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OpenDroneMap: Multi-Platform Performance Analysis

Author

Listed:
  • Augustine-Moses Gaavwase Gbagir

    (Department of Geographical and Historical Studies, University of Eastern Finland, Yliopistokatu 7, 80100 Joensuu, Finland)

  • Kylli Ek

    (CSC—IT Center for Science Ltd., P.O. Box 405, 02101 Espoo, Finland)

  • Alfred Colpaert

    (Department of Geographical and Historical Studies, University of Eastern Finland, Yliopistokatu 7, 80100 Joensuu, Finland)

Abstract

This paper analyzes the performance of the open-source OpenDroneMap image processing software (ODM) across multiple platforms. We tested desktop and laptop computers as well as high-performance cloud computing and supercomputers. Multiple machine configurations (CPU cores and memory) were used. We used eBee S.O.D.A. drone image datasets from Namibia and northern Finland. For testing, we used the OpenDroneMap command line tool with default settings and the fast orthophoto option, which produced a good quality orthomosaic. We also used the “rerun-all option” to ensure that all jobs started from the same point. Our results show that ODM processing time is dependent upon the number of images, a high number of which can lead to high memory demands, with low memory leading to an excessively long processing time. Adding additional CPU cores is beneficial to ODM up to a certain limit. A 20-core machine seems optimal for a dataset of about 1000 images, although 10 cores will result only in slightly longer processing times. We did not find any indication of improvement when processing larger datasets using 40-core machines. For 1000 images, 64 GB memory seems to be sufficient, but for larger datasets of about 8000 images, higher memory of up to 256 GB is required for efficient processing. ODM can use GPU acceleration, at least in some processing stages, reducing processing time. In comparison to commercial software, ODM seems to be slower, but the created orthomosaics are of equal quality.

Suggested Citation

  • Augustine-Moses Gaavwase Gbagir & Kylli Ek & Alfred Colpaert, 2023. "OpenDroneMap: Multi-Platform Performance Analysis," Geographies, MDPI, vol. 3(3), pages 1-13, July.
    • Handle: RePEc:gam:jgeogr:v:3:y:2023:i:3:p:23-458:d:1195550
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    References listed on IDEAS

    as
    1. von Krogh, Georg & von Hippel, Eric, 2003. "Special issue on open source software development," Research Policy, Elsevier, vol. 32(7), pages 1149-1157, July.
    2. Bruce Kogut & Anca Metiu, 2001. "Open-Source Software Development and Distributed Innovation," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 17(2), pages 248-264, Summer.
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