Welcome to ICEpy4D

4D Image-based Continuos monitoring of glaciers' Evolution with low-cost stereo-cameras and Deep Learning photogrammetry.

ICEpy4D is a under active development.

Gettin Started

To get started with ICEpy4D you can refer documentation at https://franioli.github.io/icepy4d/ (please, note the documentation is currently under development).
You can find some Jupyter Notebooks with examples in the notebooks folder.

Requirements

64-bit Python >= 3.8 but < 3.10
a NVIDIA graphic card with CUDA capability is strongly reccomended.

Installation guide

Create a new Anaconda environment

conda create -n icepy4d python=3.9
conda activate icepy4d

Install Icepy4D from PyPi repository

pip install icepy4d

or install it from source by cloning the repository and installing it with pip

git clone https://github.com/franioli/icepy4d.git
cd icepy4d
pip install -e .

In case of any error when installing ICEpy4D from PyPi, try to install it from source.

Install Metashape Python API for Bundle Adjustment and Dense reconstruction. Metashape Python API can be downloaded from https://www.agisoft.com/downloads/installer/ or use wget (under Linux).

wget https://s3-eu-west-1.amazonaws.com/download.agisoft.com/Metashape-1.8.5-cp35.cp36.cp37.cp38-abi3-linux_x86_64.whl
pip install Metashape-1.8.5-cp35.cp36.cp37.cp38-abi3-linux_x86_64.whl

You need to have a valid Metashape license to use the API and you need to activate it (see https://github.com/franioli/metashape for how to do it)

Try to import ICEpy4D package

conda activate icepy4d
python -c "import icepy4d"

If no error is given, ICEpy4D is successfully installed and it can be imported within your script with import icepy4d

Cite ICEpy4D

If you use ICEpy4D in your research, please cite it as:

@article{ioli2024,
  title={Deep Learning Low-cost Photogrammetry for 4D Short-term Glacier Dynamics Monitoring},
  author={Ioli, Francesco and Dematteis, Nicolò and Giordan, Daniele and Nex, Francesco and Pinto Livio},
  journal={PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science},
  year={2024},
  DOI = {10.1007/s41064-023-00272-w}
}

@article{ioli2023replicable,
  title={A Replicable Open-Source Multi-Camera System for Low-Cost 4d Glacier Monitoring},
  author={Ioli, F and Bruno, E and Calzolari, D and Galbiati, M and Mannocchi, A and Manzoni, P and Martini, M and Bianchi, A and Cina, A and De Michele, C and others},
  journal={The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
  doi={10.5194/isprs-archives-XLVIII-M-1-2023-137-2023},
  url={[https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-137-2023](https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-137-2023)},
  volume={XLVIII-M-1-2023},
  pages={137--144},
  year={2023},
  publisher={Copernicus GmbH}
}

For contributing

Install additional requirements for development:

pip install -e .[dev]
pre-commit install