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Face recognition system
人脸识别系统
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
人脸表情识别
The deep learning model which recognizes facial expressions in a given image
项目名称为:自建数据集人脸识别。该项目利用电脑自带摄像头或者已有照片进行人脸数据集建立,再进行人脸检测,人脸识别,人脸预测,包括数据采集、数据预处理、建模、模型训练、模型使用预测全过程。项目使用Openc3进行数据采集、数据预处理,Keras 进行建模,模型参考了VGG16网络,包含4个卷积层,5个LeRu层,2个池化层,3个Dropout层,2个全连接层,1个flatten层,1个分类层,共18层。
Matlab PCA 人脸识别
人脸识别系统
Face recognition using Tensorflow
a simple FaceRecognition system
基于TensorFlow训练的人脸识别神经网络
A Face recognition system using Deep Neural Networks
一键人脸归一化处理工具,包括人脸检测,人脸关键点检测,基于关键点的人脸对齐
This work showcases two independent methods for recognizing emotions from faces. The first method using representational autoencoder units, a fairly original idea, to classify an image among one of the seven different emotions. The second method uses a 8-layer convolutional neural network which has an original and unique design, and was developed from scratch. The models were trained on the JAFFE dataset, and we tested on a seperate JAFFE test set and a subjectively labeled Labeled Faces in the Wild data set.
A survey of deterministic, unsupervised, and supervised learning approaches to the fer2013 challenge. The dataset can be found here: https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/data.
Facial Expression Recognition
Facial Expression Prediction with Deep Learning
Facial expression recognition deep learning examples
Facial-Expression-Recognition in TensorFlow. Detecting faces in video and recognize the expression(emotion).
Predicting facial expressions with machine learning algorithms
Facial expression recognition with Deep Learning.
Convolution Neural Network for Facial Expressions Classification
using tensorflow in python to build a CNN model and recognize the people's facial expression in image or video or camera.
Classify each facial image into one of the seven facial emotion categories considered using CNN
The main purpose of the project - recognition of emotions based on facial expressions. Cohn-Kanade data set (http://www.pitt.edu/~emotion/ck-spread.htm) is used for explorations and training
:bulb:My Solution of Facial Emotion Recognization in Kaggle
Multi-class SVM classification
Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset
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