This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
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Updated
Aug 12, 2022 - Python
This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
Four landmark detection algorithms, implemented in PyTorch.
Python library for analysing faces using PyTorch
Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream
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
Implementation of PFLD For 68 Facial Landmarks By Pytorch
[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition
The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.
A TensorFlow implementation of HRNet for facial landmark detection.
Facial-Landmarks Detection based animating application similar to Apple-Animoji™
drowsiness detection
A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"
This deep learning application can detect Facial Keypoints (15 unique points). They mark important areas of the face - the eyes, corners of the mouth, the nose, etc.
[CVPRW'17, FG'17] Robust FEC-CNN: A High Accuracy Facial Landmark Detection System
Code to generate a face morphing effect between two faces.
[ACM MM 2019 Oral] Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation
My experiments in lip reading using deep learning with the LRW dataset
Code example demonstrating how to detect eyes, nose, lips, and jaw with dlib, OpenCV, and Python
The python code detects different landmarks on the face and predicts the emotions such as smile based on it. It automatically takes a photo of that person when he smiles. Also when the two eyebrows are lifted up, the system plays a music automatically and the music stops when you blink your right eye.
[CVPR 2020] MERL-RAV Dataset contains over 19k faces annotated with 68 landmarks, with the additional information of whether each landmark is unoccluded, self-occluded or externally occluded.
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