上传日期:2019-06-18 14:14:48
上 传 者peterson_dd
说明:  基于dlib框架的人脸检测、人脸识别算法,包含应用示例源码
(Face Detection and Recognition Algorithms Based on Dlib Framework, Including Application Example Source Code)

dlib-19.15 (0, 2018-08-03)
dlib-19.15\CMakeLists.txt (1632, 2018-07-13)
dlib-19.15\ISSUE_TEMPLATE.md (2412, 2018-07-13)
dlib-19.15\MANIFEST.in (256, 2018-07-13)
dlib-19.15\dlib (0, 2018-08-03)
dlib-19.15\dlib\CMakeLists.txt (40777, 2018-07-13)
dlib-19.15\dlib\LICENSE.txt (1337, 2018-07-13)
dlib-19.15\dlib\algs.h (41979, 2018-07-13)
dlib-19.15\dlib\all (0, 2018-08-03)
dlib-19.15\dlib\all\source.cpp (3192, 2018-07-13)
dlib-19.15\dlib\any (0, 2018-08-03)
dlib-19.15\dlib\any\any.h (3855, 2018-07-13)
dlib-19.15\dlib\any\any_abstract.h (6057, 2018-07-13)
dlib-19.15\dlib\any\any_decision_function.h (5040, 2018-07-13)
dlib-19.15\dlib\any\any_decision_function_abstract.h (6641, 2018-07-13)
dlib-19.15\dlib\any\any_function.h (26787, 2018-07-13)
dlib-19.15\dlib\any\any_function_abstract.h (9169, 2018-07-13)
dlib-19.15\dlib\any\any_function_impl.h (17219, 2018-07-13)
dlib-19.15\dlib\any\any_function_impl2.h (1751, 2018-07-13)
dlib-19.15\dlib\any\any_trainer.h (5246, 2018-07-13)
dlib-19.15\dlib\any\any_trainer_abstract.h (7049, 2018-07-13)
dlib-19.15\dlib\any.h (308, 2018-07-13)
dlib-19.15\dlib\appveyor (0, 2018-08-03)
dlib-19.15\dlib\appveyor\dtest.yml (651, 2018-07-13)
dlib-19.15\dlib\appveyor\dtest_vc2017.yml (678, 2018-07-13)
dlib-19.15\dlib\appveyor\examples.yml (403, 2018-07-13)
dlib-19.15\dlib\appveyor\python.yml (377, 2018-07-13)
dlib-19.15\dlib\array (0, 2018-08-03)
dlib-19.15\dlib\array\array_kernel.h (20275, 2018-07-13)
dlib-19.15\dlib\array\array_kernel_abstract.h (11512, 2018-07-13)
dlib-19.15\dlib\array\array_tools.h (937, 2018-07-13)
dlib-19.15\dlib\array\array_tools_abstract.h (1113, 2018-07-13)
dlib-19.15\dlib\array.h (257, 2018-07-13)
dlib-19.15\dlib\array2d (0, 2018-08-03)
dlib-19.15\dlib\array2d\array2d_generic_image.h (1583, 2018-07-13)
dlib-19.15\dlib\array2d\array2d_kernel.h (13471, 2018-07-13)
dlib-19.15\dlib\array2d\array2d_kernel_abstract.h (10012, 2018-07-13)
dlib-19.15\dlib\array2d\serialize_pixel_overloads.h (10715, 2018-07-13)
dlib-19.15\dlib\array2d.h (328, 2018-07-13)
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# dlib C++ library [![Travis Status](https://travis-ci.org/davisking/dlib.svg?branch=master)](https://travis-ci.org/davisking/dlib) 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](http://dlib.net) for the main project documentation and API reference. ## Compiling dlib C++ example programs Go into the examples folder and type: ```bash 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: ```bash mkdir build; cd build; cmake .. -DUSE_AVX_INSTRUCTIONS=1; cmake --build . ``` Doing so will make some things run faster. Finally, Visual Studio users should usually do everything in ***bit mode. By default Visual Studio is 32bit, both in its outputs and its own execution, so you have to explicitly tell it to use ***bits. Since it's not the 1990s anymore you probably want to use ***bits. Do that with a cmake invocation like this: ```bash cmake .. -G "Visual Studio 14 2015 Win***" -T host=x*** ``` ## Compiling your own C++ programs that use dlib The examples folder has a [CMake tutorial](https://github.com/davisking/dlib/blob/master/examples/CMakeLists.txt) that tells you what to do. There are also additional instructions on the [dlib web site](http://dlib.net/compile.html). ## Compiling dlib Python API Before you can run the Python example programs you must compile dlib. Type: ```bash python setup.py install ``` ## Running the unit test suite Type the following to compile and run the dlib unit test suite: ```bash 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](https://github.com/davisking/dlib/blob/master/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. Version: 19.15 Date: Fri Jul 13 07:45:38 EDT 2018 Mercurial Revision ID: 8d356168c13d