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Showing 17 open source projects for "map"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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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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DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN
This repository implements DnCNN (“Deep CNN Denoiser”) from the paper “Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising”. DnCNN is a feedforward convolutional neural network that learns to predict the residual noise (i.e. noise map) from a noisy input image, which is then subtracted to yield a clean image. This formulation allows efficient denoising, supports blind Gaussian noise (i.e. unknown noise levels), and can be extended to related tasks like image super-resolution or JPEG deblocking in some variants. The repository includes training code (using MatConvNet / MATLAB), demo scripts, pretrained models, and evaluation routines. ... -
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CAM
Class Activation Mapping
...The method involves modifying a CNN model slightly (e.g., using global average pooling before the final layer) to produce a weighted combination of feature maps as the class activation map. Integration with existing CNNs (with light modifications). Sample scripts/examples using standard architectures. The repo provides example code and instructions for applying CAM to existing CNN architectures. Visualization of discriminative regions per class. -
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DDMaker
Local Distribution Density Map Maker
DDMaker perform local density analysis and generates pseudocolor maps of the spatial distribution of imaged cellular structures in 2D images, starting from either RGB color, grey level or binary images. DDMaker local density analysis permit to selectively denoise the signal, visualize and quantify its distribution and threshold the image basing on local density. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Robotics Toolbox for MATLAB
Robotics Toolbox for MATLAB
...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. The Toolbox also includes a detailed Simulink model for a quadrotor flying robot. -
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TauFactor
MatLab App for calculating the tortuosity factor of microstructure
Please contact the author at sjc08@ic.ac.uk for any questions or if you wish to cite this application in a academic study. Journal paper available here: http://www.sciencedirect.com/science/article/pii/S2352711016300280 TauFactor is a MatLab application for efficiently calculating the tortuosity factor, as well as volume fractions, surface areas and triple phase boundary densities, from image based microstructural data. The tortuosity factor quantifies the apparent decrease in... -
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ConvNet Burden
Memory consumption and FLOP count estimates for convnets
...ResNet, VGG) based on network definitions. The tool helps researchers compare the computational efficiency of architectures or quantify resource needs. Estimation of memory consumption (e.g. feature map sizes, parameter storage). Support for multiple network definitions/architectures. Estimation of memory consumption (e.g. feature map sizes, parameter storage). Estimation of FLOPs (floating point operations) for CNN architectures. -
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lottie vectors
Create, display and process 2D vectors in a 3D window.
...More exactly -displaying them in ways that hopefully will allow you to explore and better understand your vector data. The basic idea is simple, take a vector defined in one of a few different types of data formats and map it on the screen. Add another vector and you start to form a 'route'. Each route or position vector can be accompanied with a 'force' vector. This can be used to show something acting on a position with direction and magnitude. Finally you can give each position a tag to display on screen. This could be a common math symbol or greek letter, start/end signposts, or a number of the position either from the begining or after a reset. ... -
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Faster R-CNN
Object detection framework based on deep convolutional networks
...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. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Detect and Track
Code release for "Detect to Track and Track to Detect", ICCV 2017
Detect-Track is the official implementation of the ICCV 2017 paper Detect to Track and Track to Detect by Christoph Feichtenhofer, Axel Pinz, and Andrew Zisserman. The framework unifies object detection and tracking into a single pipeline, allowing detection to support tracking and tracking to enhance detection performance. Built upon a modified version of R-FCN, the code provides implementations using backbone networks such as ResNet-50, ResNet-101, ResNeXt-101, and Inception-v4, with... -
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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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GUItars
GUItars is designed for the analysis of high throughput RNAi data.
...For comparison purposes, non-SSMD-based methods such as percent activity, z-score, and t-test are also provided as scoring options. Version 2.1 released: several bugs fixed. Version 3.0 released for Windows and Mac: experiment-wise analysis option, map to all samples option (no hit cut-off needed), percent activity for replicates option and .ai output format are added -
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OARS Android IMU & GPS Data Logger
OARS - Orientational Awareness Reaction Systems
...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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A Matlab toolbox for calibrating the Kinect Sensor. It provides functions to jointly calibrate the depth sensor with a color camera as well as to generate a depth map for the color image and reproject the points in metric coordinates.
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Matlab Affine Registration
Matlab GUI for 2D Affine Image Registration
...A "Find Centroid" button is included, which will locate all centroids in the image. After selecting the markers on both images, the user clicks "Register". The floating image has a transformation applied which will map it to the reference image. An "Overlap" button is included which will allow the user to confirm registration. Supports Bitmap, JPEG, PNG, TIFF, and Analyze75 image formats. -
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MATLAB GUI and code to map cell distribution around smooth spherical microcarriers beads from laser scanning confocal microscope images
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A collection of Matlab functions and scripts for computing the saliency map for an image, for determining the extent of a proto-object, and for serially scanning the image with the focus of attention.
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