Search Results for "speed-dreeams"
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Showing 21 open source projects for "speed-dreeams"
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TIGRE
TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox
TIGRE is an open-source toolbox for fast and accurate 3D tomographic reconstruction for any geometry. Its focus is on iterative algorithms for improved image quality that have all been optimized to run on GPUs (including multi-GPUs) for improved speed. It combines the higher-level abstraction of MATLAB or Python with the performance of CUDA at a lower level in order to make it both fast and easy to use. TIGRE is free to download and distribute: use it, modify it, add to it, and share it. Our aim is to provide a wide range of easy-to-use algorithms for the tomographic community "off the shelf". ... -
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Armadillo
fast C++ library for linear algebra & scientific computing
* Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads:... -
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EvilTransform
Transport coordinate between earth(WGS-84) and mars in china(GCJ-02)
eviltransform is a compact library for converting geographic coordinates between the global WGS-84 system (used by GPS) and the Chinese GCJ-02 system (used by many Chinese map services such as Google Maps China and AutoNavi). The project implements forward and inverse transformations (WGS→GCJ and GCJ→WGS) as well as a higher-precision inverse method (GCJ→WGS exact) that trades speed for sub-meter accuracy, and it includes a utility for computing geodesic distance in meters. It’s implemented (or ported) across many languages and platforms — you’ll find reference implementations in Go, C/C++/Obj-C, Java, JavaScript, Python, PHP, C#, Haskell, Rust, Swift, MATLAB and more — which makes it easy to drop into server, client, or mobile codebases. ... -
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Enhanced SAR Compression
VOP Algorithm with improved speed and compression
This work is described in: Orzada S, Fielder TM, Quick HH, Ladd ME, "A local SAR compression algorithm with improved compression, speed and flexibility", https://doi.org/10.1002/mrm.28739. This new algorithm is an iterative expansion of the exisisting local SAR compression algorithm for MRI proposed by Lee et al. ( https://doi.org/10.1002/mrm.23140) The number of VOPs is approximately halved with the new algorithm, while at the same time the compression time is reduced with speed-up factors of up to 2.5. -
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xfemm
Cross platform electromagnetics finite element analyisis based on FEMM
...The codes can be used as a library, standalone executables, or through the advanced Matlab/Octave interface, which uses direct data exchange at the memory level rather than the original FEMM ActiveX or file-based interface, for much improved communication speed. If you use xfemm, particularly for industrial work, but also academic, it will be greatly appreciated if you could write an email stating this and how it has supported your work. This is a low-cost way to ensure further development and maintenance will continue! -
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Relative Overestimation VOP
VOP compression for MRI with overestimation control
**** This work is outdated! For better compression and speed use these: ***** https://sourceforge.net/projects/enhanced-sar-compression/ Virtual Observation Points SAR compression. Contains multiple Algorithms: Compression according to Eichfelder et al. and Lee et al. The Lee algorithm is enhanced by including overestimation control to reduce maximum relative overestimation. All algorithms are implemented in Matlab and were optimized for enhanced speed. -
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SFD
S³FD: Single Shot Scale-invariant Face Detector, ICCV, 2017
...It includes training scripts, evaluation code, and pre-trained models that achieve strong results on popular benchmarks such as AFW, PASCAL Face, FDDB, and WIDER FACE. The framework is optimized for speed and accuracy, making it suitable for both academic research and practical applications in computer vision. -
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Faster R-CNN
Object detection framework based on deep convolutional networks
This repository provides a MATLAB / Caffe re-implementation of the Faster R-CNN object detection framework (originally from Ren et al. 2015). The Faster R-CNN architecture combines a Region Proposal Network (RPN) with a Fast R-CNN style detection network to share convolutional feature maps and thus speed up detection. The repo includes code to train, test, and deploy Faster R-CNN models under the MATLAB / Caffe environment, example configuration files, and model checkpoints. Multiple configuration files for different datasets and architectures. Evaluation scripts for mAP and detection metrics. -
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Toolbox
Piotr's Image & Video Matlab Toolbox
...It augments MATLAB’s native capabilities (not replacing the Image Processing Toolbox) by providing efficient, reusable wrappers and optimized routines. Example and demo scripts for usage (e.g. acfReadme, detector readmes). Support for compilation / mex (for speed) and cross-platform compatibility. -
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ECO
Matlab implementation of the ECO tracker
...It is based on discriminative correlation filters and designed to handle appearance changes, occlusions, and scale variations in visual object tracking tasks. The code provides a MATLAB implementation of the ECO and ECO-HC (high-speed) variants and was one of the top performers on multiple visual tracking benchmarks. -
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HashingBaselineForImageRetrieval
Various hashing methods for image retrieval and serves as the baseline
This repository provides baseline implementations of deep supervised hashing methods for image retrieval tasks using PyTorch. It includes clean, minimal code for several hashing algorithms designed to map images into compact binary codes while preserving similarity in feature space, enabling fast and scalable retrieval from large image datasets. -
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RAFTS3
Rapid Alignment Free Tool for Sequences Similarity Search
RAFTS3 can perform high-speed protein search comparisons locally using a desktop computer or laptop. RAFTS3 performed searches many times faster than those with BLASTp against large protein databases such as NR and Pfam, with a small loss of sensitivity depending on the similarity degree of the sequences. RAFTS3 is a new alternative for fast comparison of protein sequences, genome annotation and biological data mining. -
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OARS Android IMU & GPS Data Logger
OARS - Orientational Awareness Reaction Systems
...Depending on platform and app setting, OARS can record sensor values at a rate up to 100hz, or 100 positions per second. GPS data such as Longitude, Latitude, Direction, Speed, and Elevation, are also logged at approximately 1hz, or 1 update per second. Giving you the ability to precisely map an equipped objects location, orientation, and rate of movement along any plane with extreme accuracy. -
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ETCS/ERTMS: Conversion Models
Distance Monitoring according to ERTMS/ETCS SRS 3.3.0
...The two main components of ERTMS are the European Train Control System (ETCS), a standard for in-cab signaling and train control, and GSM-R, the GSM mobile communications standard for railway operations. The Chapter 3 of the System Requirements Specification, «Principles» of the SUBSET-026-3 (Version 3.3.0) defines in section 3.13. the onboard speed and distance monitoring. According to the specification, this project provides a cThe System Requirements Specification, Chapter 3 «Principles» of the SUBSET-026-3 (Version 3.3.0) defines in section 3.13. the onboard speed and distance monitoring. According to the specification, this project provides a collection of matlab scripts to calculate the braking distance. -
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VOC-DPM
Object detection system using deformable part models (DPMs)
...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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C2Mat is a simple wrapper library that allows OpenCV data structures to be transferred between C++ and Matlab. It lets a program combine the speed of OpenCV with the power of Matlab.
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Provides pre-compiled MEX functions that wrap around the libsvm C library. Many enhancement are applied to the C version of the library to speed up Matlab usage. 64-bit only.
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This project applies an interpretation of a k-NN algorithm to a library of GPS commuter data for speed prediction. The overall goal is to lay the foundation for a power management protocol for use in electric vehicles with hybrid energy storage.
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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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This is a Matlab Code to build your own speed meter for a Powerball using a coil of enamelled copper wire, an audio cable and a computer with Matlab. Check the code at: http://ovilloenredado.blogspot.com/2009/01/lets-powerball-ii-diy-digital-speed.html
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The CASPER library is used to program FPGA systems for high speed digital signal processing for astronomical research. This version uses Xilinx XSG/ISE/EDK 8.2.
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