In this project I'm going to predict landmarks on face images.
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Updated
Oct 7, 2018 - Jupyter Notebook
In this project I'm going to predict landmarks on face images.
🧍 Human pose estimation using MediaPipe Pose & OpenCV for landmark detection, skeleton tracking, and activity analysis.
Real time hand detection and classification with landmark visualization. Works with any webcam for fast and efficient hand tracking.
2D Landmark Detection & Tracking using SLAM (Simultaneous localization and mapping)
High-performance facial landmark detection and tracking library by Deepixel. CPU-only, real-time inference using TensorFlow Lite, OpenCV, and DeepCore. Outputs 106 facial landmarks with head pose estimation and Python API support.
Python script to put facial features from one face onto another
ASL alphabet detection and recognition using python
🎥 CyberEye is an AI-powered Flask web app for detecting deepfakes in videos by analyzing facial landmarks and consistency. Upload videos, review frame-by-frame analysis, and get visual classification results with an intuitive interface.
In this project, you will apply the skills you have acquired in the Convolutional Neural Network (CNN) course to build a landmark classifier.
Mediapipe is a Python-based project that leverages the power of MediaPipe, OpenCV, and WebSockets to perform real-time video processing and hand tracking. This project is designed to process video frames, detect hand landmarks, classify hand types, and broadcast data using WebSockets for further processing or display.
A Buildings Doodle Classifier that identify landmarks based on user-drawn sketches, enabling real-time landmark recognition!
This repository contains my project code. I worked on Facial Landmark Detection via Webcam and uploaded Images and Videos.
Project for information security. We`re gonna recognize human emotions in the video.
Use Opencv and dlib to create a face detection and recognizer application to find if a detected face is unknown face or one of our members.
비대면 강의 중 학습자 상태 파악 AI 모듈 (‘20 2학기 제 2회 SM AI 경진대회)
RepDetect is an android mobile application for workout enthusiast which uses Google MediaPipe Pose landmark detection using MLKit to create a basic fitness application.
HandTrackPy is a real time hand tracking which detects and tracks multiple hands, providing key landmarks for gesture recognition and interactive applications.
Bayesian Landmark-based Shape Analysis
Python Implementation using the Convulation Neural Network.
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