PyWI CTA - A CTA wrapper for PyWI¶
Copyright (c) 2016-2018 Jeremie DECOCK (www.jdhp.org)
- Web site: http://cta.pywi.org/
- Online documentation: http://cta.pywi.org/docs/
- Source code: https://github.com/jeremiedecock/pywi-cta
- Issue tracker: https://github.com/jeremiedecock/pywi-cta/issues
- PyWI-CTA on PyPI: https://pypi.org/project/pywicta/
- PyWI-CTA on Anaconda Cloud: https://anaconda.org/jdhp/pywicta
The PyWI and PyWI-CTA libraries contain:
- wavelet transform and wavelet filtering functions for image multiresolution analysis and filtering;
- additional filter to remove some image components (non-significant pixels clusters);
- a set of generic filtering performance estimators (MSE, angular precision, energy loss, contamination rate, …), some relying on the scikit-image Python library (supplementary estimators can be easily added to meet particular needs);
- a graphical user interface to visualize the filtering process in the wavelet transformed space;
- an Evolution Strategies (ES) algorithm known in the mathematical optimization community for its good convergence rate on generic derivative-free continuous global optimization problems (Beyer, H. G. (2013) “The theory of evolution strategies”, Springer Science & Business Media);
- additional tools to manage and monitor the parameter optimization.
PyWI-CTA has the following strict requirements:
PyWI-CTA also depends on other packages for optional features:
- Pillow (a.k.a. PIL) to read and write many image formats (PNG, JPEG, TIFF, …)
- Astropy to provide Fits file format
- Matplotlib 1.5 or later to provide plotting functionality
- Cosmostat iSAP Sparce2D
However, note that these only need to be installed if those particular features are needed. pywicta will import even if these dependencies are not installed.
PyWI-CTA and its dependencies may be installed using the Anaconda or Miniconda package system. We recommend creating a conda virtual environment first, to isolate the installed version and dependencies from your master environment (this is optional).
The following command will set up a conda virtual environment, add the necessary package channels, and download PyWI-CTA and its dependencies. The file environment.yml can be found in this repository. Note this is beta stage software and is not yet stable enough for end-users (expect large API changes until the first stable 1.0 release).
conda env create -n pywi-cta -f environment.yml source activate pywi-cta pip install pywicta --no-deps
If you have already installed ctapipe following the official installation procedure, you can add PyWI-CTA to the cta virtual environment like this:
source activate cta pip install pywicta --no-deps
Developers should follow the development install instructions found in the documentation.
As ctapipe is not tested to work on Microsoft Windows systems, PyWI-CTA does not officially support these systems neither.
--no-deps flag is optional, but highly recommended otherwise pip
will sometimes try to “help” you by upgrading PyWI-CTA dependencies like
Numpy, which may not always be desired.
Cosmostat iSAP Sparce2D installation¶
Unzip this archive, go to the “sparse2d” directory and compile the sparse2d library. It should generate two executables named
tar -xzvf ISAP_V3.1.tgz cd ISAP_V3.1/cxx tar -xzvf sparse2d_V1.1.tgz cd sparse2d compile the content of this directory
Get a simtel file (e.g. from there)
In your system terminal, from the directory that contains the sample image, type the following commands (where SIMTEL_FILE is the path to your simtel file):
pywicta-mrtransform -f common_hard_filtering -t 13.,1.5 -L mask --camid LSTCam --max-images 1 --plot SIMTEL_FILE pywicta-mrfilter -K -k -C1 -m3 -n4 -s2,4.5,3.5,3 --kill-isolated-pixels --camid LSTCam --max-images 1 --plot SIMTEL_FILE
pywicta-mrfilter -hto display the list of available options and their documentation.
PyWI provide some Jupyter notebooks that can be used as examples or tutorials.
- PyWI Notebooks on GitHub: https://github.com/jeremiedecock/pywi-cta-notebooks
- PyWI Notebooks on Anaconda Cloud: https://anaconda.org/jdhp/notebooks
To search for bugs or report them, please use the PyWI Bug Tracker at: