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Showing 16 open source projects for "objects"
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JSONLab
JSONLab: compact, portable, robust JSON/binary-JSON encoder
JSONLab is a free and open-source JSON/UBJSON/MessagePack encoder and decoder written in the native MATLAB language. It can be used to convert a MATLAB data structure (array, struct, cell, struct array, cell array, and objects) into JSON/UBJSON/MessagePack formatted strings and files, or to parse a JSON/UBJSON/MessagePack file into MATLAB data structure. JSONLab supports nearly all versions of MATLAB and GNU Octave (a free MATLAB clone). The development of JSONLab is currently funded by the US National Institute of Health (NIH) as part of the NeuroJSON project (data portal https://neurojson.io) under grant U24-NS124027. ... -
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Robotics Toolbox for MATLAB
Robotics Toolbox for MATLAB
This toolbox brings robotics-specific functionality to MATLAB, exploiting the native capabilities of MATLAB (linear algebra, portability, graphics). The Toolbox uses a very general method of representing the kinematics and dynamics of serial-link manipulators as MATLAB® objects – robot objects can be created by the user for any serial-link manipulator and a number of examples are provided for well-known robots from Kinova, Universal Robotics, Rethink as well as classical robots such as the Puma 560 and the Stanford arm. The toolbox also supports mobile robots with functions for robot motion models (unicycle, bicycle), path planning algorithms (bug, distance transform, D*, PRM), kinodynamic planning (lattice, RRT), localization (EKF, particle filter), map building (EKF) and simultaneous localization and mapping (EKF), and a Simulink model a of non-holonomic vehicle. ... -
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ebfformat
An Efficient Binary data Format
...The EBF specification is designed to be concise and easy to understand to make it easier for others to write their own code if needed. It is also designed to simplify the programming of input output routines in different programming languages. In a nutshell an EBF file is a collection of data objects. Each data object is specified by a unique name and a single file can have multiple data objects. Each data object is preceded by a meta-data or header which describes the binary data associated with it. Among other things, this header allows the files to be portable across systems with different endianess. -
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DSeg software
A MATLAB program to segment filamentous bacteria and hyphae structures
The analysis of microscopy image has been the basis to our current understanding of the cellular growth and morphogenesis. The quantitative evaluation of morphological changes in the biological processes is therefore important to characterize cell 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... -
The AI-powered unified PSA-RMM platform for modern MSPs.SuperOps.ai is the only PSA-RMM platform powered by intelligent automation and thoughtfully crafted for the new-age MSP. The platform also helps MSPs manage their projects, clients, and IT documents from a single place.
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Chebfun
Chebfun: numerical computing with functions
Chebfun is a MATLAB-based system for numerical computing with functions instead of just numbers. It represents functions using Chebyshev polynomial approximations and allows users to perform operations like differentiation, integration, root finding, and solving ODEs using symbolic-like syntax. Chebfun simplifies working with continuous mathematics using high-accuracy numerical techniques. -
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matlab2tikz
Converts MATLAB®/Octave figures to TikZ/pgfplots figures
matlab2tikz is a MATLAB(R) script to convert native MATLAB(R) figures to TikZ/Pgfplots figures that integrate seamlessly in LaTeX documents. matlab2tikz supports the conversion of most MATLAB figures, including 2D and 3D plots. For plots constructed with third-party packages, your mileage may vary. Sometimes, MATLAB makes it hard to create matching LaTeX plots by keeping invisible objects around or stretching the plots too far beyond the bounding box. -
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CRFasRNN
Semantic image segmentation method described in the ICCV 2015 paper
...This fusion enables end-to-end training via backpropagation for semantic image segmentation tasks, eliminating the need for separate, offline post-processing steps. Our work allows computers to recognize objects in images, what is distinctive about our work is that we also recover the 2D outline of objects. Currently we have trained this model to recognize 20 classes. This software allows you to test our algorithm on your own images – have a try and see if you can fool it, if you get some good examples you can send them to us. CRF-RNN has been developed as a custom Caffe layer named MultiStageMeanfieldLayer. ... -
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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. -
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Rcnn
R-CNN: Regions with Convolutional Neural Network Features
This repository contains the original MATLAB implementation of R-CNN (Regions with Convolutional Neural Networks), a pioneering deep learning-based object detection framework. Developed by Ross Girshick, R-CNN combines region proposals with convolutional neural networks to detect objects in images. It was one of the first approaches to significantly improve performance on object detection benchmarks like PASCAL VOC. -
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VOC-DPM
Object detection system using deformable part models (DPMs)
...It is the companion code for Ross Girshick’s dissertation, and extends earlier work on discriminatively trained DPMs. The system supports a grammar-based representation for object models, allowing structures such as mixtures and hierarchies to represent parts and whole objects. It implements both latent SVM training (where part assignments are treated as latent variables) and weak-label structural SVM (WL-SSVM) for learning from partially labeled data. The code integrates several enhancements: a star-cascade detection algorithm to speed up screening, context rescoring (re-ranking detections using contextual information), and various optimizations like in-memory training (rather than large on-disk data files). -
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BUHO
BUHO identifies cells and high-contrast cellular objects
BUHO is a MATLAB script for the identification of cells and high-contrast cellular objects according to their similarity to prototype objects -
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A MATLAB toolbox for time series analysis using state space models. Supports fully interactive model construction with MATLAB objects and efficient Kalman filter backend implemented in c.
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mYm is a Matlab interface to MySQL server. It is based on the original 'MySQL and Matlab' by Robert Almgren and adds the support for BLOBs. That is, it can insert matlab objects (e.g. array, structure, cell) into BLOB fields.
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Open Source code for machine learning applied to anthropological/art objects. initially a collaboration between C. Wiggins+I. Tamaru (Columbia) and A. Gansell (Harvard) to identify true regions for lost/misplaced objects recovered in mesopotamia (Iraq).
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A library of data objects that simulate mathematical neurons, including classic Hodgkin-Huxley neurons and theta neurons.
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This project aims to develop a colour-based vision processing system for use in RoboCup. We are using a CCD camera for input to an FPGA. The system locates coloured objects and outputs detected corners.
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