nguyenhoan1988/install_dlib_conda.md

## install_dlib_conda.md

      
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              install_dlib_conda.md
            
          
    Installing dlib using conda with CUDA enabled

Prerequisite: conda and/or miniconda are already installed

Create a conda environment.

$ conda create -n dlib python=3.8 cmake ipython

Activate the environment.

$ conda activate dlib

Install CUDA and cuDNN with conda using nvidia channel

$ conda install cuda cudnn -c nvidia
Then find the path to the nvcc of this environment. We will use this path for the build step below
$which nvcc
/path/to/your/miniconda3/envs/dlib/bin/

Install dlib.
Clone and build dlib from source

$ git clone https://github.com/davisking/dlib.git
$ cd dlib
$ mkdir build
$ cd build
$ cmake .. -DDLIB_USE_CUDA=1 -DUSE_AVX_INSTRUCTIONS=1 -DCUDAToolkit_ROOT=/path/to/your/miniconda3/envs/dlib/bin/
$ cmake --build .
$ cd ..
$ python setup.py install --set DLIB_USE_CUDA=1

Test dlib

(dlib) $ ipython
Python 3.8.12 (default, Oct 12 2021, 13:49:34)
Type 'copyright', 'credits' or 'license' for more information
IPython 7.27.0 -- An enhanced Interactive Python. Type '?' for help.

In [1]: import dlib

In [2]: dlib.DLIB_USE_CUDA
Out[2]: True

In [3]: print(dlib.cuda.get_num_devices())
1
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