Search Results for "open personal data"
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Showing 27 open source projects for "open personal data"
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MeshLab
The open source mesh processing system
...It offers features for processing raw data produced by 3D digitization tools/devices and for preparing models for 3D printing. -
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Dozzle
Realtime log viewer for containers. Supports Docker, Swarm and K8s
Dozzle is a lightweight, self-hosted web application for real-time viewing and monitoring of container logs, focused on speed and simplicity rather than building a full log storage pipeline. Instead of indexing or storing logs, it connects to your container runtime and streams live output so you can diagnose issues as they happen. The interface includes practical quality-of-life features like fuzzy searching for containers, regex log search, split-screen viewing for multiple logs, and live... -
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Bayesian Optimization
Python implementation of global optimization with gaussian processes
This is a constrained global optimization package built upon bayesian inference and gaussian process, that attempts to find the maximum value of an unknown function in as few iterations as possible. This technique is particularly suited for optimization of high cost functions, situations where the balance between exploration and exploitation is important. More detailed information, other advanced features, and tips on usage/implementation can be found in the examples folder. Follow the basic... -
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python-socketio
Python Socket.IO server and client
python-socketio is a robust Python library that implements the Socket.IO protocol, enabling real-time, bidirectional communication between web clients and servers. It works with multiple asynchronous frameworks such as asyncio, eventlet, and gevent, so developers can choose the concurrency model that best fits their application needs while still using a consistent API. The library provides both server and client implementations, allowing Python applications to serve and communicate with... -
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Segmentation Models
Segmentation models with pretrained backbones. PyTorch
Segmentation models with pre trained backbones. High-level API (just two lines to create a neural network) 9 models architectures for binary and multi class segmentation (including legendary Unet) 124 available encoders (and 500+ encoders from timm) All encoders have pre-trained weights for faster and better convergence. Popular metrics and losses for training routines. All encoders have pretrained weights. Preparing your data the same way as during weights pre-training may give you better... -
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Darknet YOLO
Real-Time Object Detection for Windows and Linux
This is YOLO-v3 and v2 for Windows and Linux. YOLO (You only look once) is a state-of-the-art, real-time object detection system of Darknet, an open source neural network framework in C. YOLO is extremely fast and accurate. It uses a single neural network to divide a full image into regions, and then predicts bounding boxes and probabilities for each region. This project is a fork of the original Darknet project. -
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LiVES
LiVES is a Video Editing System. It is designed to be simple to use, y
LiVES mixes realtime video performance and non-linear editing in one professional quality application. It is designed to be simple to use, yet powerful. It is small in size, yet it has many advanced features. Using LiVES, you can start editing and making video right away, without having to worry about formats, frame sizes, or framerates. It is a very flexible tool which is used by both professional VJ's and video editors - mix and switch clips from the keyboard, use dozens of realtime... -
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PyMesh
Geometry processing library for Python
...PyMesh is a rapid prototyping platform focused on geometry processing. It provides a set of common mesh processing functionalities and interfaces with a number of state-of-the-art open-source packages to combine their power seamlessly under a single developing environment. Mesh process should be simple in python. PyMesh promotes human-readable, minimalistic interface and works with native python data structures such as numpy.ndarray. -
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The Integrating Vision Toolkit (IVT) is a powerful and fast C++ computer vision library with an easy-to-use object-oriented architecture. It offers its own multi-platform GUI toolkit. OpenCV is integrated optionally. Website: http://ivt.sourceforge.net
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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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Veejay is a visual instrument and real-time video sampler. It allows you to "play" the video like you would play a piano. While playing, you can record the resulting video directly to disk (video sampling).
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SSBRenderer
Renderer for subtitle format SSB.
SSBRenderer is a plugin for frameservers on Windows & Unix platforms to render 2D graphics by SSB (Substation Beta) data on frames of video streams. -
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TrackXY
Track & log x & y displacement, in realtime, of object in webcam
Track, in realtime, horizontal and vertical displacement of object in webcam. Log timestamp, x and y to comma-separated value (.csv) file importable to spreadsheet. Uses Lukas-Kanade algorithm and based on lkdemo.cpp in OpenCV, stripped down to track single point in high contrast against a uniform background. Based on the BSD licensed OpenCV, TrackXY also has BSD-style license. I am a bit embarrassed to be posting this here, because it's such a rudimentary program, but I couldn't find... -
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UT VR-Lab Video Recorder/Reader
Video Recorder/Reader for Virtual Reality Experiments
The tools in this project are used by the Virtual Reality lab at University of Texas at Austin to record the stream of rendered images (OpenGL) and combine them with eye tracking data (if eyes are being tracked) and user defined metadata. The project is split into two parts. DVR is used to record the data stream as a QuickTime movie. The RVD is used to read the movie recorded by the DVR. Acknowledgements: John Stone - created most of the code base Gabriel Diaz and Joseph Cooper -... -
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Observational Data Recorder permits to read any multimedia file, capture timecodes and associate them to different behavioural sequences. You will be able to export your data in different files and graphs compatible with any spreadsheet software.
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Electronic Program Guide (EPG) Generator for Digital Video Broadcasting (DVB). Uses DekTec's ASI output devices for transmitting required data (EIT-Event Information Table) to multiplexer.
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Oculux is a Video Analysis Software with automatic point recognition intended primarily for Sport Analysis in 2D.
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HCI for audiovisual live performance exploiting physical computing. Transform your standard musical instrument - electric bass, guitar, violin, piano etc - in an augmented tool, an audiovideo controller without exploiting any specific ext. hardware.
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To create, as a community, the leading international TV automation/playout system that will run on Windows® OS and provide access to all functionality and data through extensible infrastructure. www.opentvms.org
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Create offline your own .flv files for personal use! It's easy, click to download. With your own .flv file you can offline view your internet video's or put them on your own website. The program can be used as a MEncoder GUI.
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An OS/hardware vendor independent GPU accelerated image and video processing library written in C. Interface allows easy combination and manipulation of customizable filters. Works with an active OpenGL context.
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Genjutsu-vision is a networked computer vision framework for OpenGL. Based upon GLFW and IPP for optimization, networked computer vision development technologies enable vision analysis of data from multiple sources.
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MOVIE (MOdular VIdeo Environment) is the name of the realtime video processing environment that Tom Mays created using MAX/JITTER. It began as a personal project, but its development is now shared with Pascal Baltazar and Renaud Rubiano.