Python wrapper for the dlib model with automated model download and predict functionalities.

Python script to put facial features from one face onto another

Emotion recognition using DL, different architectures compared. Two new datasets contributed using Facial Landmarking. Pytorch implementation.

ASL alphabet detection and recognition using python

Train-Predict-Landmarks-by-Autoencoder

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.

Train Predict Landmarks by Multi-context attention

Here I Update All My Computer Vision Works From Start To Never Ending..🙂

Application impose `mask sticker` on image.

HackCambridge in 2019

In this tutorial, we will learn Hand Tracking in real-time. The best part is we don’t have to configure 100 parameters along with 20 installs to make it run. Within 5 to 10 mins you will have your model working. Video Link - https://youtu.be/C1MUbMW3g50

face&landmark detection

비대면 강의 중 학습자 상태 파악 AI 모듈 (‘20 2학기 제 2회 SM AI 경진대회)

Hand Cricket with computer using Opencv and Mediapipe

Deadlift-o-Meter is a project that utilizes a Scikit-Learn model, Mediapipe, and Tkinter to count correct deadlift reps using a live webcam feed. The application analyzes the user's body movements and provides real-time feedback on their performance.

Train-Predict-Landmarks-by-RCN

Landmark detection by shapenet

Protect facial images from attacks via image manipulation

🕷 38 point minified facial landmark model for DLib

The aim of this project is to create a virtual painter using computer vision.