Search Results for "hand detection"
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Showing 22 open source projects for "hand detection"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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MediaPipe
Cross-platform, customizable ML solutions for live and streaming media
MediaPipe offers open-source cross-platform, customizable ML solutions for live and streaming media. Provides segmentation masks for prominent humans in the scene. MediaPipe Face Mesh is a face geometry solution that estimates 468 3D face landmarks in real-time even on mobile devices. It employs machine learning (ML) to infer the 3D surface geometry, requiring only a single camera input without the need for a dedicated depth sensor. Utilizing lightweight model architectures together with GPU... -
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MediaPipe Solutions
Cross-platform, customizable ML solutions
...These pipelines can run on a wide variety of platforms including mobile devices, desktop systems, web browsers, and embedded edge devices. MediaPipe is widely used in computer vision and multimedia applications such as hand tracking, face detection, pose estimation, object recognition, and gesture analysis. The framework includes prebuilt solutions that developers can quickly integrate into applications as well as lower-level APIs that allow custom pipeline construction. -
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DeepSqueak
DeepSqueak Using Machine Vision to Accelerate Bioacoustics Research
Using Machine Vision to Accelerate Bioacoustics Research. -
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BenchmarkDotNet
Powerful .NET library for benchmarking
BenchmarkDotNet is a powerful .NET library designed for creating accurate and reproducible benchmarks. It handles complexities like warm-up, outlier removal, and statistical analysis, presenting results in a clean, customizable summary format. BenchmarkDotNet has tons of features that are essential in comprehensive performance investigations. Four aspects define the design of these features: simplicity, automation, reliability, and friendliness. A lot of hand-written benchmarks produce wrong... -
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Focusrite Scarlett Controller Linux
Focusrite Scarlett Controller Linux
...What it does: It talks directly to the ALSA driver — every mix bus volume, input setting, routing enum, and hardware switch is exposed in an organized tree view with collapsible categories. You get real-time hardware level meters with peak hold and clip detection, reading straight from the Scarlett's onboard DSP at 20Hz. Volume controls, boolean switches like 48V phantom power and Air mode, input routing — it's all there. Why it exists: Focusrite doesn't ship a Linux version of Focusrite Control. The kernel ALSA driver (snd-usb-audio with the Scarlett mixer quirk) exposes all the controls, but running amixer commands by hand with 50+ controls is painful. ... -
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Sysmon-Modular
A repository of sysmon configuration modules
sysmon-modular is a community-driven repository that provides a modular, production-ready set of Sysmon configuration modules designed to be easily composed and tuned for different environments. The project organizes detection logic into per-event modules (for example, process creation, file create, network connection, registry events, image load, and many more) so operators can pick and choose which rules to enable without editing a monolithic XML by hand. It includes pre-generated configuration variants (balanced, default with FileDelete, verbose, super-verbose, and a Microsoft Defender for Endpoint augmentation) to cover common use cases while warning about the performance tradeoffs of very verbose settings. ... -
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Yoha
A practical hand tracking engine
Yoha is a browser-based hand tracking engine designed to enable real-time gesture recognition and interaction using standard webcams, making it accessible for web applications without specialized hardware. Built using JavaScript and TensorFlow.js, it runs directly in the browser and performs inference on-device, eliminating the need for server-side processing. The engine is capable of detecting 21 two-dimensional hand landmarks, allowing developers to build applications that respond to... -
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On Screen RGB Detector
On-Screen RGB (red, blue, green) detector enables on-screen RGB color
On-Screen RGB (Red, Green, Blue) Detector is an innovative approach that enables on-screen colour detection with few hand gestures. Sometimes you need to know the RGB value of a picture or anything else, then you are in the right place. The On Screen RGB Detector measures the RGB color value of every single pixel on your computer screen live by following the cursor/mouse pointer position along with the pixel coordinates. Application is built using Python programing language (3.10) and Tkinter framework for Graphical User Interface (GUI). ... -
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SQLancer
Automated testing to find logic and performance bugs
SQLancer is a tool to automatically test Database Management Systems (DBMSs) in order to find bugs in their implementation. That is, it finds bugs in the code of the DBMS implementation, rather than in queries written by the user. SQLancer has found hundreds of bugs in mature and widely-known DBMSs. SQLancer implements approaches for automatically generating SQL statements. It contains various hand-written SQL generators that operate in multiple phases. First, a database schema is created,... -
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TengineKit
TengineKit - Free, Fast, Easy, Real-Time Face Detection
Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile. TengineKit is an easy-to-integrate AI algorithm SDK. At present, it can run on various mobile phones at very low latency. We will continue to update this project for better results and better performance! -
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OpenPose
Real-time multi-person keypoint detection library for body, face, etc.
