Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
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Updated
Aug 14, 2023 - Python
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
Awesome work on hand pose estimation/tracking
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
Orchestra is a human-in-the-loop AI system for orchestrating project teams of experts and machines.
👀 Use machine learning in JavaScript to detect eye movements and build gaze-controlled experiences.
Code for CVPR'18 spotlight "Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer"
Clojure(Script) library for phrasing spec problems.
Quickly add MediaPipe Pose Estimation and Detection to your iOS app. Enable powerful features in your app powered by the body or hand.
A curated list of awesome affective computing 🤖❤️ papers, software, open-source projects, and resources
openEMSstim: open-hardware module to adjust the intensity of EMS/TENS stimulators.
Easy to use Python command line based tool to generate a gaze point heatmap from a csv file. 👁️
The official implementation for ICMI 2020 Best Paper Award "Gesticulator: A framework for semantically-aware speech-driven gesture generation"
Code and data belonging to our CSCW 2019 paper: "Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites".
VR driving 🚙 + eye tracking 👀 simulator based on CARLA for interactions research.
As a part of the HAKE project, includes the reproduced SOTA models and the corresponding HAKE-enhanced versions (CVPR2020).
Wearable computing software framework for intelligence augmentation research and applications. Easily build smart glasses apps, relying on built in voice command, speech recognition, computer vision, UI, sensors, smart phone connection, NLP, facial recognition, database, cloud connection, and more. This repo is in beta.
🎓 Materials for my lectures including programming langauge design, software engineering and human-computer interaction.
Official PyTorch implementation of TriHorn-Net
Probabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.
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