The goal of Project E-foto is to provide the full implementation of a digital photogrammetric workstation as free software under a GNU GPL license.
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Updated
Apr 15, 2026 - C++
The goal of Project E-foto is to provide the full implementation of a digital photogrammetric workstation as free software under a GNU GPL license.
Metashape step-by-step tutorial for creating point clouds, orthomosaic, DEM and meshed model from arial images
Create Aruco Markers to be used as Ground Control Points.
Image Focus Stack for Python
Python software with GUI, capable of simulating an aerial photo given a pair DEM-Orthophoto (in GeoTIFF format)
GPS-denied autonomous drone survey: RTAB-Map VIO + optical flow flight, lawnmower survey, WhyCode precision landing. Stitches 2D photos into a map, finds objects with DINOv2, and reconstructs a 3D model (photogrammetry / SfM-MVS). ROS 2 stack, live dashboard, ESP32 auto-docking.
📷 OpenMVGO - Go wrapper for OpenMVG and OpenMVS
An accessible and Open Source solution to Photogrammetry
Command-line interface tool designed for photogrammetry tasks using Meshroom's AliceVision and CloudCompare
A Collection of Blender Plugins to aid with the LOD creation of terrestrial photogrammetry models.
Converts a video into images filtered for photogrammetry, suitable for use in software like Meshroom.
A simple photogrammetry app built for systems without a dedicated GPU.
photogrammetry Pipeline for amd and nvidia with meshroom openmvs
A simple G-code feeder to interact with the GRBL firmware. For photogrammetry or other automation applications.
An automated workflow to reconstruct deciduous trees from FPV drone imagery
Turn DJI drone video into geotagged frames for WebODM orthomosaic mapping
POSEIDON (Photogrammetric Observation and Segmentation for Estimation of Inundation Depth ON-demand) is a Python-based workflow for flood-level extraction from imagery. It uses image segmentation and georectification techniques to detect water surfaces and estimate flood depths over real-world terrain.
Estimate a camera's exact 3D position (lat/lon/altitude) from a single photograph using known landmarks. Combines OpenCV PnP with a custom PyTorch gradient-descent solver (perspective-invariant angle/distance/area loss) for geolocation, camera pose estimation, and photogrammetry, running in Google Colab.
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