Pre-reqs:
- Have Python 3 installed. On macOS, this could be installed from homebrew or even via standard Python 3.6 downloaded installer from https://www.python.org/download. On Linux, just use your package manager.
- On macOS:
- Install XCode from the Mac App Store (or install the XCode command line utils).
- Have homebrew installed
- On Linux:
- For a full list of apt packages required, check out the example Dockerfile and copy what's installed there.
- These instructions assume you are using Ubuntu 16.04 or newer. If you are using 14.04, you can try these installation instructions instead to work around the old CMake version.
- These instructions assume you don't have an nVidia GPU and don't have Cuda and cuDNN installed and don't want GPU acceleration.
Clone the code from github:
git clone https://github.com/davisking/dlib.gitBuild the main dlib library (optional if you just want to use Python):
cd dlib
mkdir build; cd build; cmake ..; cmake --build .Build and install the Python extensions:
cd ..
python3 setup.py installAt this point, you should be able to run python3 and type import dlib successfully.
If you are looking for dlib with GPU support just check whether your cmake is finding CUDA or not?
You can check that while running cmake ... If you see following instruction then Dlib will use CUDA
-- Found CUDA: /usr/local/cuda (found suitable version "9.2", minimum required is "7.5")
-- Looking for cuDNN install...
-- Found cuDNN: /usr/local/cuda/lib/libcudnn.dylib
-- Building a CUDA test project to see if your compiler is compatible with CUDA...
-- Checking if you have the right version of cuDNN installed.
-- Enabling CUDA support for dlib. DLIB WILL USE CUDA
Thank but for linux just install cmake with sudo apt-get install cmake make it easier too