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Author: f | 2025-04-25

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CMake Linux CMake CMake 3.21_ cmake

Download Cmake 3.31.6 (64-bit) Date released: 24 Feb 2025 (2 weeks ago) Download Cmake 3.31.6 (32-bit) Date released: 24 Feb 2025 (2 weeks ago) Download Cmake 3.31.5 (64-bit) Date released: 23 Jan 2025 (one month ago) Download Cmake 3.31.5 (32-bit) Date released: 23 Jan 2025 (one month ago) Download Cmake 3.31.4 (64-bit) Date released: 11 Jan 2025 (one month ago) Download Cmake 3.31.4 (32-bit) Date released: 11 Jan 2025 (one month ago) Download Cmake 3.31.3 (64-bit) Date released: 20 Dec 2024 (3 months ago) Download Cmake 3.31.3 (32-bit) Date released: 19 Dec 2024 (3 months ago) Download Cmake 3.31.2 (64-bit) Date released: 06 Dec 2024 (3 months ago) Download Cmake 3.31.2 (32-bit) Date released: 06 Dec 2024 (3 months ago) Download Cmake 3.31.1 (64-bit) Date released: 21 Nov 2024 (4 months ago) Download Cmake 3.31.1 (32-bit) Date released: 21 Nov 2024 (4 months ago) Download Cmake 3.31.0 (64-bit) Date released: 06 Nov 2024 (4 months ago) Download Cmake 3.31.0 (32-bit) Date released: 06 Nov 2024 (4 months ago) Download Cmake 3.30.7 (64-bit) Date released: 23 Jan 2025 (one month ago) Download Cmake 3.30.7 (32-bit) Date released: 23 Jan 2025 (one month ago) Download Cmake 3.30.6 (64-bit) Date released: 21 Nov 2024 (4 months ago) Download Cmake 3.30.6 (32-bit) Date released: 21 Nov 2024 (4 months ago) Download Cmake 3.30.5 (64-bit) Date released: 08 Oct 2024 (5 months ago) Download Cmake 3.30.5 (32-bit) Date released: 08 Oct 2024 (5 months ago)

[CMake] CMake 2.4.4 available for download

Download Cmake 3.25.0 (64-bit) Date released: 17 Nov 2022 (2 years ago) Download Cmake 3.25.0 (32-bit) Date released: 17 Nov 2022 (2 years ago) Download Cmake 3.24.3 (64-bit) Date released: 01 Nov 2022 (2 years ago) Download Cmake 3.24.3 (32-bit) Date released: 01 Nov 2022 (2 years ago) Download Cmake 3.24.2 (64-bit) Date released: 14 Sep 2022 (3 years ago) Download Cmake 3.24.2 (32-bit) Date released: 14 Sep 2022 (3 years ago) Download Cmake 3.24.1 (64-bit) Date released: 18 Aug 2022 (3 years ago) Download Cmake 3.24.1 (32-bit) Date released: 18 Aug 2022 (3 years ago) Download Cmake 3.24.0 (64-bit) Date released: 05 Aug 2022 (3 years ago) Download Cmake 3.24.0 (32-bit) Date released: 05 Aug 2022 (3 years ago) Download Cmake 3.23.5 (64-bit) Date released: 01 Nov 2022 (2 years ago) Download Cmake 3.23.5 (32-bit) Date released: 01 Nov 2022 (2 years ago) Download Cmake 3.23.4 (64-bit) Date released: 05 Oct 2022 (2 years ago) Download Cmake 3.23.4 (32-bit) Date released: 05 Oct 2022 (2 years ago) Download Cmake 3.23.3 (64-bit) Date released: 29 Jul 2022 (3 years ago) Download Cmake 3.23.3 (32-bit) Date released: 29 Jul 2022 (3 years ago) Download Cmake 3.23.2 (64-bit) Date released: 26 May 2022 (3 years ago) Download Cmake 3.23.2 (32-bit) Date released: 26 May 2022 (3 years ago) Download Cmake 3.23.1 (64-bit) Date released: 13 Apr 2022 (3 years ago) Download Cmake 3.23.1 (32-bit) Date released: 13 Apr 2022 (3 years ago)

