KLT Picker: particle picking using data-driven optimal templates.
Current version: 1.2.8
Project's homepage: https://github.com/ShkolniskyLab/kltpicker
Date: 10/2020
This is the Python version containing the complete source code of the KLT Picker. A MATLAB version is available at https://github.com/ShkolniskyLab/kltpicker_matlab.
Please cite the following paper when using this package: Eldar A, Landa B, Shkolnisky Y. KLT picker: Particle picking using data-driven optimal templates. J Struct Biol. 2020 May;210(2) 107473.
The package has been tested on Ubuntu 16.04 and Windows 10. It should probably work on other versions of Windows and Linux, but has not been tested on them yet. Similarly for macOS.
Python 3.6.0+ is required.
The package makes use of the pyfftw package, which in turn uses the FFTW library. Before installing KLTPicker make sure you have the FFTW library installed on your system: http://www.fftw.org/fftw3_doc/Installation-and-Customization.html#Installation-and-Customization
For optional GPU support, the package requires:
We recommend installing KLTPicker via pip:
$ pip install kltpickerIn order to enable the GPU support (provided that your system satisfies the above requirements):
$ pip install kltpicker[gpu]The tarball of the source tree is available via pip download kltpicker. You can install KLTPicker from the tarball:
$ pip install kltpicker-x.x.x.tar.gzYou can also install the development version of KLTPicker from a cloned Git repository:
$ git clone https://github.com/ShkolniskyLab/kltpicker.git
$ cd kltpicker
$ pip install .Use pip to uninstall KLTPicker:
$ pip uninstall kltpickerJust use pip with -U option:
$ pip install -U kltpickerPlease read the user manual for usage instructions, available at the homepage of the project on Github: https://github.com/ShkolniskyLab/kltpicker