Search Results for "object tracking" - Page 2
Sort By:
Showing 65 open source projects for "object tracking"
View related business solutions-
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
-
Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
-
1
MMTracking
OpenMMLab Video Perception Toolbox
MMTracking is an open-source video perception toolbox by PyTorch. It is a part of OpenMMLab project. We are the first open-source toolbox that unifies versatile video perception tasks include video object detection, multiple object tracking, single object tracking and video instance segmentation. We decompose the video perception framework into different components and one can easily construct a customized method by combining different modules. MMTracking interacts with other OpenMMLab projects. It is built upon MMDetection that we can capitalize any detector only through modifying the configs. ... -
2
avio
Python version of ffplay with built-in AI
See the Files tab above for installation instructions -
3
libsurvive
Open Source Lighthouse Tracking System
Libsurvive is a set of tools and libraries that enable 6 dof tracking on lighthouse and vive-based systems that is completely open source and can run on any device. It currently supports both SteamVR 1.0 and SteamVR 2.0 generation of devices and should support any tracked object commercially available. -
4
TensorFlow Object Counting API
The TensorFlow Object Counting API is an open source framework
The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems. Please contact if you need professional object detection & tracking & counting project with super high accuracy and reliability! You can train TensorFlow models with your own training data to built your own custom object counter system! -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
5
opencv4nodejs
Nodejs bindings to OpenCV 3 and OpenCV 4
OpenCV4NodeJS is a Node.js binding for OpenCV, allowing developers to integrate computer vision capabilities directly into JavaScript applications for image processing, object detection, and facial recognition. -
6
Kopf
A Python framework to write Kubernetes operators
Kopf —Kubernetes Operator Pythonic Framework, is a framework and a library to make Kubernetes operator's development easier, just in a few lines of Python code. The main goal is to bring the Domain-Driven Design to the infrastructure level, with Kubernetes being an orchestrator/database of the domain objects (custom resources), and the operators containing the domain logic (with no or minimal infrastructure logic). -
7
PyTracking
Visual tracking library based on PyTorch
A general python framework for visual object tracking and video object segmentation, based on PyTorch. Official implementation of the RTS (ECCV 2022), ToMP (CVPR 2022), KeepTrack (ICCV 2021), LWL (ECCV 2020), KYS (ECCV 2020), PrDiMP (CVPR 2020), DiMP (ICCV 2019), and ATOM (CVPR 2019) trackers, including complete training code and trained models. -
8
Wayne
Kubernetes multi-cluster management and publishing platform
Wayne is a universal, web-based Kubernetes multi-cluster management platform. It reduces service access costs by visualizing Kubernetes object template editing. With a complete permission management system and adapting to multi-tenant scenarios, it is a publishing platform suitable for enterprise-level clusters. Wayne has been serving 360 search on a large scale, carrying most of the online services, stably managing nearly a thousand applications, and tens of thousands of containers, running... -
9
TracTrac
Massive Object Tracking Software (Matlab/Python)
TracTrac is a Particle Tracking Velocimetry (PTV) software which is extremely fast (more than 10k points tracked per second, 100k under python) and accurate (up to 0.01 pixel resolution), forming thus a good concurrent to the state-of-the art PIV/PTV algorithms. It allows to track anything that moves: birds, ants, grains, water flows... It runs on Python (v2&3) or Matlab (>2012a with Image Processing toolbox). Give it a try ! Get the last sources on GitHub:... -
Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
-
10
WebXR Gamepads Module
Repository for the WebXR gamepads module
The WebXR Gamepads Module is for accessing the state of buttons, triggers, thumbsticks, and touchpads associated with virtual reality (VR) and augmented reality (AR) motion controllers on the Web. This specification is a product of the Immersive Web Working Group. This specification module describes support for accessing button, trigger, thumbstick, and touchpad data associated with virtual reality (VR) and augmented reality (AR) devices on the Web. Hardware that enables Virtual Reality (VR)... -
11
DSeg software
A MATLAB program to segment filamentous bacteria and hyphae structures
...Here we present an image analysis tool DSeg to overcome the difficulties in finding complicated elongated cell shapes by using time-lapse data and cell morphological constraints. A fast binary level-set based algorithm is implemented for extracting object contour and refining shapes. The software is implemented in MATLAB for segmenting and tracking of cell contours from various microscopy systems. Video instructions: https://www.youtube.com/embed/qMbM0shkk7A?rel Lastest updates: 20190930 DSeg: A dynamic segmentation program to extract backbone patterns for filamentous bacteria and hyphae structures,(2018). ... -
12
DetectAndTrack
The implementation of an algorithm presented in the CVPR18 paper
DetectAndTrack is the reference implementation for the CVPR 2018 paper “Detect-and-Track: Efficient Pose Estimation in Videos,” focusing on human keypoint detection and tracking across video frames. The system combines per-frame pose detection with a tracking mechanism to maintain identities over time, enabling efficient multi-person pose estimation in video. Code and instructions are organized to replicate paper results and to serve as a starting point for researchers working on pose in... -
13
PrydeWorX Library
The PrydeWorX C++ Library of workers, tools and utilities.
