Conda is both a package manager and an environment manager. It provides a simple way to install packages inside an isolated environment, avoiding the installation alongside system wide packages and letting you switch between different environment that may use different and/or incompatible versions. More especially, it can easily handle different Python versions and installations. Conda packages are not restricted to Python and can be written in any language, so it is well suited for C++ or C++ / Python packages. Conda also provides a package dependency management mechanism and can detect incompatible dependencies, saving the user from breaking their environment.

Since release 3.5.0, ViSP is available as a Conda package from conda-forge for x86 64 bits architectures on Linux, OSX and Windows platforms.

If you are already familiar with Conda and your Conda installation is configured with conda-forge as the default channel, then you can skip the first sections and directly go to the Installing ViSP Conda package. Otherwise, these steps will guide you on how to install and configure Conda first.

If you are new to Conda, this cheat sheet might be also very useful.

Installing Conda

We recommend to install Conda from the installers provided by the conda-forge community, such as Miniforge, which will be already configured as desired.

Since release v23.10, Conda is automatically configured to use libmamba-solver by default to resolve dependencies. We highly recommand the use of this solver as it dramastically improve the performances. To check your current Conda version, just run:

$ conda info

and check for the conda version line. If your version is 23.10.0 or above, you have nothing to do, libmamba-solver is already set-up by default. Otherwise, we recommand you to update your Conda version:

$ conda update -n base conda -c conda-forge

Checking your Conda installation

The initial Conda configuration can differ depending on the installer and distribution you have used. If you installed Conda using Miniforge distribution as in previous section, then you can skip this section and directly go to Installing ViSP Conda package. If you have an old Conda installation, used another installer or are ensure about your Conda configuration, please proceed this section carefully. First, you need to ensure that the conda-forge channel is enabled in your Conda installation and has priority:

$ conda config --show channels

Check that conda-forge is present in the list and appears first:

channels:
  - conda-forge
  - defaults

If not present in the list, you may add it permanently to your channels list using:

$ conda config --add channels conda-forge

If the order in the list (channel priority) is reversed, just type re-add the conda-forge channel using the previous command and you should get the desired output.

We also strongly advise that you use the strict channel priority mode, as recommended by Conda here:

$ conda config --show channel_priority

Note: You can also directly access to your Conda configuration by editing the ~/.condarc file.

Optional: Creating a new Conda environment

After a fresh installation, your shell should have been configured to support Conda. The current active environment (default is base) should appear in your command prompt between parenthesis, e.g.:

(base)$

base is the default and root environment. Most of the time, you should avoid installing packages directly in this environment. Instead, you should create a new environment for each desired context.This can be done by:

$ conda create -n my-visp-env

where my-visp-env is the name you want to give to this environment.

At this point, your environment my-visp-env is created, but not active. You can activate your environment my-visp-env by:

$ conda activate my-visp-env

The active environment between parenthesis in your command prompt should have been updated to my-visp-env. You can also check this by:

$ conda env list

This command will list all your existing Conda environment, and your active environment will have its name suffixed by an asterisk (*).

You can deactivate the active environment by:

$ conda deactivate

which should get you back to the environment from which your did your last activation (recall that environments stack).

It might be interesting to note that a sysroot directory structure is created for each Conda environment, when the environment is created. This is then the place where your libraries, headers and so will be put when installing Conda packages. You can access to the active environment sysroot directory directly using the CONDA_PREFIX environment variable. Depending on how much populated your sysroot already is, you should have a directory structure similar to:

Typical sysroot directory hierarchy for each Conda environment. You may have more or less directories, depending on your Conda environment.

Installing ViSP Conda package

One line install:

$ conda install visp

Some good practices with Conda

Minimize system-wide packages, install as much as possible from Conda in your dedicated environment.
Be careful when mixing different channels: prefer to restrict to conda-forge channel only.
Do not install in the base environment, excepted Conda global or configuration packages (e.g. conda-build)

Keep Conda up-to-date:

$ conda update -n base conda -c conda-forge

If you develop C++ code with Conda, it is a good practice to keep your project sources associated to one Conda environment. This ease keeping integrity between code and the environment and mixing with dependencies managers such vcpkg. One way to do so is to put all the code associated to an environment inside the Conda environment hierarchy sysroot. More precisely, you could have a src directory in every Conda environment sysroot like this:

One way to organize your sources associated to a given Conda environment.

