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README
Apache-2.0

SeetaFace6

License

[中文]

开源模块

SeetaFace6是中科视拓最新开源的商业正式版本。突破了之前社区版和企业版版本不同步发布的情况,这次开源的v6版本正式与商用版本同步。

此次开源包含了一直以来人脸识别的基本部分,如人脸检测、关键点定位、人脸识别。同时增加了活体检测、质量评估、年龄性别估计。并且响应时事,开放了口罩检测以及戴口罩的人脸识别模型。

同时此次我们开源了商用版最新的推理引擎TenniS,ResNet50的推理速度,从SeetaFace2在I7的8FPS提升到了20FPS。同时人脸识别训练集也大幅度提高,SeetaFace6人脸识别数据量增加到了上亿张图片。

为了应对不同级别的应用需求,SeetaFace6将开放三个版本模型:

模型名称 网络结构 速度(I7-6700) 速度(RK3399) 特征长度
通用人脸识别 ResNet-50 57ms 300ms 1024
带口罩人脸识别 ResNet-50 34ms 150ms 512
通用人脸识别(小) Mobile FaceNet 9ms 70ms 512

作为能力兼容升级,SeetaFace6仍然能够给众多人脸识别应用提供业务能力。

同时该套算法适用于高精度的服务器部署外,也可以终端设备上很好的适应运行。

编译

下载源码

git clone --recursive https://github.com/SeetaFace6Open/index.git

编译依赖

  1. 编译工具
  2. For linux
    GNU Make 工具
    GCC 或者 Clang 编译器
  3. For windows
    MSVC 或者 MinGW.
    jom
  4. CMake
  5. 依赖架构
    CPU 支持 AVX 和 FMA [可选](x86)或 NENO(ARM)支持

编译顺序说明

OpenRoleZoo 为常用操作的集合,SeetaAuthorize 为模型解析工程,TenniS 为前向计算框架。需要重点说明的是,此次 TenniS 同时放出了 GPU 计算源码,可以编译出 GPU 版本进行使用。上述三个模块为基础模块,各个 SDK 的编译均依赖上述模块,因此需要优先编译出 OpenRoleZoo, SeetaAuthorize 和 TenniS,然后再进行其他 SDK 模块的编译。

各平台编译

linux 平台编译说明

cd ./craft
运行脚本 build.linux.x64.sh(gpu版本为 build.linux.x64_gpu.sh)

windows 平台编译说明

cd ./craft
执行脚本 build.win.vc14.all.cmd 编译各个版本的库(gpu版本为build.win.vc14.all_gpu.cmd)

Android 平台编译说明

  • 安装 ndk 编译工具(推荐版本 ndk-r16b)

  • 编译 各个模块均含有 android/jni/Android.mk 和 android/jni/Application.mk 两个编译脚本文件。

      cd 到各模块的 android/jni 目录
      执行 ndk-build -j4 编译
    

其他 arm 等交叉编译平台

当前版本并未直接对交叉编译平台进行支持, 不过可参考文章 cmake cross compile 的说明进行 CMake 配置和对应平台的编译。

下载地址

百度网盘

模型文件:
Part I: Download code: ngne, including: age_predictor.csta, face_landmarker_pts5.csta, fas_first.csta, pose_estimation.csta, eye_state.csta, face_landmarker_pts68.csta, fas_second.csta, quality_lbn.csta, face_detector.csta, face_recognizer.csta, gender_predictor.csta, face_landmarker_mask_pts5.csta, face_recognizer_mask.csta, mask_detector.csta.
Part II: Download code: t6j0,including: face_recognizer_light.csta.

Dropbox

Model files:
Part I: Download, including: age_predictor.csta, face_landmarker_pts5.csta, fas_first.csta, pose_estimation.csta, eye_state.csta, face_landmarker_pts68.csta, fas_second.csta, quality_lbn.csta, face_detector.csta, face_recognizer.csta, gender_predictor.csta, face_landmarker_mask_pts5.csta, face_recognizer_mask.csta, mask_detector.csta.
Part II: Download ,including: face_recognizer_light.csta.

使用入门

关于基本的接口使用,请参见教程: 《SeetaFace 入门教程》,github上有同步文档源码

人脸识别的完整示例Demo见 example/qt

在每个压缩包的文档中都包含了对应平台上的调用示例,请解压对应平台压缩包后分别获取。

接口文档

各模块接口参见 docs

开发者社区

欢迎开发者加入 SeetaFace 开发者社区,请先加 SeetaFace 小助手微信,经过审核后邀请入群。

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联系我们

SeetaFace 开源版可以免费用于商业和个人用途。如果需要更多的商业支持,请联系商务邮件 bd@seetatech.com

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