Kerolos2019 / Face-Recognition-web-app-in-Flask-and-Deployment

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Face-Recognition-web-app-in-Flask-and-Deployment

In this project we have our image dataset which consists of human faces , we will do some processes :

1)Detecting the faces

1-Detecting Faces using harcascaded classifier

2-crop the faces

3-label each image

2)structure images and labelling :

1-unstructured dimensions of cropped images to structured data dimensions

2-resizing

3)extract features:

1-eigen faces

2-using PCA to extract features from faces and get the numerical python array

  1. Machine Learning Model and Deployment :

using svc

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