[CMake] CMake 2.8.6 available for download

社区首页 >问答首页 >安装带有CMake 4.1.2的OpenCV 4.1.2时的OpenCV错误我从他们的github和他们的网站上安装了OpenCV和OpenCV配置4.1.2，以便在Visual中使用它们的dnn模块。我一直很难让CMake来配置和生成所需的任何东西。以下是我所犯的错误：Detected processor: AMD64libjpeg-turbo: VERSION = 2.0.2, BUILD = opencv-4.1.2-libjpeg-turboIPPICV: Download: ippicv_2019_win_intel64_20180723_general.zipfound Intel IPP (ICV version): 2019.0.0 [2019.0.0 Gold]at: C:/opencv+contrib/3rdparty/ippicv/ippicv_win/icvfound Intel IPP Integration Wrappers sources: 2019.0.0at: C:/opencv+contrib/3rdparty/ippicv/ippicv_win/iwCould not find OpenBLAS include. Turning OpenBLAS_FOUND offCould not find OpenBLAS lib. Turning OpenBLAS_FOUND offCould NOT find BLAS (missing: BLAS_LIBRARIES) LAPACK requires BLASA library with LAPACK API not found. Please specify library location.VTK is not found. Please set -DVTK_DIR in CMake to VTK build directory, or to VTK install subdirectory with VTKConfig.cmake fileCMake Error at cmake/OpenCVModule.cmake:289 (message): No modules has been found: C:/opencv_contrib-4.1.2Call Stack (most recent call first): cmake/OpenCVModule.cmake:371 (_glob_locations) modules/CMakeLists.txt:7 (ocv_glob_modules)ADE: Download: v0.1.1f.zipOpenCV Python: during development append to PYTHONPATH: C:/opencv+contrib/python_loaderFFMPEG: Download: opencv_videoio_ffmpeg.dllFFMPEG: Download: opencv_videoio_ffmpeg_64.dllFFMPEG: Download: ffmpeg_version.cmakeRegistering hook 'INIT_MODULE_SOURCES_opencv_dnn': C:/opencv/opencv/sources/modules/dnn/cmake/hooks/INIT_MODULE_SOURCES_opencv_dnn.cmakeopencv_dnn: filter out cuda4dnn source codeCMake Warning at cmake/OpenCVGenSetupVars.cmake:54 (message): CONFIGURATION IS NOT SUPPORTED: validate setupvars script in install directoryCall Stack (most recent call first): CMakeLists.txt:944 (include)我在googling中发现的另一篇文章说，Python路径可能不正确，但是当我在cmd中输入python --version时，它告诉我Python3.7.4回答 1Stack Overflow用户发布于 2019-11-29 07:33:46尝试安装vcpkg，从这里您可以下载并安装OpenCV x86和x64。但是，这里并不是所有的模块都可用。最常见的，包括DNN，见下图。​要用DNN包安装OpenCV，您需要输入以下行：X86：.\vcpkg install opencv4[dnn]X64：.\vcpkg install opencv4[dnn]:x64-windows页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持原文链接：. Download CMake (32bit) T l charger CMake (32bit) Herunterladen CMake (32bit) Scaricare CMake (32bit) ダウンロード CMake (32bit) Descargar CMake (32bit) Baixar CMake (32bit)

[CMake] CMake 2.6.0 available for download

Ubuntu 18Nvidia Jetson board Install Eigen 3.3.4 1. Download source code CMake Error at /usr/local/lib/cmake/Ceres/CeresConfig.cmake:85 (message): Failed to find Ceres - Found Eigen dependency, but the version of Eigen found (3.3.9) does not exactly match the version of Eigen Ceres was compiled with (3.3.4). from Eigen Download to download Eigen3.3.4 In order to use Eigen, you just need to download and extract Eigen’s source code (see the wiki for download instructions). In fact, the header files in the Eigen subdirectory are the only files required to compile programs using Eigen. The header files are the same for all platforms. It is not necessary to use CMake or install anything. 2 Method 1. Installing without using CMake Method 1. Installing without using CMake****************************************You can use right away the headers in the Eigen/ subdirectory. In orderto install, just copy this Eigen/ subdirectory to your favorite location.If you also want the unsupported features, copy the unsupported/subdirectory too. nvidia@nvidia-desktop:~/Downloads/eigen-3.3.4$ sudo cp -r Eigen /usr/local/include/nvidia@nvidia-desktop:~/Downloads/eigen-3.3.4$ sudo cp -r unsupported /usr/local/include/ 2# Method 2. Installing using CMake Method 2. Installing using CMake********************************Let's call this directory 'source_dir' (where this INSTALL file is).Before starting, create another directory which we will call 'build_dir'.Do: makedir build cd build cmake .. make installThe "make install" step may require administrator privileges.You can adjust the installation destination (the "prefix")by passing the -DCMAKE_INSTALL_PREFIX=myprefix option to cmake, as isexplained in the message that cmake prints at the end.

