring corrupt image/label: Label class 1 exceeds dataset class count 1. Possible class labels are 0-0 val: F:\yolov8\datasets\widerperson\val\images\000048.jpg: ignoring corrupt image/label: Label class 1 exceeds dataset class count 1. Possible class labels are 0-0 val: F:\yolov8\datasets\widerperson\val\images\000049.jpg: ignoring corrupt image/label: Label class 1 exceeds dataset class count 1. Possible class labels are 0-0 val: F:\yolov8\datasets\widerperson\val\images\000050.jpg: ignoring corrupt image/label: Label class 1 exceeds dataset class count 1. Possible class labels are 0-0 val: F:\yolov8\datasets\widerperson\val\images\000051.jpg: ignoring corrupt image/label: Label class 1 exceeds dataset class count 1. Possible class labels are 0-0 val: F:\yolov8\datasets\widerperson\val\images\000059.jpg: ignoring corrupt image/label: Label class 1 exceeds dataset class count 1. Possible class labels are 0-0 val: F:\yolov8\datasets\widerperson\val\images\000060.jpg: ignoring corrupt image/label: Label class 1 exceeds dataset class count 1. Possible class labels are 0-0 val: F:\yolov8\datasets\widerperson\val\images\000061.jpg: ignoring corrupt image/label: Label class 1 exceeds dataset class count 1. Possible class labels are 0-0 val: F:\yolov8\datasets\widerperson\val\images\000065.jpg: ignoring corrupt image/label: Label class 1 exceeds dataset class count 1. Possible class labels are 0-0 val: F:\yolov8\datasets\widerperson\val\images\000079.jpg: ignoring corrupt image/label: Label class 1 exceeds dataset class count 1. Possible class labels are 0-0 val: F:\yolov8\datasets\widerperson\val\images\000080.jpg: ignoring corrupt image/label: Label class 1 exceeds dataset class count 1. Possible class labels are 0-0 val: F:\yolov8\datasets\widerperson\val\images\000081.jpg: ignoring corrupt image/label: Label class 1 exceeds dataset class count 1. Possible class labels are 0-0 val: F:\yolov8\datasets\widerperson\val\images\000085.jpg: ignoring corrupt image/label: Label class 1 exceeds dataset class count 1. Possible class labels are 0-0 val: F:\yolov8\datasets\widerperson\val\images\000088.jpg: ignoring corrupt image/label: Label class 1 exceeds dataset class count 1. Possible class labels are 0-0 val: F:\yolov8\datasets\widerperson\val\images\000089.jpg: ignoring corrupt image/label: Label class 1 exceeds dataset class count 1. Possible class labels are 0-0 val: F:\yolov8\datasets\widerperson\val\images\000091.jpg: ignoring corrupt image/label: Label class 1 exceeds dataset class count 1. Possible class labels are 0-0 val: F:\yolov8\datasets\widerperson\val\images\000099.jpg: ignoring corrupt image/label: Label class 1 exceeds dataset class count 1. Possible class labels are 0-0 val: New cache created: F:\yolov8\datasets\widerperson\val\labels.cache WARNING No images found in F:\yolov8\datasets\widerperson\val\labels.cache, training may not work correctly. See https://docs.ultralytics.com/datasets for dataset formatting guidance. Traceback (most recent call last): File "F:\anaconda\envs\yolov8\lib\runpy.py", line 197, in _run_module_as_main return _run_code(code, main_globals, None, File "F:\anaconda\envs\yolov8\lib\runpy.py", line 87, in _run_code exec(code, run_globals) File "F:\anaconda\envs\yolov8\Scripts\yolo.exe\__main__.py", line 7, in <module> File "F:\anaconda\envs\yolov8\lib\site-packages\ultralytics\cfg\__init__.py", line 981, in entrypoint getattr(model, mode)(**overrides) # default args from model File "F:\anaconda\envs\yolov8\lib\site-packages\ultralytics\engine\model.py", line 630, in val validator(model=self.model) File "F:\anaconda\envs\yolov8\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) File "F:\anaconda\envs\yolov8\lib\site-packages\ultralytics\engine\validator.py", line 190, in __call__ self.dataloader = self.dataloader or self.get_dataloader(self.data.get(self.args.split), self.args.batch) File "F:\anaconda\envs\yolov8\lib\site-packages\ultralytics\models\yolo\detect\val.py", line 317, in get_dataloader dataset = self.build_dataset(dataset_path, batch=batch_size, mode="val") File "F:\anaconda\envs\yolov8\lib\site-packages\ultralytics\models\yolo\detect\val.py", line 304, in build_dataset return build_yolo_dataset(self.args, img_path, batch, self.data, mode=mode, stride=self.stride) File "F:\anaconda\envs\yolov8\lib\site-packages\ultralytics\data\build.py", line 109, in build_yolo_dataset return dataset( File "F:\anaconda\envs\yolov8\lib\site-packages\ultralytics\data\dataset.py", line 87, in __init__ super().__init__(*args, channels=self.data["channels"], **kwargs) File "F:\anaconda\envs\yolov8\lib\site-packages\ultralytics\data\base.py", line 113, in __init__ self.labels = self.get_labels() File "F:\anaconda\envs\yolov8\lib\site-packages\ultralytics\data\dataset.py", line 192, in get_labels len_cls, len_boxes, len_segments = (sum(x) for x in zip(*lengths)) ValueError: not enough values to unpack (expected 3, got 0) 使用yolov8官方验证工具给出的结果,分析一下问题所在