smile-detection

Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.

The python code detects different landmarks on the face and predicts the emotions such as smile based on it. It automatically takes a photo of that person when he smiles. Also when the two eyebrows are lifted up, the system plays a music automatically and the music stops when you blink your right eye.

A Deeplearning based AI project which can recognize smile in the pictures ^__^

This is an OpenCV application for face, eyes, smile detection. It uses haarcascade provided by OpenCV

A simple face and smile detector for Raspberry Pi and Sense HAT.

Face detection and replace stikers with face, eye and lip - face align with eyes

Smile - Emotion - Gender - Age Multi-task learning using BKNet and ResNet

In this paper, we propose an architecture of Convolutional Neural Network (CNN) which can jointly learn representations for three tasks: smile detection, gender and age classification.

How to make a Smile Detector using opencv

Image Style Transfer onto Real-time Smile Detected captured images

A repository of notebooks with cnn for identifying different emotions in different combinations

A face, eyes, and smile detector using Haar-like features with OpenCV.

Smile Detector - using OpenCV to detect smiling faces in a video or live webcam

A Realtime Smile Detection Application built using OpenCV in Python detects a smile on the face.

ARKit+Smile detection+Selfie

A sample app to test the capabilities of Firebase MLKit in app features.

Smile Detection using open cv and haar cascades

:)

A very simple implementaion of python and opencv to detect faces and smiles in a frame or web cam.

Face and Smile Detection using OpenCV library and few pre coded haar cascade classifiers

Python projects with OpenCV&Tkinter webcam recognition system

Detects the smiling face and shows the laughing level.

It's a basic program that uses the primary camera on the laptop to detect a smile on the face.

In this project 4 distinct tasks (gender detection (A1), smile detection (A2), face-shape recognition (B1), eye-color recognition (B2)) are adressed following 4 different approaches and exploiting the potentialities of CNNs and HOG descriptors along with SVMs.

My first brush with haar training in line with the paper by Viola and Jones, "Rapid object detection using a boosted cascade of simple features", Computer Vision and Pattern Recognition, 2001

To detect and track a face in a picture, we used Firebase ML Kit, a tool that tries to simplify bringing machine learning algorithms to mobile devices. When it comes to face detection and tracking, ML Kit gives us the ability to provide pictures to a FirebaseVisionFaceDetector and then receive callbacks with information about the faces in that picture.

Face and Smile Detector using OpenCV