[cmake-developers] [CMake ]: CMake support for the

By setting the "CMAKE_WARN_DEPRECATED" variable to false.Deprecated and Removed Features===============================* The "cmake(1)" "-E time" command now properly passes arguments with spaces or special characters through to the child process. This may break scripts that worked around the bug with their own extra quoting or escaping.* The "Xcode" generator was fixed to escape backslashes in strings consistently with other generators. Projects that previously worked around the inconsistecy with an extra level of backslashes conditioned on the Xcode generator must be updated to remove the workaround for CMake 3.5 and greater.Other Changes=============* The "Visual Studio 14 2015" generator learned to map the "/debug:fastlink" linker flag to the ".vcxproj" file property.* The "FindGTK2" module now configures the "GTK2::sigc++" imported target to enable c++11 on its dependents when using sigc++ 2.5.1 or higher.* The precompiled Windows binary provided on "cmake.org" is now a ".msi" package instead of an installer executable. One may need to manually uninstall CMake versions lower than 3.5 before installing the new package.----------------------------------------------------------------------------Changes made since CMake 3.5.0-rc3:Ashley Whetter (1): Help: Fix typos in cmake-packages.7 manualBartosz Kosiorek (1): Help: Clarify `cmake -E` command behavior with respect to file existenceBrad King (3): VS: Fix VS 2015 .vcxproj debug setting for older toolsets (#15986) FindPython{Interp,Libs}: Clarify recommended call order CMake 3.5.0 1 comment to CMake 3.5.0 available for download I can not find cmake 3.5, i only find cmake 3.20 and below, please guide Leave a Reply

CMake 3.23.0 available for download - CMake Discourse

Latest Version Cmake 3.31.6 (64-bit) Operating System Windows 7 64 / Windows 8 64 / Windows 10 64 / Windows 11 User Rating Click to vote Author / Product Kitware, Inc. / External Link Filename cmake-3.27.5-windows-x86_64.msi Sometimes latest versions of the software can cause issues when installed on older devices or devices running an older version of the operating system.Software makers usually fix these issues but it can take them some time. What you can do in the meantime is to download and install an older version of Cmake 3.27.5 (64-bit). For those interested in downloading the most recent release of Cmake or reading our review, simply click here. All old versions distributed on our website are completely virus-free and available for download at no cost. We would love to hear from youIf you have any questions or ideas that you want to share with us - head over to our Contact page and let us know. We value your feedback!

