There are several ways to install CMake, depending on your platform.
Install Cmake Dlib Python Installer
Windows
There are pre-compiled binaries available on the Download page for Windows as MSI packages and ZIP files. One may alternatively download and build CMake from source. The Download page also provides source releases. In order to build CMake from a source tree on Windows, you must first install the latest binary version of CMake because it is used for building the source tree. Once the binary is installed, run it on CMake as you would any other project. Typically this means selecting CMake as the Source directory and then selecting a binary directory for the resulting executables.
Linux, macOS, UNIX
Python Install Dlib
There are pre-compiled binaries available on the Download page for some UNIX platforms. One may alternatively download and build CMake from source. The Download page provides source releases. There are two possible approaches for building CMake from a source tree. If there is no existing CMake installation, a bootstrap script is provided:
- Run path to venv python.exe -m pip install facerecognition to install facerecognition. Way two (recommended if you have only one version of python installed (3.6 or older)) Run pip install dlib and wait for this to run - it took ten minutes on my intel i7 core, and made the fan go crazy, so be prepared to wait.
- In this part, you’ll learn how to install Dlib on WSl 2+Ubuntu. So you can recognize a human face. Nvidia Cuda can accelerate C or Python by GPU power. And we can test Cuda with Docker. Here is the menu. Install CMake 🐰2. Install DLib with Python 3 🚁3. +NVidia CUDA 11 Support.
- Now we can install dlib into our python environment. First of all, you need to install CMake library. Pip install cmake. Then, you can install dlib library using pip install. Pip install dlib.
- Cannot Install Dlib for Python on Windows 10. Following you comment I installed both py2.7 & py3.6 and retried install with no success. Cmake command that was run.
Dlib Python Examples
(Note: the make install step is optional, cmake will run from the build directory.)
Python Dlib
By default bootstrap will build CMake without any debug or optimization flags. To enable optimizations you will need to specify the CMAKE_BUILD_TYPE
option to bootstrap like this: ./bootstrap -- -DCMAKE_BUILD_TYPE:STRING=Release
(If you are installing Dlib to an existing environment, you can skip to the 'verify CMake is installed' step). On command prompt or terminal, run: conda create -name dlib-py37 python = 3.7 anaconda.
For more options with bootstrap, run ./bootstrap --help
.
Or, an existing CMake installation can be used to build a new version:
(Note: the make install step is optional, cmake will run from the build directory.) If you are not using the GNU C++ compiler, you need to tell the bootstrap script (or cmake) which compiler you want to use. This is done by setting the environment variables CC and CXX before running it. For example: