a computer vision project to recognize facial keypoints
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Updated
Aug 13, 2018 - Python
a computer vision project to recognize facial keypoints
Detect facial landmarks using OpenCV, dlib, Python
Detect different parts of the face such as, eyes brows, nose, jaw, etc. individually
A toy module to play with facial filters using face alignment models and some geometry.
Facial landmarks detection with OpenCV, Dlib, DNN
This repository contains my implementation of a shape-constrained network which predicts up to 170 FPS
Facial-Keypoints detection in Real time
Detecting Facial Keypoints (Landmarks) using a custom CNN architecture
Using dlib, OpenCV, and Python, to detect in real time how to open/closed eyes,mouth, position of the head, and the emotion
Implementation and Training of a CNN for Facial Keypoints Detection
Face Recognition using the face_recognition API
PyTorch implementation of "Super-Realtime Facial Landmark Detection and Shape Fitting by Deep Regression of Shape Model Parameters" predicting facial landmarks with up to 400 FPS
Facial keypoints detection using Haar Cascade and CNN.
Facial keypoints detection using Pytorch
Facial Landmark Detection using OpenCV and Mediapipe
Real-time Monitoring System using Computer Vision
Think about boundary: Fusing multi-level boundary information for landmark heatmap regression.
Use a webcam as a mirror to view your NYC/FB data identities
Facial Landmark detector - eyes, nose, mouth (CPU compute optimised, IoT capable)
Real-time selfie filters using facial keypoints regression and opencv
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