zeusees / Hyperft
Licence: apache-2.0
开源移动端快速视频人脸跟踪-移动端150FPS+
Stars: ✭ 300
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HyperFT
简介
开源视频人脸跟踪算法,基于mtcnn人脸加测+onet人脸跟踪，移动端速度可以达到150fps+。该项目基于Android工程，提供底层JNI实现，使用者可以自行编译移植到其他平台。算法依赖ncnn深度学习计算库，体积小，易于集成。
Demo(运行于 Ubuntu 18.04, i5-7400, NCNN)
如果你想要了解更多，请参考：
代码编译
环境准备
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Android Studio v3.5
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CMake:3.6.4
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Android SDK Platform-Tools：29.0.3
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Android SDK Tools：26.1.1
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NDK：r15c
依赖库
编译设置
1.设置Android NDK与Android SDK地址
2.修改CMake编译文件，在app/src/main/cpp/下修改CMakeLists.txt文件:
include_directories (D:/Wendell/Develop/libs/ncnn-android-lib/include)
include_directories(D:/Wendell/Develop/libs/OpenCV-android-sdk/sdk/native/jni/include)
set(OpenCV_DIR "D:/Wendell/Develop/libs/OpenCV-android-sdk/sdk/native/jni")
set_target_properties(libncnn PROPERTIES IMPORTED_LOCATION D:/Wendell/Develop/libs/ncnn-android-lib/${ANDROID_ABI}/libncnn.a)
相关资源
体验
TODO
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Sorry,目前还是需要依赖opencv，稍后提交精简版
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iOS Project Develop
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