machine_learning(PCA+SVM_face).rar

人脸识别AI 借助AI，它可以检测人脸 预习 它是使用AI库制作的 享受您功能强大的应用程序

face.kmodel facedetect.kmodel FD.smodel FE.smodel KP.smodel打包，人脸识别模块，可以放置在sd卡根目录，用于k210等开发板开发

人脸识别jar包

基于眨眼检测的实时人脸识别，内含完整代码与训练好的模型 haarcascade_eye_tree_eyeglasses.xml haarcascade_frontalface_alt.xml haarcascade_lefteye_2splits.xml haarcascade_righteye_2splits.xml lbpcascade_frontalface.xml model.h5 model.json

In this paper, we propose a Floor-Ladder Framework(FLN) based on age evolution rules to generate beautified human faces. Beside the shape of faces, younger faces achieve more attractiveness. Thus we process the beautiful face by applying the reversed aging rules. Inspired by the layered optimization methods, the FLN adopts three floors and each floor contains two ladders: the Single Layer Older Neural Network (SLONN) and the extended Skull Model. The Peak Shift algorithm is designed to train the

Regression-based face alignment approach is fast and accurate but is always limited by the initial face. Aim at limitation of initialization in regression methods, this paper presents a novel two-stage framework named salient-points-guided face alignment. In rst stage, we use cascade regression framework to train a salient points (eye centers, nose, mouth corners) localization model. Then the salient points information is used as a guidance for search- ing the similar faces from training set. I

emojipedia-db：:orange_book:Emojipedia —:grinning_face_with_big_eyes:Emojis数据库

testthat：一个R:package:进行测试:grinning_face:

一个完整的Angular入门项目 :smiling_face_with_heart-eyes: 表中的内容 入门 git clone https://github.com/truonghungit/angular-starter.git new-project cd new-project yarn yarn start 开发服务器 润yarn start或ng serve的开发服务器。 导航到http://localhost:4200/ 。 如果您更改任何源文件，该应用程序将自动重新加载。 建立 运行yarn build或ng build来构建项目。 构建工件将存储在dist/目录中。 运行yarn build:prod或``ng build --prod`进行生产构建。 运行单元测试 运行yarn test或ng test以通过执行单元测试。 运行yarn test:coverage或ng test --code-coverage以进行测试覆盖 运行端到端测试 运行ng e2e以通过执行端到端测试。 进一步的帮助 要获得有关Angular CLI的更多帮助，请使用ng help