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facial-expression-recognition

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AIML-Human-Attributes-Detection-with-Facial-Feature-Extraction

weblineindia / AIML-Human-Attributes-Detection-with-Facial-Feature-Extraction

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This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.

machine-learning mxnet machine-learning-algorithms aiml artificial-intelligence facial-recognition face-recognition gender-recognition age-recognition facenet gender-classification facial-expression-recognition emotion-detection artificial-intelligence-algorithms emotion-recognition gender-prediction facenet-trained-models facial-attributes mxnet-imageclassification facial-features-extraction
  • Updated Sep 22, 2020
  • Python

SanjayMarreddi / Emotion-Investigator

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Think of Practical Applications and How to apply our project there ? 💡

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SanjayMarreddi
SanjayMarreddi commented Dec 24, 2020

Here are some popular Practical Applications of Facial Expression Recognition :

  • During Interviews
  • Students activeness during Online Education
  • Real-time monitoring of physically disabled patients.

STEPS to Proceed :

  1. Once you think of an Application, Try to figure out what additional Tech Stack is required to implement that.
  2. If you are already familiar with the Tech Stack,
Read more
good first issue question Level-1 Level-2

liminze / Real-time-Facial-Expression-Recognition-and-Fast-Face-Detection

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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.

real-time tensorflow keras face-detection facial-expression-recognition
  • Updated Jul 22, 2019
  • Python

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