Another way to do so is to create the Conda environment in a dedicated directory (commonly named envs/) within your project source, as recommanded here in the official Conda documentation:

$ conda create --prefix <project_source_dir>/envs
$ conda activate <project_source_dir>/envs

Configuration used for the Conda package

To get an idea of the third parties available in the ViSP Conda package, we provide below the contents of the file ViSP-third-party.txt file for the Conda Linux-64, OSX-64 and Windows-64 packages.

Configuration for the Linux-64 Conda package

==========================================================
General configuration information for ViSP 3.6.0

  Version control:               unknown

  Platform:
    Timestamp:                   2023-10-23T17:58:44Z
    Host:                        Linux 6.2.0-1014-azure x86_64
    CMake:                       3.27.6
    CMake generator:             Unix Makefiles
    CMake build tool:            $BUILD_PREFIX/bin/make
    Configuration:               Release

  System information:
    Number of CPU logical cores: 2
    Number of CPU physical cores: 2
    Total physical memory (in MiB): 6921
    OS name:                     Linux
    OS release:                  6.2.0-1014-azure
    OS version:                  #14~22.04.1-Ubuntu SMP Wed Sep 13 16:15:26 UTC 2023
    OS platform:                 x86_64
    CPU name:                    Unknown P6 family
    Is the CPU 64-bit?           yes
    Does the CPU have FPU?       yes
    CPU optimization:            SSE2 SSE3 SSSE3

  C/C++:
    Built as dynamic libs?:      yes
    C++ Compiler:                $BUILD_PREFIX/bin/x86_64-conda-linux-gnu-c++  (ver 12.3.0)
    C++ flags (Release):         -fvisibility-inlines-hidden -fmessage-length=0 -march=nocona -mtune=haswell -ftree-vectorize -fPIC -fstack-protector-strong -fno-plt -O2 -ffunction-sections -pipe -isystem $PREFIX/include -fdebug-prefix-map=$SRC_DIR=/usr/local/src/conda/visp-3.6.0 -fdebug-prefix-map=$PREFIX=/usr/local/src/conda-prefix  -Wall -Wextra -fopenmp -pthread -std=c++17 -fvisibility=hidden -msse2 -msse3 -mssse3 -fPIC -O3 -DNDEBUG
    C++ flags (Debug):           -fvisibility-inlines-hidden -fmessage-length=0 -march=nocona -mtune=haswell -ftree-vectorize -fPIC -fstack-protector-strong -fno-plt -O2 -ffunction-sections -pipe -isystem $PREFIX/include -fdebug-prefix-map=$SRC_DIR=/usr/local/src/conda/visp-3.6.0 -fdebug-prefix-map=$PREFIX=/usr/local/src/conda-prefix  -Wall -Wextra -fopenmp -pthread -std=c++17 -fvisibility=hidden -msse2 -msse3 -mssse3 -fPIC -g
    C Compiler:                  $BUILD_PREFIX/bin/x86_64-conda-linux-gnu-cc
    C flags (Release):           -march=nocona -mtune=haswell -ftree-vectorize -fPIC -fstack-protector-strong -fno-plt -O2 -ffunction-sections -pipe -isystem $PREFIX/include -fdebug-prefix-map=$SRC_DIR=/usr/local/src/conda/visp-3.6.0 -fdebug-prefix-map=$PREFIX=/usr/local/src/conda-prefix  -Wall -Wextra -fopenmp -pthread -std=c++17 -fvisibility=hidden -msse2 -msse3 -mssse3 -fPIC -O3 -DNDEBUG
    C flags (Debug):             -march=nocona -mtune=haswell -ftree-vectorize -fPIC -fstack-protector-strong -fno-plt -O2 -ffunction-sections -pipe -isystem $PREFIX/include -fdebug-prefix-map=$SRC_DIR=/usr/local/src/conda/visp-3.6.0 -fdebug-prefix-map=$PREFIX=/usr/local/src/conda-prefix  -Wall -Wextra -fopenmp -pthread -std=c++17 -fvisibility=hidden -msse2 -msse3 -mssse3 -fPIC -g
    Linker flags (Release):      -Wl,-O2 -Wl,--sort-common -Wl,--as-needed -Wl,-z,relro -Wl,-z,now -Wl,--disable-new-dtags -Wl,--gc-sections -Wl,--allow-shlib-undefined -Wl,-rpath,$PREFIX/lib -Wl,-rpath-link,$PREFIX/lib -L$PREFIX/lib
    Linker flags (Debug):        -Wl,-O2 -Wl,--sort-common -Wl,--as-needed -Wl,-z,relro -Wl,-z,now -Wl,--disable-new-dtags -Wl,--gc-sections -Wl,--allow-shlib-undefined -Wl,-rpath,$PREFIX/lib -Wl,-rpath-link,$PREFIX/lib -L$PREFIX/lib
    Use cxx standard:            17

