GitHub - armendradahal/Django_face_recognition: This is a proof of concept application that allows the Django platform to leverage opencv libraries via python to a web interface. Simple Haar classifiers xml from openCV samples were obtained and face / eyes / edge detection algorithms were triggered to be processed on the "Cloud"! Its not very efficient though.. sending pictures over the internet is a lot of processing in itself.. this was just for fun. and i had to use bash scripts to get some stuff done, so this code only works on a linux LAMP stack.

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
face detection		face detection
image_manip		image_manip
website		website
README		README

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this project was developed as a face recognition system that can be used over a Django server to open the clients webcam and use the python bindings of openCV to perform Harr CLassification on the faces detected.

facedetection : contains the source code of the openCV application used to perform the face recognition via the haarclascade XML files.
image_manip : contains the C code to open the webcam and take snapshots and store them into the pics folder.
website : this folder is the django servr application whose python scripts are linked to the above two applications.

This project requires openCV and various python bindings to work properly. i did a lot of dirty hacks to get this ready on time for a project review.
but the code should give you a starting point to building it yourselves.

if you do need any help, ping me at [email protected] for any help insofar as i can offer you.

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This is a proof of concept application that allows the Django platform to leverage opencv libraries via python to a web interface. Simple Haar classifiers xml from openCV samples were obtained and face / eyes / edge detection algorithms were triggered to be processed on the "Cloud"! Its not very efficient though.. sending pictures over the inter…

Readme