Inspiration
It can be storage saver as well as a time saver website as it will extract images by performing sorting on them.
What it does
It takes input of images from the user and extract duplicate, blur, close eyes images. Special feature is that it can event detect emotion of a image.
How we built it
In our project we have multiple module such as closed eye detection, head tilt detection, duplicate image detection, applying filters in images , emotion recognition with blurred images detection We utilised mediapipe facial landmark algorithm to detect eye landmark and using those points to our prediction model to check if the photo has closed eye or not Implemented dlib library for emotion recognition For blur image identification used open cv module For applying filters in photo we used mediapipe, pilgrim, pillow, opencv
Challenges we ran into
Intergation of different modules into flask
Accomplishments that we're proud of
Implemented mediapipe and dlib facial recognition system
What we learned
Integration with flask Mediapipe Open cv
What's next for EventPix
We are aiming to apply mediapipe multiple facial recognition system for implementing in real life photograph also we are trying to intergrate all these modules so that it will automatically preprocess the images accordingly (Segregation of bad images).
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