anmaomao

Pinned Repositories

designiot
教你设计物联网系统。构建自己的Internet of Things 。
Language:HTML10
The-Images-of-Groups-Dataset
Simplified Dataset which can be used for Facial Age Estimation
Language:Python10
Age-and-Gender-Estimation
An Android application utilising the OpenCV and Tensorflow frameworks to develop a mobile platform that can perform an estimation of age & gender of a subject in a given image.
Language:Java00
age-gender-estimation
Keras implementation of a CNN network for age and gender estimation
Language:Jupyter Notebook00
Age-Gender-estimation-1
Age estimation is the determination of a person’s age based on biometric features. Although age estimation can be accomplished using different biometric traits, our work is focused on facial age estimation that relies on biometric features extracted from a person’s face. In the area of computerized analysis of facial images for recognition, ethnicity classification, gender recognition, etc. the age estimation is a barely explored part. However recently the interest in this subject has significantly increased, due to its practical applications. For example there are age limitations for driving a car, buying alcohol, cigarettes, films, video games, etc. which should be obeyed, but the human skills of age estimation are very limited. So a computer system, which supports the responsible persons, would be helpful. It is well known that the human-computer interaction varies for different age groups, thus a system which automatically adapts its interface to the age of the current user would clear this problem. Face detection: To detect whether an image represent a face i.e. the general structure of face or not. General structure include forehead, eyes, nose, lips, chin etc.
Language:Python00
AgeEstimation
Age Estimation from Single Image
Language:Python00
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Language:Python00
aria2
aria2 is a lightweight multi-protocol & multi-source, cross platform download utility operated in command-line. It supports HTTP/HTTPS, FTP, SFTP, BitTorrent and Metalink.
Language:C++00
awesome-java-cn
Java资源大全中文版，包括开发库、开发工具、网站、博客、微信、微博等，由伯乐在线持续更新。
00
baidu-chain-dog
百度莱茨狗爬虫。
Language:Java00

anmaomao's Repositories

anmaomao/aria2
aria2 is a lightweight multi-protocol & multi-source, cross platform download utility operated in command-line. It supports HTTP/HTTPS, FTP, SFTP, BitTorrent and Metalink.
anmaomao/virtuoso-opensource
Virtuoso is a high-performance and scalable Multi-Model RDBMS, Data Integration Middleware, Linked Data Deployment, and HTTP Application Server Platform
anmaomao/CS-Notes
:books: 技术面试必备基础知识、Leetcode、Java、C++、Python、后端面试、计算机操作系统、计算机网络、系统设计
anmaomao/runoob-PDF-
把菜鸟教程www.runoob.com的网页转换成pdf并下载python_crawer_by_chrome
anmaomao/awesome-java-cn
Java资源大全中文版，包括开发库、开发工具、网站、博客、微信、微博等，由伯乐在线持续更新。
anmaomao/open-source-ios-apps
:iphone: Collaborative List of Open-Source iOS Apps
Language:Swift
anmaomao/AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Language:Python
anmaomao/CopyTranslator
Foreign language reading and translation assistant based on copy and translate.
Language:TypeScript
anmaomao/opencv_tutorial
基于OpenCV4.0 C++/Python SDK的案例代码演示程序与效果图像
Language:C++
anmaomao/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
anmaomao/MAX-Facial-Age-Estimator-Web-App
Create a web app to show the age estimation from the detected human faces
Language:Python
anmaomao/age-gender-estimation
Keras implementation of a CNN network for age and gender estimation
Language:Jupyter Notebook
anmaomao/github
GitHub 漫游指南- a Chinese ebook on how to build a good project on Github. Explore the users' behavior. Find some thing interest.
Language:Rich Text Format
anmaomao/RevokeChinaCerts
Revoke China certificates.
Language:Shell
anmaomao/Face-Swap
Face swapping, Image morphing, Image warping.
anmaomao/breeze-icons
Breeze icon theme.
Language:C++
anmaomao/neurolab
Neurolab is a simple and powerful Neural Network Library for Python
Language:Python
anmaomao/repractise
RePractise
Language:Rich Text Format
anmaomao/SSR-Net
[IJCAI18] SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation
Language:Python
anmaomao/AgeEstimation
Age Estimation from Single Image
Language:Python
anmaomao/vlmcsd
KMS Emulator in C (currently runs on Linux including Android, FreeBSD, Solaris, Minix, Mac OS, iOS, Windows with or without Cygwin)
Language:C
anmaomao/human-ai
Human related analysis based on image, including number of human, number of face, gender and age estimation
Language:Python
anmaomao/gender_age_estimation_mxnet
This is a mxnet version implementation of SSR-Net for age and gender Estimation
Language:Python
anmaomao/rude-carnie
Age/Gender detection in Tensorflow
Language:Python
anmaomao/growth-in-action
全栈增长工程师实战
Language:HTML
anmaomao/Age-and-Gender-Estimation
An Android application utilising the OpenCV and Tensorflow frameworks to develop a mobile platform that can perform an estimation of age & gender of a subject in a given image.
Language:Java
anmaomao/noMeiryoUI
No!! MeiryoUI is Windows system font setting tool on Windows 8.1/10.
Language:C++
anmaomao/the-best-docker-books
Free Docker eBooks
anmaomao/Age-Gender-estimation-1
Age estimation is the determination of a person’s age based on biometric features. Although age estimation can be accomplished using different biometric traits, our work is focused on facial age estimation that relies on biometric features extracted from a person’s face. In the area of computerized analysis of facial images for recognition, ethnicity classification, gender recognition, etc. the age estimation is a barely explored part. However recently the interest in this subject has significantly increased, due to its practical applications. For example there are age limitations for driving a car, buying alcohol, cigarettes, films, video games, etc. which should be obeyed, but the human skills of age estimation are very limited. So a computer system, which supports the responsible persons, would be helpful. It is well known that the human-computer interaction varies for different age groups, thus a system which automatically adapts its interface to the age of the current user would clear this problem. Face detection: To detect whether an image represent a face i.e. the general structure of face or not. General structure include forehead, eyes, nose, lips, chin etc.
Language:Python
anmaomao/Image-based-Human-Age-and-Gender-Estimation
Approach: Age estimation by first extracting Biologically Inspired Features(BIF), and then applying Kernel Partial Least Square Regression algorithm.
Language:MATLAB