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Back to opengeos/segment-geospatial

Open-source alternatives to Segment Geospatial

30 open-source projects similar to opengeos/segment-geospatial, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Segment Geospatial alternative.

  • torchgeo/torchgeotorchgeo avatar

    torchgeo/torchgeo

    4,077View on GitHub↗

    TorchGeo is a PyTorch library designed for deep learning on geospatial data, providing a framework for building and training neural networks for tasks such as semantic segmentation, object detection, and change detection. It serves as a comprehensive pipeline for remote sensing, featuring specialized dataset loaders and multispectral image preprocessing tools. The library is distinguished by a dedicated remote sensing model zoo and extensive support for transfer learning, allowing users to integrate pre-trained weights optimized for specific satellite sensors. It also includes support for sel

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  • chaoningzhang/mobilesamChaoningZhang avatar

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    5,795View on GitHub↗

    MobileSAM is a lightweight image segmenter and promptable vision model designed for fast object isolation on resource-constrained hardware. It functions as an automatic image masking tool capable of detecting and isolating distinct objects across an entire image without manual input. The system enables prompt-based object masking using coordinate points or bounding boxes to generate precise masks. It also supports all-object image segmentation through object-aware prompt sampling to identify every distinct object in a scene. To facilitate mobile and edge deployment, the model is compatible w

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  • bowang-lab/medsambowang-lab avatar

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    4,316View on GitHub↗

    MedSAM is a deep learning framework designed for automating the segmentation of anatomical structures in 2D and 3D medical imagery. It provides specialized tools for fine-tuning pretrained segmentation weights on custom medical datasets and evaluating the accuracy of those predictions against ground truth labels. The project focuses on adapting the Segment Anything Model architecture for medical use, enabling the isolation of specific anatomical structures through prompt-guided methods such as bounding boxes and point prompts. The system covers a full medical AI workflow, including data engi

    Jupyter Notebook
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    ant-research/MagicQuill

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    MagicQuill is a suite of interactive tools for image segmentation, diffusion-based editing, layered composition, and prompt-guided visual synthesis. It functions as a diffusion model image editor and a layered visual composition tool, enabling the addition, removal, and recoloring of image elements through a combination of sketches and text prompts. The system features a prompt-guided image generator that predicts editing instructions by analyzing user drawings to automatically populate text prompts. It allows for visual style control by swapping generative model weights to shift outputs betw

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    Leafmap is a Python geospatial visualization library designed for creating interactive maps and performing geospatial analysis within Jupyter environments. It provides a comprehensive set of tools for building interactive map interfaces, browsing and visualizing SpatioTemporal Asset Catalog items, and connecting to PostGIS databases for spatial data rendering. The project distinguishes itself through a backend-agnostic rendering system that allows users to switch between different mapping engines while maintaining a consistent API. It features specialized capabilities for Cloud Optimized GeoT

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    sam-hq is a collection of pre-trained vision foundation models and adapters designed for high-quality image segmentation, multimodal feature extraction, and depth estimation. It provides a zero-shot vision model capable of performing segmentation and classification across diverse domains without requiring task-specific training. The project features a high-quality image segmentation tool based on the Segment Anything Model that generates precise masks from spatial prompts. It includes a multimodal feature extractor to generate high-dimensional vector embeddings from both image and text inputs

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    visioncortex/vtracer

    5,452View on GitHub↗

    vtracer is a raster to SVG converter and image vectorization pipeline. It transforms high-resolution scans and pixel-based images into scalable vector graphics by tracing shapes and colors. The tool includes a specialized pixel art vectorizer that converts low-resolution raster graphics into vector shapes while preserving a pixelated aesthetic. It also functions as a Bezier curve fitting tool to simplify dense point sets into smooth curves, reducing the complexity of vector paths. The project covers large scale image vectorization for gigapixel-scale data, color clustering and patch segmenta

