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pyexpress

https://github.com/helmholtz-ufz/pyexpress

Science Score: 39.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 2 DOI reference(s) in README
  • ○
    Academic publication links
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    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (11.3%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: Helmholtz-UFZ
  • License: other
  • Language: Python
  • Default Branch: develop
  • Size: 65.3 MB
Statistics
  • Stars: 2
  • Watchers: 3
  • Forks: 0
  • Open Issues: 1
  • Releases: 2
Created almost 6 years ago · Last pushed over 1 year ago
Metadata Files
Readme Changelog Contributing License Citation

README.md

PyExpress

PyExpress version 1.0.0 is a Python library for automating photogrammetric image processing using the Agisoft Metashape Python API. It extends Metashapes 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.

For detailed documentation, refer to the PyExpress v1.0.0 Tutorial.

Installation

To install PyExpress, please follow the detailed instructions provided in the PyExpress v1.0.0 Tutorial.

Usage

For complete instructions on how to use PyExpress, refer to the PyExpress v1.0.0 Tutorial.

License

This project is licensed under the GNU General Public License v3.0 or later - see the LICENSE.md file for details.

Contributing

For contributing to the project, please see the CONTRIBUTING.md file.

How to cite PyExpress

If PyExpress is advancing your reasearch, please cite as:

Kobe, M., Gra, R., Boedeker, H., Wehner, C., & Mollenhauer, H. (2025). PyExpress - Automating Workflows for 3D Point Cloud Reconstruction of Image Data (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.14245920

Funding

This research was funded by the Federal Ministry of Food and Agriculture, grant number 28DE102B18.

Owner

  • Name: Helmholtz Centre for Environmental Research – UFZ
  • Login: Helmholtz-UFZ
  • Kind: organization
  • Location: Leipzig, Germany

We conduct research to support a sustainable use of our natural resources to benefit both mankind and the environment.

GitHub Events

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  • Create event: 1
  • Release event: 2
  • Issues event: 1
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  • Public event: 1
Last Year
  • Create event: 1
  • Release event: 2
  • Issues event: 1
  • Watch event: 1
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  • Push event: 1
  • Public event: 1

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Last synced: 10 months ago

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  • Average comments per issue: 0.0
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Past Year
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  • Pull requests: 0
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  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Top Authors
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  • geyslein (1)
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Dependencies

requirements.txt pypi
  • astral *
  • influxdb-client *
  • minio *
  • numpy *
  • opencv-python *
  • pandas *
  • pysftp *
  • scikit-image *
  • scikit-learn *
  • seaborn *
  • tifffile *
setup.py pypi
  • astral *
  • influxdb-client *
  • minio *
  • numpy *
  • opencv-python *
  • pandas *
  • pysftp *
  • python-abc *
  • scikit-image *
  • scikit-learn *
  • seaborn *
  • tifffile *