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
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.
This repo includes all the projects I have finished in the Udacity Nanodegree programs
Real-time selfie filters using facial keypoints regression and opencv
Think about boundary: Fusing multi-level boundary information for landmark heatmap regression.
Built a Facial Keypoints Detection Model using a Convolutional Neural Network(CNN) that takes in any image with faces, predicts the location of 68 distinguishing Keypoints on each face and marks them at correct position on the face. Facial keypoints include points around the eyes, nose, and mouth on a face
Facial Keypoints Detection using tensorflow
15 Facial key-point recognition using Tensorflow from scratch
First project for CVND: facial keypoint detection.
Facial Landmarks Detection Project created with ❤️ in Pytorch
Detect facial features of images using OpenCV library and CNNs in PyTorch. 1st project of the Computer Vision Nanodegree and the most fun one.
facial key-points detecion (eyes, nose, mouth, etc) based on deep learning and computer vision techniques (CNN & OPENCV)
keypoints detection around the face for better face detection and face recognition.
Learning the basics of modern AI
Facial keypoint detection that takes in any image with facees
Udacity Computer Vision Nanodegree (Facial Keypoint Detection Project)
Project for Pattern Recognition
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