  ViSP modules:
    To be built:                 core gui imgproc io java_bindings_generator klt me sensor ar blob robot visual_features vs vision detection mbt tt tt_mi
    Disabled:                    -
    Disabled by dependency:      -
    Unavailable:                 java

  Python (for build):            $PREFIX/bin/python

  Java:
    ant:                         no
    JNI:                         no

  Build options:
    Build deprecated:            yes
    Build with moment combine:   no

  OpenCV:
    Version:                     4.8.1
    Modules:                     calib3d core dnn features2d flann gapi highgui imgcodecs imgproc ml objdetect photo stitching video videoio alphamat aruco bgsegm bioinspired ccalib cvv datasets dnn_objdetect dnn_superres dpm face freetype fuzzy hdf hfs img_hash intensity_transform line_descriptor mcc optflow phase_unwrapping plot quality rapid reg rgbd saliency shape stereo structured_light superres surface_matching text tracking videostab wechat_qrcode xfeatures2d ximgproc xobjdetect xphoto
    OpenCV dir:                  $PREFIX/lib/cmake/opencv4

  Mathematics:
    Blas/Lapack:                 yes
    \- Use MKL:                  yes
    \- Use OpenBLAS:             no
    \- Use Atlas:                no
    \- Use Netlib:               no
    \- Use GSL:                  no
    \- Use Lapack (built-in):    no
    Use Eigen3:                  yes (ver 3.4.0)
    Use OpenCV:                  yes (ver 4.8.1)

  Simulator:
    Ogre simulator:
    \- Use Ogre3D:               no
    \- Use OIS:                  no
    Coin simulator:
    \- Use Coin3D:               no
    \- Use SoWin:                no
    \- Use SoXt:                 no
    \- Use SoQt:                 no
    \- Use Qt5:                  no
    \- Use Qt4:                  no
    \- Use Qt3:                  no

  Media I/O:
    Use JPEG:                    yes (ver 80)
    Use PNG:                     yes (ver 1.6.39)
    \- Use ZLIB:                 yes (ver 1.2.13)
    Use OpenCV:                  yes (ver 4.8.1)
    Use stb_image (built-in):    yes (ver 2.27.0)
    Use TinyEXR (built-in):      yes (ver 1.0.2)

  Real robots:
    Use Afma4:                   no
    Use Afma6:                   no
    Use Franka:                  no
    Use Viper650:                no
    Use Viper850:                no
    Use ur_rtde:                 no
    Use Kinova Jaco:             no
    Use aria (Pioneer):          no
    Use PTU46:                   no
    Use Biclops PTU:             no
    Use Flir PTU SDK:            no
    Use MAVSDK:                  no
    Use Parrot ARSDK:            no
    \-Use ffmpeg:                no
    Use Virtuose:                no
    Use qbdevice (built-in):     yes (ver 2.6.0)
    Use takktile2 (built-in):    yes (ver 1.0.0)

