dlib

davisking / dlib

一个用于构建真实世界机器学习和数据分析应用的C++工具包,提供算法、模型和实用组件。

C++ 数据科学

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dlib 是 C++ 机器学习库中的常青树,覆盖图像处理、人脸检测、深度学习、数值优化等丰富功能,API 设计清晰,文档详尽。适合需要高性能、可嵌入式部署的工业项目,尤其在人脸识别和物体检测领域久经考验。注意其构建依赖和编译时间较长,且部分现代深度学习特性不如 PyTorch 灵活,但作为传统 ML 与 C++ 集成方案仍极具价值。

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来自 GitHub README · master 分支

dlib C++ library

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.

Finally, Visual Studio users should usually do everything in 64bit mode. By default Visual Studio is 32bit, both in its outputs and its own execution, so you have to explicitly tell it to use 64bits. Since it's not the 1990s anymore you probably want to use 64bits. Do that with a cmake invocation like this:

cmake .. -G "Visual Studio 14 2015 Win64" -T host=x64

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.

Alternatively, if you are using the vcpkg dependency manager you can download and install dlib with CMake integration in a single command:

vcpkg install dlib

Compiling dlib Python API

Either fetch the latest stable release of dlib from PyPi and install that:

pip install dlib

Or fetch the very latest version from github and install that:

git clone https://github.com/davisking/dlib.git
cd dlib
pip install .

It's possible to change build settings by passing parameters to setup.py or DLIB_* environment variables. For example, setting the environment variable DLIB_NO_GUI_SUPPORT to ON will add the cmake option -DDLIB_NO_GUI_SUPPORT=ON.

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.

文档抓取自 GitHub 仓库 README,版权归原作者所有;已过滤徽章等噪音并经安全消毒后展示。