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face_classification icon face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

face_express icon face_express

The deep learning model which recognizes facial expressions in a given image

face_recognition icon face_recognition

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。

facetools icon facetools

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

facial-emotion-detection-using-convolutional-neural-networks-and-representational-autoencoder-units icon facial-emotion-detection-using-convolutional-neural-networks-and-representational-autoencoder-units

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.

facial-emotion-recognition icon facial-emotion-recognition

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-7 icon facial-expression-recognition-7

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

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