OrgLion-ML
/
dlib
mirror of https://github.com/davisking/dlib.git
1
0
Fork 0
Code Issues Releases Wiki Activity
6,840 Commits 4 Branches 61 Tags 140 MiB
C++ 97.6%
Python 0.7%
Cuda 0.7%
CMake 0.6%
C 0.2%
Go to file
Davis King 6137540b27 Changed test_regression_function() and cross_validate_regression_trainer() to 
output 2 more statistics, which are the mean absolute error and the standard
deviation of the absolute error.  This means these functions now return 4D
rather than 2D vectors.

I also made test_regression_function() take a non-const reference to the
regression function so that DNN objects can be tested.
 		2017-11-10 16:56:37 -05:00
dlib Changed test_regression_function() and cross_validate_regression_trainer() to 2017-11-10 16:56:37 -05:00
docs updated docs 2017-11-06 07:37:29 -05:00
examples Fixed grammar in comment 2017-11-05 07:37:29 -05:00
python_examples Fixed bug 2017-10-18 10:17:46 -04:00
tools Changed graph construction for chinese_whispers() so that each face is always 2017-10-27 19:30:58 -04:00
.gitignore ignore dist directory as well as egg directories 2015-08-19 16:25:10 -07:00
.hgignore updated ignore file 2017-07-25 15:43:04 -04:00
.hgtags Added tag v19.7 for changeset fb51c77524ff 2017-09-17 08:28:29 -04:00
.travis.yml Try to get travis to give me new boost. 2017-07-11 19:35:56 -04:00
CMakeLists.txt Made top level cmake file not build a shared library if part of a subproject. 2017-10-29 08:42:02 -04:00
MANIFEST.in Fixed incorrect python manifest 2017-02-21 22:24:04 -05:00
README.md Made it more obvious that users should read the examples/CMakeLists.txt file. 2017-03-24 09:28:35 -04:00
appveyor.yml Don't use parallel builds since it makes appveyor run out of ram. Also 2017-05-14 19:40:10 -04:00
setup.py saving more pypi notes 2017-08-27 20:04:31 -04:00

README.md

dlib C++ library Travis Status

Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. See http://dlib.net for the main project documentation and API reference.

Compiling dlib C++ example programs

Go into the examples folder and type:

mkdir build; cd build; cmake .. ; cmake --build .

That will build all the examples. If you have a CPU that supports AVX instructions then turn them on like this:

mkdir build; cd build; cmake .. -DUSE_AVX_INSTRUCTIONS=1; cmake --build .

Doing so will make some things run faster.

Compiling your own C++ programs that use dlib

The examples folder has a CMake tutorial that tells you what to do. There are also additional instructions on the dlib web site.

Compiling dlib Python API

Before you can run the Python example programs you must compile dlib. Type:

python setup.py install

or type

python setup.py install --yes USE_AVX_INSTRUCTIONS

if you have a CPU that supports AVX instructions, since this makes some things run faster. Note that you need to have boost-python installed to compile the Python API.

Running the unit test suite

Type the following to compile and run the dlib unit test suite:

cd dlib/test
mkdir build
cd build
cmake ..
cmake --build . --config Release
./dtest --runall

Note that on windows your compiler might put the test executable in a subfolder called Release. If that's the case then you have to go to that folder before running the test.

This library is licensed under the Boost Software License, which can be found in dlib/LICENSE.txt. The long and short of the license is that you can use dlib however you like, even in closed source commercial software.

dlib sponsors

This research is based in part upon work supported by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA) under contract number 2014-14071600010. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of ODNI, IARPA, or the U.S. Government.