搜索资源列表
face_detect_py
- detect face by opencv python
OpenCV
- face detector program in python with xml file
Joint-Bayesian-master
- 联合贝叶斯代码，主要用于做人脸识别的，使用python语言写的-Joint Bayesian code, mainly used to make face recognition using python language to write
Haar
- 用python语言实现的基于Harr特征的人脸检测算法，可以用于人脸的检测，眼睛，鼻子等脸部五官的检测-Using python language based on the Harr feature-based face detection algorithm can be used for the detection of face, eyes, nose and other facial features detection
FaceRecognition_CNN(olivettifaces)
- 可以训练，并且对比出人脸识别的正确率，用python编写，很好的一个例子(Can be trained, and compare the correct rate of face recognition, written in python, a good example)
adaboost-py-master
- 这是基于python 编写的 adaboost源码 和说明，直接调用即可。(This package implements a framework of adaboost, the famous Machine Learning algorithm. It is widely used in face related issues such as Face Recognition.)
echarts.tar
- python的简单入门之常规的输出hello python 大法好(Beautiful is better than ugly. Explicit is better than implicit. Simple is better than complex. Complex is better than complicated. Flat is better than nested. Sparse is better than dense. Readability counts.
facepythonfile
- 两个关于人脸定位和人脸识别的python实现方法的简单代码。(Two simple code about the python implementation of face positioning and face recognition)
load_face_dataset.py
- 本节主要是讲解决用python在人脸识别中获取人脸的Jpg文件(This is code with get face code use cv2)
CroppedYale
- 通过神经网络利用matlab和python实现人脸识别(Face recognition using MATLAB and python through neural network)
FaceRecognition_CNN(olivettifaces)
- 卷积神经网络面部识别利用python 实现(Python implementation of convolution neural network face recognition)
face-SVM
- 用PCA和SVM实现人脸识别，是经典的人脸识别Python代码(Face recognition using PCA and SVM)
Chapter10
- 这是python机器学习实例这本书的第十章， 其中介绍了人脸识别(This is python machine learning this book chapter ten code, face recognition are introduced)
dlib-19.7.0-cp36-cp36m-win_amd64
- 比OpenCV更加精准的图片人脸检测Dlib库(Dlib Library for Image Face Detection with More Precision than OpenCV)
workAttendanceSystem
- 基于OpenCV的人脸视觉考勤系统 是python语言 要先安装dlib opencv的库(Face visual attendance system based on OpenCV)