搜索资源列表
facereclib-1.2.1
- python 人脸识别库 实现了几个标准的人脸识别算法-python face recgenation
ELM_code
- 极限学习机matlab以及Python程序，最近几年出现的较为新的人工神经网络算法，有基于人脸识别的例子，由作者原网站下载，可运行。-Extreme Learning Machine matlab and Python program, more new artificial neural network algorithm emerged in recent years, there are examples of face recognition based on the original
face-landmark-localization-master
- 使用caffe 进行人脸关键点检测，共68个关键点，使用的语言是python。-Caffe use for face detection key points, a total of 68 key points, the language used is python.
FaceRecognition_CNN(olivettifaces)
- 将CNN应用于人脸识别的流程，程序基于Python+numpy+theano+PIL开发，采用类似LeNet5的CNN模型，应用于olivettifaces人脸数据库，实现人脸识别的功能-CNN is applied to the process of face recognition. The program is based on Python+ numpy+ theano+ PIL development, and uses CNN model like LeNet5, which is
test
- 人脸标签检测制作,通过python脚本。(face dectectiong labels)
face_recognition
- 一段人脸识别的python程序代码，请各位python友友们查验和指正(A face recognition Python code, please check and python friends.)
SVM_face_recognition
- 基于python的使用SVM的算法实现人脸的识别程序(Face recognition program based on Python based algorithm using SVM)
源码、素材以及效果图
- 项目名称：自动添加圣诞帽 自动识别图片中的人脸信息，为其加上帽圣诞帽。(Name of the project: automatically add a Christmas hat Automatically identify the face information in the picture and add a hat to the hat.)
FaceRecognition-master
- 卷积神经网络实现人脸识别，是用Python写的(Face recognition by convolution neural network)
face_recognition-master
- USB摄像头人脸检测与识别，实时分析，实时获取人脸部信息，python语言开发。(Face detection and recognition of USB camera and real-time analysis.)
03SVM
- 支持向量机的python实现和用于lfw人脸识别的示例(Python implementation of support vector machines and examples of LFW face recognition)
Intelligent-monitoring-platform
- 智能监控平台的网站服务基于Flask开源框架，图像识别与信息提取功能则基于cv2和tensorflow等一系列相关的第三方库。以网页的形式进行人脸识别、目标检测、目标跟踪等，并且可以存储相关的操作记录、用户登录、管理员登录(Intelligent monitoring platform's website service is based on Flask open source framework, while image recognition and information extract
深度学习mtcnn
- 用市面上的摄像头，可以实现实时人脸识别功能。(The algorithm model of facenet face recognition is obtained through deep learning, and the backbone network of feature extraction is concept-resnetv1, which is developed from concept network and RESNET, with more channels and n