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ICEpy4D is a multi-purpose Python package for 4D Image-based Continuos monitoring of glaciers' Evolution with deep learning SfM and low-cost stereo-cameras

Home Page: https://franioli.github.io/icepy4d/

License: BSD 3-Clause "New" or "Revised" License

Python 31.75% Jupyter Notebook 68.25%
3d-reconstruction 4d deep-learning feature-matching feature-tracking glaciers photogrammetry pytorch sfm

icepy4d's Introduction

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I am a PhD student in Geomatics. My work focuses on photogrammetry and SfM for glacier monitoring.

I am developing ICEpy4D, a python package for performing 4D monitoring of an alpine glacier by using low-cost stereo cameras, Deep Learning and photogrammetry, and I am contributing to Deep-Image-Matching, a multiview matching library with deep-learning and hand-crafted local features for COLMAP and other SfM software.

I also work on integration of UAV photogrammetry, Terrestrial Laser Scanning and topographic techniques for structural health assessment, with a particular focus on cracks and damages detection on concrete bridges.

I am a UAV pilot, licensed to operate in critical scenarios.

icepy4d's People

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icepy4d's Issues

remove epoch_dict from the code

Now epoch_dict is initialized at the beginning mapping an integer to a string with the date of the epoch. This must be replaced with the timestamp that is stored in each epoch and the epoch_map dictionary inside Epoches class.

Build Point Class for storing point information

  • Build class for storing point information.

Class with the following proprieties:

  • id: int
  • coordinates: np.ndarray
  • projections: np.ndarray
  • color: np.ndarray
  • estimated: np.ndarray
  • covariance: np.ndarray
  • accuracy: np.ndarray

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