Search Results for "matlab box"
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Showing 17 open source projects for "matlab box"
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DeepSqueak
DeepSqueak Using Machine Vision to Accelerate Bioacoustics Research
Using Machine Vision to Accelerate Bioacoustics Research. -
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Exclusively Dark Image Dataset
ExDARK dataset is the largest collection of low-light images
The Exclusively Dark (ExDARK) dataset is one of the largest curated collections of real-world low-light images designed to support research in computer vision tasks under challenging lighting conditions. It contains 7,363 images captured across ten different low-light scenarios, ranging from extremely dark environments to twilight. Each image is annotated with both image-level labels and object-level bounding boxes for 12 object categories, making it suitable for detection and classification... -
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WingSegment
WingSegment: A tool for Analysis and Modeling of Insect Wings
WingSegment is a MATLAB app-designed tool employing a hybrid approach of computer vision and graph theory for precise insect wing image segmentation. WingSegment detects cells, junctions, Pterostigma, and venation patterns, measuring geometric features and generating Voronoi patterns. The tool utilizes region-growing, thinning, and Dijkstra's algorithms for boundary detection, junction identification, and vein path extraction. It provides histograms and box plots of geometric features... -
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MTCNN Face Detection Alignment
Joint Face Detection and Alignment
MTCNN_face_detection_alignment is an implementation of the “Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks” algorithm. The algorithm uses a cascade of three convolutional networks (P-Net, R-Net, O-Net) to jointly detect faces (bounding boxes) and align facial landmarks in a coarse-to-fine manner, leveraging multi-task learning. Non-maximum suppression and bounding box regression at each stage. The repository includes Caffe / MATLAB code, support scripts... -
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Machine Learning Octave
MatLab/Octave examples of popular machine learning algorithms
This repository contains MATLAB / Octave implementations of popular machine learning algorithms, along with explanatory code and mathematical derivations, intended as educational material rather than production code. Implementations of supervised learning algorithms (linear regression, logistic regression, neural nets). The author’s goal is to help users understand how each algorithm works “from scratch,” avoiding black-box library calls. Code written so as to expose and comment on mathematical... -
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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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YASAV
SRAM Memory Aging Simulator for Image/Video Processing Systems
... of aging results in form of heatmaps, box plots and histograms. It can also be used as a standalone tool for visualizing YUV 4:2:0p video files. In case of usage, please refer to our DAC'15 paper: M. Shafique, M. U. K. Khan, Orcun Tuefek and J. Henkel, "EnAAM: Energy-Efficient Anti-Aging for On-Chip Video Memories", in Design Automation Conference (DAC), San Francisco, CA, 2015. -
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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... -
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mcompartments
A Matlab/GNU Octave package for dynamic box models
A Matlab/GNU Octave package for dynamic box models with any number of species and compartments. Box models are useful to study the dynamics of chemicals within systems that can be described by different compartments (e.g. environmental systems). -
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GridMat
GridMat is a Matlab/Simulink tool box for GridLAB-D
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ODET
ODE tool box
Download the readme first to understand what needs to be formatted correctly for you to use ODET -
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Octclipse
Octave Eclipse GUI
Octave development environment built upon Eclipse's Dynamic Languages Toolkit (http://www.eclipse.org/dltk/). Distributed as an Update site for Eclipse 3.7 Indigo and Indigo-based package for several platforms. Supports search, autocompletion, launching scripts, interactive console, debug and integrated plotting on Octave versions 3.2.x, 3.4.x and 3.6.x. The current goal is to make it running out-of-box on multiple platforms. Currently only Linux and Windows are supported. Mac... -
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NaRIBaS
Unix-based preparation and analysis toolbox for molecular simulations
Unix-based preparation and analysis toolbox for Nanomaterials and Room Temperature Ionic Liquids in Bulk and Slab using bash scripts, Gromacs tools and Matlab functions. NaRIBaS provides a framework that decouples user input parameter and terminal based command lines. NaRIBaS does not replace a simulation software and specific analysis tools like Gromacs, but it allows iterative repetition of tasks while changing specific input parameter. The toolbox is to be understood as a scripting... -
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TestTwo is a test case generator and an evolution of James Bach's Allpairs. It was necessary to have a solid Matlab interface, so Ruby is used to allow easier usage of the external Matlab/C libraries.
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CIVx is a free advanced PIV (Particle Imaging Velocimetry) code, developped in Fortran and C++. Input : pair of png images. Output : velocity field in NetCDF format. It is used by the UVMAT Matlab code develloped at LEGI.
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A highly scalable network emulation tool which emulates dynamic, mobile ad-hoc wireless network topologies in real-time, featuring easy deployment and detailed network models. It was developed in the research project HIDENETS (http://www.hidenets.aau.dk)
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