Facial keypoints detection using Haar Cascade and CNN.
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Updated
Feb 27, 2021 - Python
Facial keypoints detection using Haar Cascade and CNN.
A toy module to play with facial filters using face alignment models and some geometry.
Real-time Monitoring System using Computer Vision
Use a webcam as a mirror to view your NYC/FB data identities
Facial-Keypoints detection in Real time
Detect different parts of the face such as, eyes brows, nose, jaw, etc. individually
Detect facial landmarks using OpenCV, dlib, Python
Facial Landmark Detection in Python, using OpenCV for real-time video capture and basic face detection. This project lays the groundwork for an advanced facial landmark model, utilizing a pre-trained face detection model and a custom-trained CNN for accurate facial landmark identification.
Upon sleep detection, the code will trigger notifications that include a combination of gentle vibrations on the watch and an escalating audio alert on the phone. This approach provides a multi-sensory wake-up cue to increase the user's chance of being roused from sleep.
Facial keypoints detection using Pytorch
Implementation and Training of a CNN for Facial Keypoints Detection
Using dlib, OpenCV, and Python, to detect in real time how to open/closed eyes,mouth, position of the head, and the emotion
a computer vision project to recognize facial keypoints
Face Recognition using the face_recognition API
Detecting Facial Keypoints (Landmarks) using a custom CNN architecture
Facial Landmark detector - eyes, nose, mouth (CPU compute optimised, IoT capable)
Facial Landmark Detection using OpenCV and Mediapipe
This repository contains my implementation of a shape-constrained network which predicts up to 170 FPS
Think about boundary: Fusing multi-level boundary information for landmark heatmap regression.
Real-time selfie filters using facial keypoints regression and opencv
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