All Projects → shravankumar147 → Facial-Landmark-Detection

shravankumar147 / Facial-Landmark-Detection

Licence: other
Facial Landmark Detection Framework

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to Facial-Landmark-Detection

Fast Face Android
👦 Fast-Face : Android App for Real-time Face Landmark Detection. You can check your landmarks in 60ms
Stars: ✭ 370 (+1021.21%)
Mutual labels:  face, dlib
AverageFaceDemo
Average face on android
Stars: ✭ 31 (-6.06%)
Mutual labels:  face, dlib
Facecapture
an Android app kind like Facerig(but simpler)
Stars: ✭ 325 (+884.85%)
Mutual labels:  face, dlib
Anonymize Video
Replace faces in a video with imaginary persons generated by a progressive GAN deep neural network
Stars: ✭ 15 (-54.55%)
Mutual labels:  face, dlib
DeepVTB
🌌 OpenVTuber-虚拟アイドル共享计划 An application of real-time face and gaze analyzation via deep nerual networks.
Stars: ✭ 32 (-3.03%)
Mutual labels:  face, landmark-detection
Fatigue-Detection
Eye state classification using OpenCV and DLib to estimate Percentage Eye Closure (PERCLOS) and alert a drowsy person (such as a driver).
Stars: ✭ 46 (+39.39%)
Mutual labels:  dlib, landmark-detection
Faceswap
Real-time FaceSwap application built with OpenCV and dlib
Stars: ✭ 611 (+1751.52%)
Mutual labels:  face, dlib
Animeavataar
creating Anime Avataar from a facial image
Stars: ✭ 31 (-6.06%)
Mutual labels:  face, dlib
Android Hpe
Android native application to perform head pose estimation using images coming from the front camera.
Stars: ✭ 46 (+39.39%)
Mutual labels:  face, dlib
Face Swap Android
Realtime Face Swap Android NDK app full source code. Developed with OpenCV (http://opencv.org) and Dlib C++ (http://dlib.net).
Stars: ✭ 111 (+236.36%)
Mutual labels:  face, dlib
dlib-minified-models
A set of minified (but still accurate) models for Dlib
Stars: ✭ 61 (+84.85%)
Mutual labels:  dlib, landmark-detection
edge-tpu-servers
Object and face recognition using Google's edge TPU
Stars: ✭ 37 (+12.12%)
Mutual labels:  dlib
Eufa
A high efficient utility functions(encryption, machine learning, etc) library written in WebAssembly just for demo.
Stars: ✭ 28 (-15.15%)
Mutual labels:  dlib
jeelizPupillometry
Real-time pupillometry in the web browser using a 4K webcam video feed processed by this WebGL/Javascript library. 2 demo experiments are included.
Stars: ✭ 78 (+136.36%)
Mutual labels:  face
rl-medical
Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.
Stars: ✭ 36 (+9.09%)
Mutual labels:  landmark-detection
facenet-darknet-inference
Face recognition using facenet
Stars: ✭ 29 (-12.12%)
Mutual labels:  dlib
face normals cvpr17
Code for "Face Normals `in-the-wild' using Fully Convolutional Networks" (CVPR 17)
Stars: ✭ 45 (+36.36%)
Mutual labels:  face
FaceAttributeManipulation
An implementation of Learning Residual Images for Face Attribute Manipulation
Stars: ✭ 52 (+57.58%)
Mutual labels:  face
Universal Head 3DMM
This is a Project Page of 'Towards a complete 3D morphable model of the human head'
Stars: ✭ 138 (+318.18%)
Mutual labels:  face
simple faceswap
使用python-opencv和dlib实现的简单换脸程序
Stars: ✭ 50 (+51.52%)
Mutual labels:  dlib

Facial Landmark Detection

Overview

In this demo we will find the facial landmarks, such as eyes, nose, mouth, ears, jaw-line using the popular dlib library

Alt

Dependencies

pip install -r requirements.txt

You also need shape detector, you can download it by

wget http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2

Usage

python facelandmarkdetect.py --shape-predictor shape_predictor_68_face_landmarks.dat --image images/face1.jpg

Results

Alt

Reference

One Millisecond Face Alignment with an Ensemble of Regression Trees, Kazemi and Sullivan (2014).

Credits: My Guru: Adrian Rosebrock

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].