OpenPose has represented the first real-time multi-person system to jointly detect human body, hand, facial, and foot keypoints (in total 135 keypoints) on single images. It is authored by Ginés Hidalgo, Zhe Cao, Tomas Simon, Shih-En Wei, Yaadhav Raaj, Hanbyul Joo, and Yaser Sheikh. It is maintained by Ginés Hidalgo and Yaadhav Raaj. OpenPose would not be possible without the CMU Panoptic Studio dataset. We would also like to thank all the people who has helped OpenPose in any way. 15, 18 or... -
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DETR
End-to-end object detection with transformers
PyTorch training code and pretrained models for DETR (DEtection TRansformer). We replace the full complex hand-crafted object detection pipeline with a Transformer, and match Faster R-CNN with a ResNet-50, obtaining 42 AP on COCO using half the computation power (FLOPs) and the same number of parameters. Inference in 50 lines of PyTorch. What it is. Unlike traditional computer vision techniques, DETR approaches object detection as a direct set prediction problem. ... -
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Affine Transformation of Virtual Object
Transformation virtual 3D object using a finger gesture-based system
Affine transformation virtual 3D object using a finger gesture-based interactive system in the virtual environment. A convolutional neural network (CNN) based thumb and index fingertip detection system are presented here for seamless interaction with a virtual 3D object in the virtual environment. First, a two-stage CNN is employed to detect the hand and fingertips, and using the information of the fingertip position, the scale, rotation, translation, and in general, the affine transformation of the virtual object is performed. ... -
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AXYZ
Newsfeed aggregator
...Among the features of the program, stands out a new processing engine of syndication channels, monitoring capability of information recovery in real time, the possibilities of the configuration of aggregator behavior, automatic classification of contents and new models for representation of information from relational interactive maps. On the other hand, the aggregation program, which named AXYZ, is designed to manage thousands of syndication channels of RSS format. Furthermore it also provides statistics that can be used to study the production of any producer subject and the impact of the information that published in other sources. The result that has been obtained in the research, allow to create modules capable of compare the relationship between different news or information from different sources, their degree of influence and their detection by the patterns. -
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projet SERHuM
first person shooter
This projet is an unfinished game project of mine I started in 2002. It features a hand made .map files (valve hammer) parser and processor, and a bunch of code to display it like a game engine would. it has collision detection, and recently lightmapping, no mesh import, it has a console and a camera pathtrack demo recorder :) a discussion of the implementation of the lightmapper here: https://motsd1inge.wordpress.com/2016/03/29/light-rendering-2/ -
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VarImpact
Extracting effects of mutations on molecular properties from text.
...Although broad disease associations can be discovered by GWAS studies, the low-level impact of mutations is hardly available in structured form. The results of thousands of small-scale experiments, on the other hand, are present in the literature and discuss observations made ranging from alteration of active sites to changes in drug response resulting. Our aim is to bridge the gap between detection of genetic variants and their annotation with aforementioned observations. VarImpact extracts experimentally observed changes from the literature. ... -
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OPTIMA cidoc-crm Semantic Annotation
Semantic annotation of archaeology reports with respect to CIDOC-CRM
The semantic annotation system OPTIMA is the result of Andreas Vlachidis PhD work, (supervised by Prof. Douglas Tudhope, University of Glamorgan, UK). OPTIMA performs the NLP tasks of Named Entity Recognition, Relation Extraction, Negation Detection and Word Sense Disambiguation using hand-crafted rules and SKOS terminological resources (English Heritage Thesauri and Glossaries). The resulted semantic annotations are associated with classes of the (ISO 21127:2006) CIDOC Conceptual Reference Model (CRM) and its archaeological extension, CRM-EH. OPTIMA is also targeted at the detection and recognition of contextual relations between CRM entities. ... -
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Gesture Recognition To Control TV
Hand Detection and Tracking In JAVACV To Control Television
Gesture Recognition technology has been used extensively in smart tvs and recent personal computer stations too. Gesture recognition involves the identification of human hand and detection of its movement while successfully tracking it over a raster thereby interpreting the gesture into a machine instruction. Gestures recognized will be left or right hand movements, up or down hand movements and open hand for switching the television off remotely. The IR codes from the remote are decoded using the IR decoder implemented on atmega328p developer platform implemented on Arduino Uno using the Arduino IDE. ... -
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A C++ hand/finger tracking API using openCV. Detection of features is based on background substraction, color filtering and skin detection.
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Collision Detection, GUI Helpers, Edge Detection to Simple Console Parsing, SASlib takes your goals in hand.
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This project is to share my work in visual recognition of gestures. It shows how I have implemented person detection, color adaptation and tracking of the user's right-hand, gesture feature extraction, etc. using a single videocamera.
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Program to help you with your poker heads-up skill. Still in beta, so it doesn't detect which hand wins, but will keep stats. Also allows for independent custom hands. Big plans for this in the making, including hand detection and large auto trials.
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