30 open-source projects similar to opendronemap/odm, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best OpenDroneMap ODM alternative.
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
COLMAP is a 3D scene reconstruction suite and C++ geometry library that implements a full structure-from-motion pipeline. It functions as a GPU-accelerated photogrammetry tool and multi-view stereo framework designed to produce dense 3D geometry and watertight meshes from collections of 2D images. The project distinguishes itself through hardware-accelerated feature extraction and a modular camera modeling system that supports perspective, fisheye, and equirectangular lens types. It employs vocabulary tree image retrieval to efficiently identify similar images in large datasets and provides P
OpenSfM is a computer vision library and structure-from-motion pipeline designed to reconstruct three-dimensional scenes and camera trajectories from overlapping images. It functions as a 3D reconstruction engine and photogrammetry toolkit, utilizing automated feature-based image matching and incremental bundle adjustment to derive spatial geometry. The system distinguishes itself as a geospatial alignment tool, integrating GPS and inertial sensor data to align reconstructed 3D models with real-world geographic coordinates. It employs a hybrid Python and C++ execution model to manage large-sc
openMVS is a multi-view stereo library and photogrammetry pipeline used for 3D scene reconstruction. It transforms Structure from Motion data—specifically camera poses and sparse point clouds—into detailed 3D models consisting of dense point clouds and textured meshes. The project provides a sequence of processing stages to densify point clouds, generate 3D surface meshes, and apply photorealistic textures. It uses multi-view texture blending to map accurate colors onto reconstructed geometry and employs iterative refinement to optimize mesh details. The system includes capabilities for impo
WebODM is a photogrammetry software suite and drone image processing platform used to transform raw aerial photographs into spatial data. It functions as a geospatial mapping tool for generating georeferenced 2D maps, 3D point clouds, and digital elevation models. The system operates as a 3D mesh generator that converts overlapping aerial photos into textured models. It provides an aerial mapping workflow to produce precise outputs for geographic analysis and surveying through various photogrammetry engines. The platform includes capabilities for geospatial data visualization and the process
openMVG is a computer vision geometry library and toolkit for multiple view geometry. It serves as a framework for structure from motion and 3D scene reconstruction, providing the tools necessary to recover 3D point clouds and camera poses from collections of 2D images. The library implements both global and incremental structure-from-motion pipelines. It uses geometric algorithms to calculate camera pose estimation and image localization, employing Levenberg-Marquardt bundle adjustment to refine 3D coordinates and camera parameters by minimizing reprojection error. The project covers a broa
VDO.Ninja is a low-latency peer-to-peer media routing service and video streaming platform designed to integrate remote audio and video feeds into professional production workflows. It functions as a WebRTC broadcast integration tool and studio controller, allowing for the direct transmission of high-definition media between publishers and viewers with minimal delay. The platform distinguishes itself through extensive protocol bridging, converting between WebRTC, WHIP, WHEP, SRT, and RTMP to ensure compatibility across diverse network environments and professional studio software. It includes
Meshroom is a node-based photogrammetry software designed to transform collections of two-dimensional images into three-dimensional models and scene geometry. It provides a visual interface for constructing and managing modular data pipelines, allowing users to automate complex computer vision tasks such as feature extraction, depth map estimation, and mesh generation. The software distinguishes itself through a distributed computational framework that dispatches resource-intensive tasks across local hardware or remote render farms. By utilizing a directed acyclic graph execution model, it en
VGGT is a computer vision framework designed for neural scene reconstruction and 3D environmental modeling. It utilizes a feed-forward neural architecture to process input images, simultaneously inferring camera parameters, depth maps, and point trajectories to generate dense 3D point clouds. The system distinguishes itself by integrating multi-view geometry with temporal tracking, allowing it to maintain spatial consistency across sequential frames. By leveraging pretrained neural backbones, the framework extracts robust visual features that support complex geometric tasks, including the ana
This project is a 3D visual localization framework designed to determine a camera's exact position and orientation by matching 2D image features against a 3D reference model. It includes a structure-from-motion pipeline to reconstruct 3D scene geometry from unordered image sets, creating the necessary spatial maps for localization. The system employs a hierarchical coarse-to-fine localization approach. This process begins with a global-descriptor image retrieval system to identify candidate reference images from a large database and progresses through local feature matching to final 3D model