  GUI:
    Use X11:                     yes
    Use GTK:                     no
    Use OpenCV:                  yes (ver 4.8.1)
    Use GDI:                     no
    Use Direct3D:                no

  Cameras:
    Use DC1394-2.x:              yes (ver 2.2.7)
    Use CMU 1394:                no
    Use V4L2:                    no
    Use directshow:              no
    Use OpenCV:                  yes (ver 4.8.1)
    Use FLIR Flycapture:         no
    Use Basler Pylon:            no
    Use IDS uEye:                no

  RGB-D sensors:
    Use Realsense:               no
    Use Realsense2:              yes (ver 2.54.1)
    Use Occipital Structure:     no
    Use Kinect:                  no
    \- Use libfreenect:          no
    \- Use libusb-1:             yes (ver 1.0.26)
    \- Use pthread:              yes
    Use PCL:                     no
    \- Use VTK:                  no

  F/T sensors:
    Use atidaq (built-in):       no
    Use comedi:                  no
    Use IIT SDK:                 no

  Mocap:
    Use Qualisys:                no
    Use Vicon:                   no

  Detection:
    Use zbar:                    no
    Use dmtx:                    no
    Use AprilTag (built-in):     yes (ver 3.1.1)
    \- Use AprilTag big family:  no

  Misc:
    Use Clipper (built-in):      yes (ver 6.4.2)
    Use pugixml (built-in):      yes (ver 1.9.0)
    Use libxml2:                 yes (ver 2.11.5)
    Use json (nlohmann):         no

  Optimization:
    Use OpenMP:                  yes
    Use pthread:                 yes
    Use pthread (built-in):      no
    Use Simd (built-in):         yes (ver 4.9.109)

  DNN:
    Use CUDA Toolkit:            no
    Use TensorRT:                no

  Documentation:
    Use doxygen:                 no
    \- Use mathjax:              no

  Tests and samples:
    Use catch2 (built-in):       yes (ver 2.13.7)
    Tests:                       yes
    Demos:                       yes
    Examples:                    yes
    Tutorials:                   yes
    Dataset found:               no

  Library dirs:
    Eigen3 include dir:          $PREFIX/share/eigen3/cmake
    MKL include dir:             $PREFIX/include
    OpenCV dir:                  $PREFIX/lib/cmake/opencv4

  Install path:                  $PREFIX

==========================================================

Configuration for the OSX-64 Conda package

==========================================================
General configuration information for ViSP 3.6.0

  Version control:               unknown

  Platform:
    Timestamp:                   2023-10-23T18:01:45Z
    Host:                        Darwin 20.6.0 x86_64
    CMake:                       3.27.6
    CMake generator:             Unix Makefiles
    CMake build tool:            $BUILD_PREFIX/bin/make
    Configuration:               Release

  System information:
    Number of CPU logical cores: 3
    Number of CPU physical cores: 3
    Total physical memory (in MiB): 14336
    OS name:                     macOS
    OS release:                  11.7.10
    OS version:                  20G1427
    OS platform:                 x86_64
    CPU name:                    Intel(R) Xeon(R) CPU E5-1650 v2 @ 3.50GHz
    Is the CPU 64-bit?           yes
    Does the CPU have FPU?       yes
    CPU optimization:            SSE2 SSE3 SSSE3

