Real-time-Facial-Expression-Recognition-and-Fast-Face-Detection
Real-time facial expression recognition and fast face detection based on Keras CNN. Training and testing on both Fer2013 and CK+ facial expression data sets have achieved good results. The speed is 78 fps on NVIDIA 1080Ti. If only face detection is performed, the speed can reach 158 fps. Finally, an emotional monitoring system was developed based on it.
How to download and setup Real-time-Facial-Expression-Recognition-and-Fast-Face-Detection
Open terminal and run command
git clone https://github.com/liminze/Real-time-Facial-Expression-Recognition-and-Fast-Face-Detection.git
git clone is used to create a copy or clone of Real-time-Facial-Expression-Recognition-and-Fast-Face-Detection repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with Real-time-Facial-Expression-Recognition-and-Fast-Face-Detection https://github.com/liminze/Real-time-Facial-Expression-Recognition-and-Fast-Face-Detection/archive/master.zip
Or simply clone Real-time-Facial-Expression-Recognition-and-Fast-Face-Detection with SSH
[email protected]:liminze/Real-time-Facial-Expression-Recognition-and-Fast-Face-Detection.git
If you have some problems with Real-time-Facial-Expression-Recognition-and-Fast-Face-Detection
You may open issue on Real-time-Facial-Expression-Recognition-and-Fast-Face-Detection support forum (system) here: https://github.com/liminze/Real-time-Facial-Expression-Recognition-and-Fast-Face-Detection/issuesSimilar to Real-time-Facial-Expression-Recognition-and-Fast-Face-Detection repositories
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