Depth-Anything-3 is a collection of core model implementations for depth prediction, multi-view geometry estimation, and RGB-D spatial pipelines. It includes a monocular depth estimation model for predicting depth maps from single images or video, and a 3D Gaussian splatting generator that predicts parameters to synthesize high-fidelity novel views of a scene. The project provides a multi-view geometry estimator for calculating spatially consistent depth and camera poses across synchronized visual inputs. It also functions as a visual SLAM enhancement tool designed to reduce drift and improve
ORB_SLAM2 is a visual simultaneous localization and mapping system that tracks camera movement and builds 3D environments from image data. It functions as a real-time visual odometry tool and sparse 3D reconstructor, computing the position and orientation of a camera while generating a point cloud map of a physical space. The system utilizes a camera relocalization engine to identify a camera's position within a known map after tracking failure or system restarts. It incorporates a spatial tracker to enable the precise insertion and composition of virtual 3D objects into real-world planar reg
Arnis is a web-based world builder and geographic data converter that translates open mapping and topographic data into three-dimensional digital maps. It functions as an OpenStreetMap terrain generator, converting real-world elevation and geographic data into playable 3D worlds. The project distinguishes itself by providing a browser-based interface for world generation, allowing users to select geographic areas and generate terrain without installing local software. It includes a cross-platform map exporter capable of producing world files compatible with various software versions and opera
Open3D is a software toolkit designed for the processing, alignment, and reconstruction of three-dimensional data. It functions as a computer vision geometry engine that enables the manipulation of point clouds, meshes, and volumetric grids derived from sensor inputs. The library distinguishes itself through a high-performance computational core that executes geometric processing tasks in native code, paired with a binding layer that exposes these capabilities to high-level languages for rapid prototyping. It provides specialized algorithms for spatial registration, allowing users to merge mu
Gaussian Splatting is a computational framework designed to transform sparse sets of two-dimensional photographs into photorealistic, interactive three-dimensional scene representations. The system functions as a reconstruction tool and rendering engine, enabling the conversion of image data into volumetric models that support novel view synthesis. The project represents scenes as a collection of anisotropic three-dimensional Gaussians, which store position, opacity, color, and covariance data. It distinguishes itself through a differentiable tile-based rasterization process that projects the
Hyperion is an ambient lighting controller and screen color capture engine designed to synchronize networked LED hardware with real-time video and audio content. It functions as a programmable lighting effects engine and networked server, capturing frames from system displays or USB devices to extract dominant colors for immersive lighting environments. The system distinguishes itself through a protocol-agnostic hardware abstraction layer and a coordinate-based LED mapping system that uses keystone correction for precise physical alignment. It features a modular scripting engine for custom vi
PySceneDetect is a suite of tools for identifying cuts and transitions in video files using content, threshold, and histogram detection algorithms. It functions as a scene detector, frame extractor, statistics analyzer, metadata exporter, and video scene splitter. The project identifies scene boundaries and can divide video files into smaller clips using external processing tools. It allows for the extraction of representative image frames from detected changes and the export of scene lists into industry-standard formats such as EDL, FCP, HTML, OTIO, and CSV. The toolset includes capabilitie
Cesium is a JavaScript geospatial visualization library and 3D globe engine designed to render world-scale environments and precision spatial data. It functions as a web-based mapping tool that displays hardware-accelerated 3D globes and 2D maps directly in a browser without requiring external plugins. The project operates as a 3D tiles renderer, utilizing the 3D Tiles open standard to stream and display large-scale geospatial datasets. It enables the visualization and analysis of high-accuracy spatial information across global environments. The library covers a broad range of capabilities,
p-queue is a JavaScript promise queue and concurrent task scheduler designed to limit the number of active asynchronous operations. It serves as an asynchronous rate limiter and promise lifecycle manager to prevent resource exhaustion. The project distinguishes itself through priority-based task scheduling and token-bucket rate limiting to control execution frequency. It integrates with abort signals for task cancellation and provides mechanisms to pause, resume, and clear pending operations. The tool covers broader traffic management capabilities including operation timeouts and concurrency
JavaCV provides a Java-based interface for native computer vision and video processing libraries. It functions as a wrapper for native vision libraries, allowing Java applications to perform image analysis, object detection, and video stream processing. The project integrates comprehensive computer vision capabilities, including facial recognition, image segmentation, and optical flow analysis for motion tracking. It also provides tools for hardware geometry calibration and projector-camera alignment to ensure accurate spatial representation. The system covers high-performance media renderin