  C/C++:
    Built as dynamic libs?:      yes
    C++ Compiler:                $BUILD_PREFIX/bin/x86_64-apple-darwin13.4.0-clang++  (ver 16.0.6)
    C++ flags (Release):         -march=core2 -mtune=haswell -mssse3 -ftree-vectorize -fPIC -fPIE -fstack-protector-strong -O2 -pipe -stdlib=libc++ -fvisibility-inlines-hidden -fmessage-length=0 -isystem $PREFIX/include -fdebug-prefix-map=$SRC_DIR=/usr/local/src/conda/visp-3.6.0 -fdebug-prefix-map=$PREFIX=/usr/local/src/conda-prefix -D_LIBCPP_DISABLE_AVAILABILITY  -Wall -Wextra -fopenmp=libomp -std=c++17 -fvisibility=hidden -msse2 -msse3 -mssse3 -fPIC -O3 -DNDEBUG
    C++ flags (Debug):           -march=core2 -mtune=haswell -mssse3 -ftree-vectorize -fPIC -fPIE -fstack-protector-strong -O2 -pipe -stdlib=libc++ -fvisibility-inlines-hidden -fmessage-length=0 -isystem $PREFIX/include -fdebug-prefix-map=$SRC_DIR=/usr/local/src/conda/visp-3.6.0 -fdebug-prefix-map=$PREFIX=/usr/local/src/conda-prefix -D_LIBCPP_DISABLE_AVAILABILITY  -Wall -Wextra -fopenmp=libomp -std=c++17 -fvisibility=hidden -msse2 -msse3 -mssse3 -fPIC -g
    C Compiler:                  $BUILD_PREFIX/bin/x86_64-apple-darwin13.4.0-clang
    C flags (Release):           -march=core2 -mtune=haswell -mssse3 -ftree-vectorize -fPIC -fPIE -fstack-protector-strong -O2 -pipe -isystem $PREFIX/include -fdebug-prefix-map=$SRC_DIR=/usr/local/src/conda/visp-3.6.0 -fdebug-prefix-map=$PREFIX=/usr/local/src/conda-prefix  -Wall -Wextra -fopenmp=libomp -std=c++17 -fvisibility=hidden -msse2 -msse3 -mssse3 -fPIC -O3 -DNDEBUG
    C flags (Debug):             -march=core2 -mtune=haswell -mssse3 -ftree-vectorize -fPIC -fPIE -fstack-protector-strong -O2 -pipe -isystem $PREFIX/include -fdebug-prefix-map=$SRC_DIR=/usr/local/src/conda/visp-3.6.0 -fdebug-prefix-map=$PREFIX=/usr/local/src/conda-prefix  -Wall -Wextra -fopenmp=libomp -std=c++17 -fvisibility=hidden -msse2 -msse3 -mssse3 -fPIC -g
    Linker flags (Release):      -Wl,-pie -Wl,-headerpad_max_install_names -Wl,-dead_strip_dylibs -Wl,-rpath,$PREFIX/lib -L$PREFIX/lib
    Linker flags (Debug):        -Wl,-pie -Wl,-headerpad_max_install_names -Wl,-dead_strip_dylibs -Wl,-rpath,$PREFIX/lib -L$PREFIX/lib
    Use cxx standard:            17

  ViSP modules:
    To be built:                 core gui imgproc io java_bindings_generator klt me sensor ar blob robot visual_features vs vision detection mbt tt tt_mi
    Disabled:                    -
    Disabled by dependency:      -
    Unavailable:                 java

  Python (for build):            $PREFIX/bin/python

  Java:
    ant:                         no
    JNI:                         /Users/runner/hostedtoolcache/Java_Temurin-Hotspot_jdk/17.0.8-101/x64/Contents/Home/include /Users/runner/hostedtoolcache/Java_Temurin-Hotspot_jdk/17.0.8-101/x64/Contents/Home/include/darwin /Users/runner/hostedtoolcache/Java_Temurin-Hotspot_jdk/17.0.8-101/x64/Contents/Home/include

  Build options:
    Build deprecated:            yes
    Build with moment combine:   no

  OpenCV:
    Version:                     4.8.1
    Modules:                     calib3d core dnn features2d flann gapi highgui imgcodecs imgproc ml objdetect photo stitching video videoio alphamat aruco bgsegm bioinspired ccalib datasets dnn_objdetect dnn_superres dpm face freetype fuzzy hdf hfs img_hash intensity_transform line_descriptor mcc optflow phase_unwrapping plot quality rapid reg rgbd saliency shape stereo structured_light superres surface_matching text tracking videostab wechat_qrcode xfeatures2d ximgproc xobjdetect xphoto
    OpenCV dir:                  $PREFIX/lib/cmake/opencv4

