A python program (API) to mask facial features of one picture (face) onto another picture's facial frame
-
Updated
Jan 25, 2018 - Python
A python program (API) to mask facial features of one picture (face) onto another picture's facial frame
Code to generate G_seg, G_pos and G_app images from "Example-Based Synthesis of Stylized Facial Animations" by JAKUB FIŠER et al.
Cut file for Face Shield 135qty on 48x96 of 3mm PVC
Created website for Swanson School of Engineering Covid-19 Face Mask Open Source Design
Face-mask detection system using YOLOv3 in Keras
This is a simple python code which uses deep learning to detect whether a person is wearing a face mask or not.
In this time of Covid19, this project helps in detecting face masks with a score of 96% using deep learning
Deep Learning based Mask Detector using OpenCV for Python. Convolution Neural Network trained model using Keras on Tensorflow.
A simple mask detector on Google colab. Model trained using yolov4.
spec-shield is a curvature adjustable face shield that tackles undesirable reflections and can be mounted on spectacles.
This repository contains Face Mask Detection project made with python and basic image-processing.
A Python project making use of OpenCV and Haar-Cascade classifier to predict whether or not a person is wearing a mask.
Created a model that detects face mask trained on 7553 images with 3 color channels (RGB). On Custom CNN architecture Model training accuracy reached 94% and Validation accuracy 96%.
Detect the presence of a face-mask from live-video capture.
This repo contains a training setup for creating a model that can detect faces and label them as wearing\not wearing masks.
Live face-mask detection using CNN model
A machine learning model to identify if a person is wearing a face mask or not and if the face mask is worn properly.
Add a description, image, and links to the face-mask topic page so that developers can more easily learn about it.
To associate your repository with the face-mask topic, visit your repo's landing page and select "manage topics."