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    CASIA-LMC-Lab/FastSAM

    8,364View on GitHub↗

    FastSAM is an image segmentation framework that uses convolutional neural networks to isolate visual elements and generate masks for detectable objects within images. It provides a system for both automatic all-object segmentation and promptable image segmentation. The project utilizes an inference-optimized architecture to reduce computational overhead, enabling faster mask generation and real-time visual analysis. It supports the creation of precise masks through various prompt inputs, including points, bounding boxes, and text descriptions. The framework covers broader computer vision cap

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    4,790View on GitHub↗

    This project is a multi-modal image segmentation framework and a text-to-mask vision model. It serves as a SAM-based visual segmenter designed to isolate distinct objects within images and video by converting natural language prompts and other inputs into pixel-level semantic masks. The system functions as a multi-modal image segmentation framework that integrates text, image, and audio signals to generate masks. It includes an interactive video object tracker that isolates and tracks visual entities across video frames using referring images or textual queries. The framework provides capabi

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    View on GitHub↗4,790
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    joanrod/star-vector

    4,462View on GitHub↗

    Star-vector is a suite of vision-language systems designed to generate scalable vector graphics from text or image inputs. It utilizes a vision-language foundation model to treat the creation of visual elements as a structured code generation task. The system employs a multimodal architecture that maps visual patterns and shapes to corresponding structural elements in a vector code sequence. It incorporates a render-loop feedback mechanism and reinforcement learning to iteratively refine the fidelity of the generated graphics by comparing rendered outputs against target images. The project c

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    13,158View on GitHub↗

    Primitive is an algorithmic art generator and geometric image reconstruction tool that transforms raster images into stylized vector compositions. It functions as an iterative shape optimizer and raster-to-vector converter, approximating pixel-based photos by layering geometric primitives such as triangles, circles, and rectangles. The project utilizes a search algorithm to determine the optimal position, size, and color for each shape to minimize the visual difference from the source image. Users can apply shape constraint definitions to control the properties and orientations of the geometr

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    This project is a comprehensive educational resource and technical guide for building enterprise backend applications and RESTful services using the Spring Boot framework. It serves as a step-by-step tutorial for developing server-side logic, API routing, and distributed systems within the Java ecosystem. The documentation provides specific implementation guides for microservices architecture, focusing on coordinating distributed services and event-driven communication. It includes a practical reference for the Spring ecosystem, with detailed sections on security implementation and data persi

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    This project is a collection of educational resources and step-by-step tutorials for Java backend development. It provides implementation guides for building web services and applications using the Spring Boot framework, focusing on the development of data streams and concurrent tasks. The repository includes technical walkthroughs for Kubernetes cluster automation, specifically regarding the creation of custom operators and admission controllers. It also serves as a manual for cloud native integration, covering the packaging of applications into containers and the use of distributed event me

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    3,960View on GitHub↗

    geemap is a Python library and toolkit for interactive geospatial analysis, visualization, and satellite imagery analysis using Google Earth Engine data and cloud computing. It provides a mapping tool for displaying geospatial datasets within Jupyter notebooks and a suite of tools for classifying imagery and calculating zonal statistics. The project includes a utility to convert geospatial analysis scripts from JavaScript into Python code to facilitate data manipulation. It also enables the generation of timelapse animations and time-series visualizations from satellite imagery catalogs. The

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    This project provides an English dictionary REST API and a corresponding web browser extension. It serves as a programmatic interface for retrieving linguistic data, including word definitions, phonetic transcriptions, parts of speech, and synonyms via HTTP requests. The browser extension implements in-browser word lookup by injecting content scripts that listen for double-click events. When a user selects text, the tool renders a DOM-based overlay to display the word's meaning in a pop-up bubble at the cursor position. The system utilizes asynchronous network fetching and external API proxy

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    3,962View on GitHub↗

    geemap is a Python library and geospatial toolkit designed for interactive mapping, remote sensing visualization, and satellite imagery analysis. It serves as a Python interface for Google Earth Engine, enabling users to manage cloud-based geospatial workflows and visualize datasets within notebook environments. The project distinguishes itself through automated code conversion, allowing scripts and notebooks to be translated between programming languages. It also provides specialized remote sensing visualization capabilities, such as generating time-lapse GIFs from imagery sequences with sup