  Mathematics:
    Blas/Lapack:                 yes
    \- Use MKL:                  no
    \- Use OpenBLAS:             no
    \- Use Atlas:                no
    \- Use Netlib:               yes (ver n/a)
    \- Use GSL:                  no
    \- Use Lapack (built-in):    no
    Use Eigen3:                  yes (ver 3.4.0)
    Use OpenCV:                  yes (ver 4.8.1)

  Simulator:
    Ogre simulator:
    \- Use Ogre3D:               no
    \- Use OIS:                  no
    Coin simulator:
    \- Use Coin3D:               no
    \- Use SoWin:                no
    \- Use SoXt:                 no
    \- Use SoQt:                 no
    \- Use Qt5:                  no
    \- Use Qt4:                  no
    \- Use Qt3:                  no

  Media I/O:
    Use JPEG:                    yes (ver 80)
    Use PNG:                     yes (ver 1.6.39)
    \- Use ZLIB:                 yes (ver 1.2.13)
    Use OpenCV:                  yes (ver 4.8.1)
    Use stb_image (built-in):    yes (ver 2.27.0)
    Use TinyEXR (built-in):      yes (ver 1.0.2)

  Real robots:
    Use Afma4:                   no
    Use Afma6:                   no
    Use Franka:                  no
    Use Viper650:                no
    Use Viper850:                no
    Use ur_rtde:                 no
    Use Kinova Jaco:             no
    Use aria (Pioneer):          no
    Use PTU46:                   no
    Use Biclops PTU:             no
    Use Flir PTU SDK:            no
    Use MAVSDK:                  no
    Use Parrot ARSDK:            no
    \-Use ffmpeg:                no
    Use Virtuose:                no
    Use qbdevice (built-in):     yes (ver 2.6.0)
    Use takktile2 (built-in):    yes (ver 1.0.0)

  GUI:
    Use X11:                     yes
    Use GTK:                     no
    Use OpenCV:                  yes (ver 4.8.1)
    Use GDI:                     no
    Use Direct3D:                no

  Cameras:
    Use DC1394-2.x:              yes (ver 2.2.7)
    Use CMU 1394:                no
    Use V4L2:                    no
    Use directshow:              no
    Use OpenCV:                  yes (ver 4.8.1)
    Use FLIR Flycapture:         no
    Use Basler Pylon:            no
    Use IDS uEye:                no

  RGB-D sensors:
    Use Realsense:               no
    Use Realsense2:              yes (ver 2.54.1)
    Use Occipital Structure:     no
    Use Kinect:                  no
    \- Use libfreenect:          no
    \- Use libusb-1:             no
    \- Use pthread:              yes
    Use PCL:                     no
    \- Use VTK:                  no

  F/T sensors:
    Use atidaq (built-in):       no
    Use comedi:                  no
    Use IIT SDK:                 no

  Mocap:
    Use Qualisys:                no
    Use Vicon:                   no

  Detection:
    Use zbar:                    no
    Use dmtx:                    no
    Use AprilTag (built-in):     yes (ver 3.1.1)
    \- Use AprilTag big family:  no

  Misc:
    Use Clipper (built-in):      yes (ver 6.4.2)
    Use pugixml (built-in):      yes (ver 1.9.0)
    Use libxml2:                 no
    Use json (nlohmann):         no

  Optimization:
    Use OpenMP:                  yes
    Use pthread:                 yes
    Use pthread (built-in):      no
    Use Simd (built-in):         yes (ver 4.9.109)

  DNN:
    Use CUDA Toolkit:            no
    Use TensorRT:                no

  Documentation:
    Use doxygen:                 no
    \- Use mathjax:              no

  Tests and samples:
    Use catch2 (built-in):       yes (ver 2.13.7)
    Tests:                       yes
    Demos:                       yes
    Examples:                    yes
    Tutorials:                   yes
    Dataset found:               no

  Library dirs:
    Eigen3 include dir:          $PREFIX/share/eigen3/cmake
    OpenCV dir:                  $PREFIX/lib/cmake/opencv4

  Install path:                  $PREFIX

==========================================================

Configuration for the Windows-64 Conda package

==========================================================
General configuration information for ViSP 3.6.0