CMake 3.23.1 available for download - CMake Discourse

C++Builder and RAD Studio 12.2 bring a fantastic feature for C++: full CMake support for the new Win64 Modern toolchain.It’s available in GetIt now, and it comes with some amazing demos. You can build VCL apps, FMX apps, packages, DLLs, console apps, as you’d expect… but, and this demonstrates the power and compatibility and quality of the new toolchain in C++Builder, you can even build OpenCV. Yes, we do in fact include that as one of our demos 🙂For the many customers who’ve asked about OpenCV, that’s quite a line to casually drop in a blog. I’ve been looking forward to writing it for a while.Windows Explorer showing just a few of the OpenCV files built by CMake and C++Builder 12.2Read on, and I’ll go into detail about the new CMake support and how to use it! Or jump right to the quick start.What CMake Lets You DoTech details: CMake + ninjaQuick StartThe demosTech details: BuildingCMake support!What CMake Lets You DoCMake is a very popular build system for C++ across multiple platforms and compilers. If you’re a library author, you write a CMakeLists.txt file describing your project, source, and settings, and then (in theory) anyone can use that same script to build that project with any compiler.As a developer, more likely what happens is that you find a library on Github and it ships with a CMakeLists.txt, and you want to be able to run that with whichever toolchain you’re using: for us, C++Builder. Enabling C++Builder to be one of those toolchains was a key goal for our 12.2 release, and it’s one we believe we’ve met today!The vast majority of all third party C++ libraries come with CMake build scripts, and this support should give you the ability to easily build them.In other words, CMake support for C++Builder makes it easy to use any C++ library.Here are three million of them to start.Tech details: CMake + ninjaCMake is a meta build system: you describe your project once, and then you can use CMake to generate various build scripts, such as makefiles. That is, CMake doesn’t actually build: it creates files for another build system. Our supported scenario is using ninja, which is the world standard for fast parallel builds (though, sadly, it is not as fast as TwineCompile or our inbuilt, on-by-default parallel building in 12.2, which are highly specialised for our toolchain and our measurements show may well beat everyone else in some circumstances. But ninja is the best you’ll get outside the C++Builder ecosystem.)Thus, we support the CMake+ninja pair, allowing you to use CMake to build C++ libraries, where the build is executed via the fast, parallel ninja build runner.We have a custom build of CMake in GetIt (and are working to contribute our changes back to the CMake project.) Install that via Tools > GetIt Package Manager. Ninja is a single-executable download and just needs to be in your system path somewhere. Download and install both these.Quick StartOur RAD Studio 12 demos on Github were updated. Download CMake (32bit) T l charger CMake (32bit) Herunterladen CMake (32bit) Scaricare CMake (32bit) ダウンロード CMake (32bit) Descargar CMake (32bit) Baixar CMake (32bit) Download CMake (64bit) T l charger CMake (64bit) Herunterladen CMake (64bit) Scaricare CMake (64bit) ダウンロード CMake (64bit) Descargar CMake (64bit) Baixar CMake (64bit)

CMake 3.30.1 available for download - CMake Discourse

Configurations and custom build options.Modular design: CMake uses a modular design that allows developers to build complex projects with multiple components.Integration with other build tools: CMake can be integrated with other build tools, such as make and ninja.Automated dependency resolution: CMake can automatically detect and resolve dependencies between different components of a project.Extensibility: CMake can be extended with custom plugins and modules to support specific build requirements. Programme disponible dans d'autres langues Download CMake (64bit) Herunterladen CMake (64bit) Scaricare CMake (64bit) ダウンロード CMake (64bit) Descargar CMake (64bit) Baixar CMake (64bit) Avis des utilisateurs Évaluation des utilisateurs Permis: Gratuit Exigences: Windows 7 / Windows 8 / Windows 10/ Windows 11 Langues: English Taille: 31.20 MB Éditeur: Kitware, Inc. Mis à jour: Aug 25, 2023 Propre Signalez le logiciel Niveaux de sécurité Pour éviter tout dommage potentiel à votre appareil et assurer la sécurité de vos données et de votre vie privée, notre équipe vérifie chaque fois qu'un nouveau fichier d'installation est téléchargé sur nos serveurs ou lié à un serveur distant et examine périodiquement le fichier pour confirmer ou mettre à jour son statut. Sur la base de cette vérification, nous définissons les niveaux de sécurité suivants pour tous les fichiers téléchargeables. Propre Il est très probable que ce programme logiciel soit propre. Nous avons analysé des fichiers et des URL associés à ce programme logiciel dans plus de 60 des principaux services antivirus mondiaux; aucune menace possible n'a été trouvée. Et il n'y a pas de logiciel tiers inclus. Avertissement

