PyExpress - Automating Workflows for 3D Point Cloud Reconstruction of Image Data
Authors/Creators
-
1.
Helmholtz Centre for Environmental Research
-
2.
German Federal Environment Agency
Description
PyExpress version 1.0 is a Python library for automating photogrammetric image processing using the Agisoft Metashape Python API.
It extends Metashape’s functionality, for example, by adding utility and data management tools, and offers a range of methods for developing tailored,
fully automated workflows for photogrammetric analysis on images captured by UAVs and fixed camera systems.
Additionally, PyExpress supports 4D photogrammetry for continuous monitoring with fixed stereo camera setups, and integrates with MinIO for efficient cloud storage management. It automates the generation of point clouds, orthomosaics, DEMs, 3D models, precision maps, and more. Thus, PyExpress generates data products or time-series of data products, serving various applications such as GIS, CloudCompare, or precision mapping.
Files
PyExpress-1.0.0.zip
Files
(66.5 MB)
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md5:3a6fd762a0d0aa732a997d7c5f992e78
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Additional details
Funding
- Federal Ministry of Food and Agriculture
- Experiment field for data-driven networking and digitalization in agriculture 28DE102B18
- Helmholtz Association of German Research Centres
Software
- Repository URL
- https://github.com/Helmholtz-UFZ/PyExpress.git
- Programming language
- Python
- Development Status
- Active
References
- Kobe, M., Elias, M., Merbach, I., Schädler, M., Bumberger, J., Pause, M., Mollenhauer, H., 2024. Automated Workflow for High-Resolution 4D Vegetation Monitoring Using Stereo Vision. Remote Sens. 16, 541. https://doi.org/10.3390/rs16030541