  Version control:               unknown

  Platform:
    Timestamp:                   2023-10-23T18:06:34Z
    Host:                        Windows 10.0.20348 AMD64
    CMake:                       3.27.6
    CMake generator:             Ninja
    CMake build tool:            D:/bld/visp_1698083699413/_build_env/Library/bin/ninja.exe
    MSVC:                        1929
    Configuration:               Release

  System information:
    Number of CPU logical cores: 2
    Number of CPU physical cores: 2
    Total physical memory (in MiB): 7167
    OS name:                     Windows
    OS release:                  DataCenter Server
    OS version:                  (Build 20348)
    OS platform:                 AMD64
    CPU name:                    Unknown P6 family
    Is the CPU 64-bit?           yes
    Does the CPU have FPU?       yes
    CPU optimization:

  C/C++:
    Built as dynamic libs?:      yes
    C++ Compiler:                D:/bld/visp_1698083699413/_build_env/Library/bin/clang-cl.exe  (ver 17.0.3)
    C++ flags (Release):         /DWIN32 /D_WINDOWS /W3 /GR /EHsc /MP2   -Wall -Wextra -Xclang -fopenmp -fvisibility=hidden -msse2 -msse3 -mssse3 /Gy /bigobj /MD /O2 /Ob2 /DNDEBUG
    C++ flags (Debug):           /DWIN32 /D_WINDOWS /W3 /GR /EHsc /MP2   -Wall -Wextra -Xclang -fopenmp -fvisibility=hidden -msse2 -msse3 -mssse3 /Gy /bigobj /MDd /Zi /Ob0 /Od /RTC1
    C Compiler:                  D:/bld/visp_1698083699413/_build_env/Library/bin/clang-cl.exe
    C flags (Release):           /DWIN32 /D_WINDOWS /W3   /MP2   -Wall -Wextra -Xclang -fopenmp -fvisibility=hidden -msse2 -msse3 -mssse3 /MD /O2 /Ob2 /DNDEBUG
    C flags (Debug):             /DWIN32 /D_WINDOWS /W3   /MP2   -Wall -Wextra -Xclang -fopenmp -fvisibility=hidden -msse2 -msse3 -mssse3 /MDd /Zi /Ob0 /Od /RTC1
    Linker flags (Release):      /machine:x64 /INCREMENTAL:NO
    Linker flags (Debug):        /machine:x64 /debug /INCREMENTAL /ignore:4099
    Use cxx standard:            17

  ViSP modules:
    To be built:                 core gui imgproc io java_bindings_generator klt me sensor ar blob robot visual_features vs vision detection mbt tt tt_mi
    Disabled:                    -
    Disabled by dependency:      -
    Unavailable:                 java

  Windows RT support:            no

  Python (for build):            D:/bld/visp_1698083699413/_h_env/python.exe

  Java:
    ant:                         no
    JNI:                         C:/Program Files/Microsoft/jdk-11.0.16.101-hotspot/include C:/Program Files/Microsoft/jdk-11.0.16.101-hotspot/include/win32 C:/Program Files/Microsoft/jdk-11.0.16.101-hotspot/include

  Build options:
    Build deprecated:            yes
    Build with moment combine:   no

  OpenCV:
    Version:                     4.8.1
    Modules:                     calib3d core dnn features2d flann gapi highgui imgcodecs imgproc ml objdetect photo stitching video videoio alphamat aruco bgsegm ccalib cvv datasets dnn_objdetect dnn_superres dpm face freetype fuzzy hdf hfs img_hash intensity_transform line_descriptor mcc optflow phase_unwrapping plot quality rapid reg rgbd saliency shape stereo structured_light superres surface_matching text tracking videostab wechat_qrcode xfeatures2d ximgproc xobjdetect xphoto
    OpenCV dir:                  D:/bld/visp_1698083699413/_h_env/Library/cmake

  Mathematics:
    Blas/Lapack:                 yes
    \- Use MKL:                  no
    \- Use OpenBLAS:             no
    \- Use Atlas:                no
    \- Use Netlib:               no
    \- Use GSL:                  no
    \- Use Lapack (built-in):    yes (ver 3.2.1)
    Use Eigen3:                  yes (ver 3.4.0)
    Use OpenCV:                  yes (ver 4.8.1)

