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LeeCheer00/caffe-pyqt-face_recognition

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db
db
 
 
deep_model
deep_model
 
 
dlib_model
dlib_model
 
 
project_full_code
project_full_code
 
 
6.png
6.png
 
 
README.md
README.md
 
 
begin.png
begin.png
 
 
emotion.png
emotion.png
 
 
gender.png
gender.png
 
 
landermark.png
landermark.png
 
 

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Deep learning, after train model, we deploy caffe model.

cd project_full_code // enter the folder
python main.py //To run the code.

The software begin.1

Click the button "START",Start the face recognition.2

Click the button "Landmark",open or end the function of Landmark recognition.3

Click the button "Gender",open or end the function of Gender recognition.4

Click the button "Emotion",open or end the function of Emotion recognition.5

Turn up or down the threshold, change the factor of safty.Increase the value of threshold,it's harder for us to pass the face verificationThreshold

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Data driving,Train model, CAFFE, opencv, dlib,PyQt4.

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