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
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Updated
May 24, 2020 - Python
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 landmarks detection with OpenCV, Dlib, DNN
Real-time selfie filters using facial keypoints regression and opencv
Think about boundary: Fusing multi-level boundary information for landmark heatmap regression.
This repository contains my implementation of a shape-constrained network which predicts up to 170 FPS
Facial Landmark Detection using OpenCV and Mediapipe
Facial Landmark detector - eyes, nose, mouth (CPU compute optimised, IoT capable)
Detecting Facial Keypoints (Landmarks) using a custom CNN architecture
Face Recognition using the face_recognition API
a computer vision project to recognize facial keypoints
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
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.
Facial keypoints detection using Haar Cascade and CNN.
A toy module to play with facial filters using face alignment models and some geometry.
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