The PrydeWorX Library project has been moved to: https://pwxlib.prydeworx.com The page here is kept as historical reference. The information is outdated, and won't get updated any more. -
14
ECO
Matlab implementation of the ECO tracker
ECO (Efficient Convolution Operators for Tracking) is a high-performance object tracking algorithm developed by Martin Danelljan and collaborators. It is based on discriminative correlation filters and designed to handle appearance changes, occlusions, and scale variations in visual object tracking tasks. The code provides a MATLAB implementation of the ECO and ECO-HC (high-speed) variants and was one of the top performers on multiple visual tracking benchmarks. -
15
OJson
Optimised JSON (Javascript Object Notation)
Optimise JSON by removing duplicate strings and arrays containing repeated object keys. Here you will find binary downloads and discussion (https://sourceforge.net/p/ojson/discussion/) . The actual development and issue tracking can be found here: https://bitbucket.org/cryanfuse/ojson -
16
Scene is a computer vision framework that performs background subtraction and object tracking, using two traditional algorithms and three more recent algorithms based on neural networks and fuzzy classification rules. For each detected object, Scene sends TUIO messages to one or several client applications. The present release features GPU accelerated versions of all the background subtraction methods and morphological post processing of the object blobs with dilation and erosion filters, implemented in OpenCL. ...
-
17
Object detection is usually a software-based monitoring algorithm that will signal, for example in the surveillance camera to begin capturing the event when it detects motion. In object tracking, the object is located and the moving object is followed. One of the fundamental steps in many computer based vision systems for object tracking and motion detection is real-time segmentation of moving regions in the image sequences. ...
-
18
MoTrack
Matlab GUI for motion tracking
MoTrack is a graphical user interface for Matlab. It can be used to track the 2D motion of any object in digital videos. In manual mode the object coordinates are captured by mouse clicking on the objects position in each video frame. Automatic motion tracking is possible using reflective markers or any kind of markers that have high contrast to the surroundings. -
19
OpenTLD
OpenTLD is an open source library for real-time 2D tracking
OpenTLD is an open source implementation of the TLD (Tracking-Learning-Detection) framework, designed for real-time 2D tracking of a single object in video sequences. Because it fuses tracking and detection, TLD can recover from occlusions, drift, or failures by using its detection mechanism to reacquire the object. In terms of usage, one typically initializes the tracker by providing a bounding box on the first frame, then calls a function like run_TLD to process a video and obtain bounding boxes over time. ... -
20
KinectA
Software for motion tracking (skeletons, objects, hands) via Kinect!
KinectA is an application for motion tracking via Kinect Sensor – including hand, skeleton and object tracking. This software has been developed for the needs of media artists and designers. It provides a clearly arranged interface with multiple functionalities. The tracked information can be send via OSC to other hard- and software. KinectA is available for Mac and Windows. -
21
CMUcam2 computer vision
Pembutan Modul Pembelajaran CMUcam2 Sebagai Pendukung Praktikum Mata
...Dimana pada kesempatan kali pertama peneliti mencoba bagaimana menghasilkan alat peraga CMUcam2 yang telah terintegrasi dengan dua motor servo dengan kemampuan dasar yaitu melakukan pencarian obyek secara otomatis (automatic object tracking). -
22
TheTracker
tracker by WeaveBytes
The tracker is an object tracking application that use opencv to track objects in a video. Objects can be selected by doing mouse drag/drop on the video being rendered. It is under R & D by WeaveBytes. www.weavebytes.com -
23
OpenVS
Open-Source Video-surveillance
Includes a framework and various methods of motion detection, enhancement, object tracking. -
24
An object-oriented library written in PHP that allows reading and writing iCalendar files. It is easy to use, fully standards compliant, and powerful. Intended audience: application developers who want to support iCalendar (RFC-2445, iCal).
-
25
Moved to GitHub http://github.com/autentia/TNTConcept !!! With TNTConcept you can manage, in an integrated way, your customers, providers, contacts, business interactions, projects, week objectives, project time-tracking, bills, cash flow ...
