Search Results for "source code tracking"
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Showing 21 open source projects for "source code tracking"
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Norish
A realtime, self-hosted recipe app for families & friends
Norish is a realtime, self-hosted recipe and meal-planning app built for families, friends, and collaborative cooks who want to maintain a shared catalogue of recipes and grocery lists. The project emphasizes simplicity and immediacy, syncing changes across multiple clients using WebSockets so that updates to recipes, groceries, or meal plans appear instantly for all users. The app allows users to import recipes from URLs and even fallback to AI parsing when needed, with multimedia support... -
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OpenCV
Open Source Computer Vision Library
The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample code for real-time computer vision. It works on Windows, Linux, Mac OS X, Android, iOS in your browser through JavaScript. Languages: C++, Python, Julia, Javascript Homepage: https://opencv.org Q&A forum: https://forum.opencv.org/ Documentation: https://docs.opencv.org Source code: https://github.com/opencv Please pay special attention to our tutorials! ... -
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PyTorch Natural Language Processing
Basic Utilities for PyTorch Natural Language Processing (NLP)
...It’s built with the very latest research in mind, and was designed from day one to support rapid prototyping. PyTorch-NLP comes with pre-trained embeddings, samplers, dataset loaders, metrics, neural network modules and text encoders. It’s open-source software, released under the BSD3 license. With your batch in hand, you can use PyTorch to develop and train your model using gradient descent. For example, check out this example code for training on the Stanford Natural Language Inference (SNLI) Corpus. Now you've setup your pipeline, you may want to ensure that some functions run deterministically. ... -
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GLMixer
Graphic Live Mixer
GLMixer performs real time graphical blending of several movie clips and of computer generated graphics. Drop video files in the mixing workspace and place them in a circular area to change their opacity ; if you selects two videos, moving them together performs a fading transition. This principle generalizes to a large number of videos. Direct interaction with the video allows to be fast and reactive, and to move and deform them on screen. The output of your operations is shown in the... -
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OpenFace
A state-of-the-art facial behavior analysis toolkit
OpenFace is an advanced facial behavior analysis toolkit intended for computer vision and machine learning researchers, those in the affective computing community, and those who are simply interested in creating interactive applications based on facial behavior analysis. The OpenFace toolkit is capable of performing several complex facial analysis tasks, including facial landmark detection, eye-gaze estimation, head pose estimation and facial action unit recognition. OpenFace is able to... -
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GPUImage 2
Framework for GPU-accelerated video and image processing
GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. ... -
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reacTIVision is a computer vision framework for the fast and robust tracking of markers attached on physical objects, and the creation of multi-touch surfaces. It was designed for the rapid development of table-based tangible user interfaces.
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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,...
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cBroadcast
Playout Server that can act as a TV Station in a Box
*** this version is outdated email : software.chasapis@gmail.com to get the latest code Bug fixes, code optimization + compliance recorder, ingest recorders, stream renderer (udp, rtsp, hls) e.t.c. TV Station in a box server This is a TV Station scheduled playout video server with statics and animated graphics. (png sequences) Position/Alpha/Size of the PNGs are total configurable. Rundown with time calculations and program scheduling. The software acts like a video... -
Easily Host LLMs and Web Apps on Cloud RunRun frontend and backend services, batch jobs, host LLMs, and queue processing workloads without the need to manage infrastructure. Cloud Run gives you on-demand GPU access for hosting LLMs and running real-time AI—with 5-second cold starts and automatic scale-to-zero so you only pay for actual usage. New customers get $300 in free credit to start.
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A comprehensive software suite for reading barcodes. Supports EAN/UPC, Code 128, Code 39, Interleaved 2 of 5 and QR Code. Includes libraries and applications for decoding captured barcode images and using a video device (eg, webcam) as a barcode scanner.
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OpenVS
Open-Source Video-surveillance
Includes a framework and various methods of motion detection, enhancement, object tracking. -
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Real time face tracking and recognition refers to the task of locating human faces in a video stream and identifying the faces by matching them against the database of known faces.
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code in this repository is now deprecated, vvvv has moved to github. please see: https://github.com/vvvv/vvvv-sdk --- a collection of standards-based plugins compatible with (among others) vvvv: video tracking plugins based on the freeframe api, audio/video directshow filters, and plugin nodes based on vvvvs own plugin interface. for vvvv see: http://vvvv.org
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HornetsEye Ruby Computer Vision Library
Ruby computer vision library
Video processing and computer vision library for GNU/Linux offering interfaces to do image- and video-I/O with ImageMagick/Magick++, Xine, firewire digital camera (DC1394), and video for linux (V4L2). Note that this version of HornetsEye is deprecated. HornetsEye now is released as multiple packages on RubyGems.org. The source code is available on Github.com (see https://wedesoft.github.io/hornetseye-doc/ for more information). -
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Face tracking system that allows the user to interact with the computer moving the head. It's possible to move a camera in a 3D scene and the mouse in the screen. Contains also an open source implementation of the condensation algorithm.
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Wechselspieler is an interactive motion tracking tool to transform movement information coming from a file or video into sound in realtime using the MIDI or OSC protocol. It features an easy to use GUI for defining/editing the image trigger regions.
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ViewMAX CCTV DVR
ViewMAX is a feature enhanced branch of ZoneMinder.
ViewMAX is a feature enhanced branch of ZoneMinder. It includes a new look and feel, and attempts to maintain compatibility with it's original ZM parent code tree. This project is no longer being extended or supported. -
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The Mimas Toolkit is a C++ real-time computer vision library. Algorithms include edge/corner-detection, object recognition/tracking, LSI-filters, segmentation, array-operators, convolution etc. OO wrappers for LAPACK, libxine, V4L, FFTW are provided.
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The webcam computer vision (WCCV) project focuses on computer vision algorithms and systems that follow the web cam paradigm: cheap, robust and efficient. The project comprises designs, patterns, code, tutorials and examples.
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A face tracking system for user interface control and development. This software is designed to determine face position and orientation in real time using an inexpensive webcam, allowing navigation of a GUI using head movement.
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Frontera is an open art project which uses interactive video combined with hand tracking to make an "interactive portrait". It uses open standards like OpenCV and the OSC protocol.
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