CMake 3.31.6 available for download - Announcements - CMake

Or install from your package manager(sudo apt-get install cmake on Ubuntu, etc).Please refer to the CMake documentationfor complete details, as platform and build tool details vary.You'll need a copy of SDL3 to build sdl2-compat, because we need theSDL3 headers. You can build this from source or install from a packagemanager. Windows and Mac users can download prebuilt binaries fromSDL's download page; make sure youget the "development libraries" and not "runtime binaries" there.Linux users might need some packages from their Linux distribution. On Ubuntu,you might need to do (!!! FIXME: this won't work until SDL3 is further indevelopment!) ...sudo apt-get install build-essential cmake libsdl3-dev libgl-devNow just point CMake at sdl2-compat's directory. Here's a command-lineexample:cd sdl2-compatcmake -Bbuild -DCMAKE_BUILD_TYPE=Release .cmake --build buildOn Windows or macOS, you might prefer to use CMake's GUI, but it's the sameidea: give it the directory where sdl2-compat is located, click "Configure,"choose your favorite compiler, then click "Generate." Now you have projectfiles! Click "Open Project" to launch your development environment. Then youcan build however you like with Visual Studio, Xcode, etc.If necessary, you might have to fill in the location of the SDL3 headerswhen using CMake. sdl2-compat does not need SDL3's library to build,just its headers (although it may complain about the missing library,you can ignore that). From the command line, add-DSDL3_INCLUDE_DIRS=/path/to/SDL3/include, or find this in the CMakeGUI and set it appropriately, click "Configure" again, and then "Generate."When the build is complete, you'll have a shared library you can drop inas a replacement for an existing SDL2 build. This. Download CMake (32bit) T l charger CMake (32bit) Herunterladen CMake (32bit) Scaricare CMake (32bit) ダウンロード CMake (32bit) Descargar CMake (32bit) Baixar CMake (32bit)

CMake 3.31.0 available for download - Announcements - CMake

Directories for 'psimd'[2/9] Performing download step (git clone) for 'psimd'Cloning into 'psimd'...Already on 'master'Your branch is up to date with 'origin/master'.[3/9] No patch step for 'psimd'[4/9] Performing update step for 'psimd'Current branch master is up to date.[5/9] No configure step for 'psimd'[6/9] No build step for 'psimd'[7/9] No install step for 'psimd'[8/9] No test step for 'psimd'[9/9] Completed 'psimd'-- Using third party subdirectory Eigen.Python 3.7.1-- Found PythonInterp: /opt/anaconda/bin/python (found suitable version "3.7.1", minimum required is "2.7") -- Found PythonLibs: /opt/anaconda/lib/libpython3.7m.so.1.0 (found suitable version "3.7.1", minimum required is "2.7") -- Found PythonInterp: /opt/anaconda/bin/python (found version "3.7.1") -- Found PythonLibs: /opt/anaconda/lib/libpython3.7m.so.1.0-- System pybind11 found-- pybind11 include dirs: /usr/include;/opt/anaconda/include/python3.7mCMake Warning at cmake/Dependencies.cmake:805 (message): Not using CUDA, so disabling NCCL. Suppress this warning with -DUSE_NCCL=OFF.Call Stack (most recent call first): CMakeLists.txt:219 (include)CMake Warning at cmake/Dependencies.cmake:950 (message): Metal is only used in ios builds.Call Stack (most recent call first): CMakeLists.txt:219 (include)-- -- ******** Summary ********-- CMake version : 3.12.2-- CMake command : /opt/anaconda/bin/cmake-- System : Linux-- C++ compiler : /usr/bin/c++-- C++ compiler version : 5.4.1-- CXX flags : -fvisibility-inlines-hidden -Wnon-virtual-dtor-- Build type : Release-- Compile definitions : TH_BLAS_MKL-- CMAKE_PREFIX_PATH : /opt/anaconda/bin/../-- CMAKE_INSTALL_PREFIX : /home/manjaro/Downloads/pytorch/torch-- CMAKE_MODULE_PATH : /home/manjaro/Downloads/pytorch/cmake/Modules;/usr/share/cmake/pybind11-- -- ONNX version : 1.4.1-- ONNX NAMESPACE : onnx_torch-- ONNX_BUILD_TESTS : OFF-- ONNX_BUILD_BENCHMARKS : OFF-- ONNX_USE_LITE_PROTO : OFF-- ONNXIFI_DUMMY_BACKEND : OFF-- -- Protobuf compiler : -- Protobuf includes : -- Protobuf libraries : -- BUILD_ONNX_PYTHON : OFF-- Found gcc >=5 and CUDA Building wheel torch-1.1.0a0+44809fd-- Building version 1.1.0a0+44809fd['cmake', '/home/manjaro/Downloads/pytorch', '-GNinja', '-DBLAS=MKL', '-DBUILDING_WITH_TORCH_LIBS=ON', '-DBUILD_BINARY=False', '-DBUILD_CAFFE2_OPS=False', '-DBUILD_PYTHON=True', '-DBUILD_SHARED_LIBS=ON', '-DBUILD_TEST=False', '-DBUILD_TORCH=ON',