An algorithm to track overlapping features in video images
This package contains Python code for tracking overlapping features in video images, such as present in for example confocal images of colloidal clusters. The code is heavily based on Trackpy.
If you are new to python, please checkout this page.
With pip:
pip install https://github.com/caspervdw/clustertracking/archive/master.zip
With git:
git clone https://github.com/caspervdw/clustertracking
python setup.py install
- python (tested on both 2.7 or 3.5)
- numpy
- scipy
- pandas >= 0.17.0
- trackpy >= 0.3.0
- pims >= 0.3.3
- optional: numdifftools
API documentation is available over here. A preprint of the article corresponding to this code is available on arXiv.
This package was developed in by Casper van der Wel, as part of his PhD thesis work in Daniela Kraft's group at the Huygens-Kamerlingh-Onnes laboratory, Institute of Physics, Leiden University, The Netherlands. This work was supported by the Netherlands Organisation for Scientific Research (NWO/OCW).