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    Kepler.gl is a web-based geospatial visualization framework designed for rendering large-scale location datasets. It functions as a modular React mapping component that enables developers to embed interactive, high-performance geographic visualizations into web applications, serving as a comprehensive engine for building browser-based GIS dashboards. The library distinguishes itself through a highly extensible architecture that centers on centralized state management. By utilizing a predictable state-driven model, it allows for the programmatic control of map layers, filters, and viewport set

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    12,287View on GitHub↗

    Prettymaps is a geospatial data visualization library designed to transform raw geographic coordinates into stylized, artistic maps. It functions as an automated generator that retrieves vector data from OpenStreetMap to create custom visualizations for any location worldwide. The library distinguishes itself through a declarative configuration system that allows users to apply consistent visual themes and design presets across different map layers. By utilizing a procedural drawing engine, it stacks geometric layers onto a coordinate-based canvas, ensuring that geographic features are render

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    View on GitHub↗13,875
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    View on GitHub↗6,727
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    X-Track is a firmware project for an embedded bicycle computer that combines GPS-based speed and ride metrics with offline map navigation. It functions as a GPS bicycle speedometer, displaying speed, distance, altitude, and other ride data on a handlebar-mounted screen, while also serving as an offline map viewer that renders locally stored map tiles without an internet connection. The project distinguishes itself by including a firmware emulator that runs the embedded code on a PC, enabling development and testing without physical hardware. It also provides GPS-based clock calibration to aut

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    Flask-restful is a toolkit for building structured web services using Flask. It functions as a resource-based routing library and a RESTful web service toolkit that organizes endpoints into resource classes. The framework implements a system that maps HTTP methods to specific class methods to handle requests and responses. It utilizes a central registry for resource registration to automate route creation and uses decorators for method dispatch and resource access control. The project covers request and response management through declarative request parsing, argument validation, and data ty

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    go-restful is a framework for building RESTful web services in Go. It functions as a toolkit for managing API endpoints, providing a request router that maps incoming HTTP requests to handler functions using path parameters and custom URL patterns. The framework includes a data conversion layer that transforms Go structures into JSON or XML formats for request and response bodies. It also provides a system for organizing related web services into containers to manage endpoint prefixing and shared configuration. The project covers request lifecycle management through middleware filters for va

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    Dependency-Track is a software composition analysis tool and vulnerability management system designed to track dependencies and supply chain risk. It functions as a platform for ingesting and analyzing CycloneDX software bills of materials to identify known vulnerabilities and license compliance issues within third-party software components. The system distinguishes itself by mirroring external vulnerability databases locally to enable fast offline analysis and using VEX documents to differentiate between technical vulnerabilities and actual contextual risks. It also integrates with identity

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    Unovis is a modular SVG and Canvas data visualization library used to build interactive charts, maps, and network graphs. It provides a framework-agnostic set of primitives for creating data dashboards and specialized visualizations. The library is distinguished by its dedicated toolkits for different visualization domains, including an XY charting library for coordinated plots, a network graph framework for relational data, and a geospatial visualization toolkit for TopoJSON-based mapping. Its capability surface covers a wide range of data representations, including linear, area, and bar ch

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    45,200View on GitHub↗

    Leaflet is a lightweight JavaScript mapping library used to build mobile-friendly interactive maps on web pages. It functions as an open-source geospatial toolkit and web map renderer, providing the necessary tools to display geographical tiles and vector data. The framework is designed as a mobile-first map interface, ensuring that mapping experiences remain responsive and efficient across both desktop browsers and mobile devices. It enables the creation of custom map implementations and the visualization of geospatial data through the addition of markers, popups, and layers. The library co

    JavaScriptjavascriptleafletmaps
    View on GitHub↗45,200