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OpenCV based multi face recognition model.Capture multiple Faces from multiple users to be stored on a DataBase (dataset directory) and their details (id,names) to be stored in a separate CSV file . A separate file for storing LBPH computed model.

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VikasSinghBhadouria/Multi-Face-Recognition

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Multi-Face-Recognition

OpenCV based multi face recognition model.(Python based ) Capture multiple Faces from multiple users to be stored on a DataBase (dataset directory) and their details (id,names) to be stored in a separate CSV file . A separate file for storing LBPH computed model.

Libraries needed : 1.OpenCV 2.PIL(For image Processing) 3.Pandas 4. Os

Create 2 directories :dataset ,trainer

Each separate Files for each independent function. 1.face_dataset.py= To create and update dataset by clcicking images from the camera(upto 30 ) and storing in dataset folder. 2.face.training.py= To create and update the trainer.yml using LBPH model on the dataset. 3.face_recognition.py= TO start the cam and recognize the faces on live video .

Based on original code by Anirban Kar: https://github.com/thecodacus/Face-Recognition

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OpenCV based multi face recognition model.Capture multiple Faces from multiple users to be stored on a DataBase (dataset directory) and their details (id,names) to be stored in a separate CSV file . A separate file for storing LBPH computed model.

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