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Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset
A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset
A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)
? A content-based image retrieval (CBIR) system
Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream
? A voice chatbot that can imitate your expression. OpenCV+Dlib+Live2D+Moments Recorder+Turing Robot+Iflytek IAT+Iflytek TTS
Facial Expression Recognition with a deep neural network as a PyPI package
通过HOG+SVM训练进行行人检测,行人数据库使用INRIAPerson,程序基于OpenCV实现
Face Analysis: Detection, Age Gender Estimation & Recognition
[BMVC'23] Prompting Visual-Language Models for Dynamic Facial Expression Recognition
Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.