This project is a computer vision pipeline and volumetric rendering system used to transform photos and videos into high-fidelity 3D models. It implements a deformable neural radiance field framework that optimizes deformation fields to represent non-rigid moving subjects in three dimensions. The system utilizes volumetric deformation fields to map 3D coordinates from a static canonical space to a deformed state. This allows for the reconstruction of photorealistic scenes and the synthesis of high-fidelity images from camera perspectives not present in the original input data. The framework
Cesium is a JavaScript library designed for rendering high-precision 3D globes and 2D maps within web browsers. It functions as a visualization engine that leverages hardware-accelerated graphics to display complex geographic data, terrain, and imagery. The library distinguishes itself through a modular architecture that supports the streaming of massive geographic datasets. By employing tiled data delivery and hierarchical level-of-detail optimization, it maintains performance while navigating large-scale environments. It also includes a time-dynamic state management system, which synchroniz
PDF-Guru is an AI-powered document processor and study material converter designed to transform textbooks, research papers, and multimedia content into structured flashcards for spaced repetition systems like Anki. It functions as a content pipeline that uses language models to extract key concepts and facts from unstructured documents to generate question-and-answer pairs, cloze deletions, and multiple-choice cards. The system distinguishes itself through a comprehensive PDF management suite and multi-format parsing. It provides advanced document utilities including optical character recogni
SmarterStreaming is a cross-platform SDK for hardware-accelerated audio and video capture, encoding, and streaming. It provides a complete media pipeline for low-latency RTMP and RTSP streaming, and includes an embedded lightweight RTSP server that can serve live feeds directly from the source device to local network clients without requiring a separate server. The SDK also integrates with GB28181 surveillance platforms, enabling compliant device registration and streaming for standardized video monitoring systems. The project distinguishes itself through a set of integrated capabilities for
Uploader is a client-side library designed to manage asynchronous file transfers within web applications. It provides a comprehensive suite of tools for handling the entire upload lifecycle, including file selection, validation, transmission, and monitoring. The library distinguishes itself through its integration of drag-and-drop interfaces and structured queue management. It allows developers to organize multiple files into queues for sequential or parallel processing while maintaining programmatic control to start, pause, cancel, or reset individual transfer sessions. Beyond core transfer
GoCV is a computer vision library and Go language binding for OpenCV. It serves as an image processing toolkit and deep learning inference engine, providing programmatic access to a wide range of algorithms for image manipulation, object detection, and video analysis. The project differentiates itself through high-performance native bindings and hardware acceleration. It utilizes a foreign function interface to map Go calls to C++ functions and includes a hardware-agnostic backend dispatch to route neural network tasks to computation engines such as CUDA and OpenVINO. The library covers a br
Screenbox is a media player application designed for playing local and network video files. It functions as a network media streamer and a video casting client, enabling the browsing and streaming of media over a local network or to external remote viewing devices. The application features a picture-in-picture mode that detaches video content into a floating window that remains on top of other applications. It also supports gesture-based playback control, allowing users to seek through content and adjust volume levels using mouse or touch gestures. Additional capabilities include video frame
Coil is an image loading and caching pipeline designed for Android and Compose Multiplatform applications. It functions as a comprehensive loader, caching engine, and rendering utility that asynchronously fetches and displays images from network URLs, local storage, and multiplatform resource systems. The library distinguishes itself through a flexible fetcher-decoder pipeline and an interface-driven component registry, allowing for the integration of custom networking clients and decoders. It provides specialized support for rendering scalable vector graphics, animated formats such as GIF an
GPAC is an open-source multimedia framework built around a pluggable filter graph pipeline, where modular processing units called filters connect into a directed graph to handle media workflows. At its core, the framework centers all media packaging and manipulation on the ISO Base Media File Format (ISOBMFF), with specialized tools for reading, writing, fragmenting, and encrypting MP4 and related containers. It also provides a declarative scene graph composition system for describing interactive multimedia scenes using MPEG-4 BIFS, X3D, SVG, or VRML syntax, alongside a hardware-accelerated re