Search Results for "platform-tools"

...The open source system for processing and editing 3D triangular meshes. It provides a set of tools for editing, cleaning, healing, inspecting, rendering, texturing and converting meshes. It offers features for processing raw data produced by 3D digitization tools/devices and for preparing models for 3D printing.

...Developers can also use Serial Studio for almost any data acquisition and visualization project outside of CanSat, now supporting data retrieval from hardware serial ports, software serial ports, MQTT, and network sockets (TCP/UDP). You can download and install Serial Studio for your preferred platform.

PyMesh is a codebase developed by Qingnan Zhou for his PhD research at New York University. It is a rapid prototyping platform focused on geometry processing. PyMesh is written with both C++ and Python, where computational intensive functionalities are realized in C++, and Python is used for creating minimalistic and easy-to-use interfaces. 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. ...

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

Video processing source code for algorithms and tools used in software media pipelines. The currently available source code is written in C++ with their associated libraries and DirectShow Filters. Filters include an H.264 encoder, H.264 decoder, H.264 source filter, RTSP sink and source filters, YUV source, RGB to YUV color conversion, croppers, scalers, video mixing/picture in picture filters, rotate filter, virtual mic, and many more.

Parallel implementation of Video Magnification aiming Nvidia CUDA platform. Based on http://people.csail.mit.edu/mrub/vidmag/

...I am a bit embarrassed to be posting this here, because it's such a rudimentary program, but I couldn't find any other ready-made program that would track an object in real-time from webcam, other than an $80 special-purpose program used in the original (torsion balance) experiment we were replicating. I released TrackXY to reduce barriers to entry to science. Planned features include versions for each platform, a GUI, comprehensive data management, and data analysis tools. To analyze motion in /recorded/ video (not real-time), you may prefer something like PhysMo, also a SourceForge project.

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.

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.

MVC compatible real-time Multiview player. Cuurent version of MVVPlayer is compiled under Windows but does not platform dependent libraries for the core of the code.

Video surveillance for Windows platform (for now) with nice GUI. It supports multiple camera and video file inputs. Detects motion in input video using fast algorithms. Alarm notification is provided by e-mail, alarm sound and video recording.

zSVC provides an efficient implementation of the Scalable Video Coding extension of H.264. Its aim is a real-time SVC decoder framework on PC platform.

The UHAPI4Linux project is working on an open source implementation of UHAPI: 1. Provide development platform on PC for application and middleware 2. Demonstrate UHAPI concepts 3. Bootstrap developers with UHAPI