  Simulator:
    Ogre simulator:
    \- Use Ogre3D:               no
    \- Use OIS:                  no
    Coin simulator:
    \- Use Coin3D:               no
    \- Use SoWin:                no
    \- Use SoXt:                 no
    \- Use SoQt:                 no
    \- Use Qt5:                  no
    \- Use Qt4:                  no
    \- Use Qt3:                  no

  Media I/O:
    Use JPEG:                    yes (ver 80)
    Use PNG:                     yes (ver 1.6.39)
    \- Use ZLIB:                 yes (ver 1.2.13)
    Use OpenCV:                  yes (ver 4.8.1)
    Use stb_image (built-in):    yes (ver 2.27.0)
    Use TinyEXR (built-in):      yes (ver 1.0.2)

  Real robots:
    Use Afma4:                   no
    Use Afma6:                   no
    Use Franka:                  no
    Use Viper650:                no
    Use Viper850:                no
    Use ur_rtde:                 no
    Use Kinova Jaco:             no
    Use aria (Pioneer):          no
    Use PTU46:                   no
    Use Biclops PTU:             no
    Use Flir PTU SDK:            no
    Use MAVSDK:                  no
    Use Parrot ARSDK:            no
    \-Use ffmpeg:                no
    Use Virtuose:                no
    Use qbdevice (built-in):     yes (ver 2.6.0)
    Use takktile2 (built-in):    no

  GUI:
    Use X11:                     no
    Use GTK:                     no
    Use OpenCV:                  yes (ver 4.8.1)
    Use GDI:                     yes
    Use Direct3D:                no

  Cameras:
    Use DC1394-2.x:              no
    Use CMU 1394:                no
    Use V4L2:                    no
    Use directshow:              no
    Use OpenCV:                  yes (ver 4.8.1)
    Use FLIR Flycapture:         no
    Use Basler Pylon:            no
    Use IDS uEye:                no

  RGB-D sensors:
    Use Realsense:               no
    Use Realsense2:              no
    Use Occipital Structure:     no
    Use Kinect:                  no
    \- Use libfreenect:          no
    \- Use libusb-1:             no
    \- Use pthread:              no
    Use PCL:                     no
    \- Use VTK:                  no

  F/T sensors:
    Use atidaq (built-in):       no
    Use comedi:                  no
    Use IIT SDK:                 no

  Mocap:
    Use Qualisys:                no
    Use Vicon:                   no

  Detection:
    Use zbar:                    no
    Use dmtx:                    no
    Use AprilTag (built-in):     yes (ver 3.1.1)
    \- Use AprilTag big family:  no

  Misc:
    Use Clipper (built-in):      yes (ver 6.4.2)
    Use pugixml (built-in):      yes (ver 1.9.0)
    Use libxml2:                 no
    Use json (nlohmann):         no

  Optimization:
    Use OpenMP:                  yes
    Use pthread:                 no
    Use pthread (built-in):      yes (ver 3.0.1)
    Use Simd (built-in):         yes (ver 4.9.109)

  DNN:
    Use CUDA Toolkit:            no
    Use TensorRT:                no

  Documentation:
    Use doxygen:                 no
    \- Use mathjax:              no

  Tests and samples:
    Use catch2 (built-in):       yes (ver 2.13.7)
    Tests:                       yes
    Demos:                       yes
    Examples:                    yes
    Tutorials:                   yes
    Dataset found:               no

  Library dirs:
    Eigen3 include dir:          D:/bld/visp_1698083699413/_h_env/Library/share/eigen3/cmake
    OpenCV dir:                  D:/bld/visp_1698083699413/_h_env/Library/cmake

  Install path:                  D:/bld/visp_1698083699413/_h_env/Library

==========================================================

Next tutorial

You are now ready to see the next Tutorial: How to create and build a project that uses ViSP and CMake on Unix or Windows that will show you how to use ViSP as a 3rd party to build your own project.

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