========================= Download and Installation ========================= Picasso can be installed and used in Windows 10 and Linux (tested on `Centos 5`_). Since Picasso is developed in **Matlab (r2014a)**, it's required to have Matlab with compatible version installed in your machine. Download -------- Picasso project is hosted in `GitHub`_. The source code can be easily downloaded by running the command below, if `Git`_ was installed in your local machine. .. note:: Git is a very handy tool for code management and version control. .. code-block:: console $ git clone https://github.com/PollyNET/Pollynet_Processing_Chain/ Dependencies ------------ Since `Picasso`_ is a very powerful lidar data processing platform, including data pre-processing, lidar calibration and data visualization, etc. It relies on many dependencies for realizing these features. Below are the list of Picasso **dependencies**: - Python 3.6 - curl It's recommended to use `Anaconda`_ for managing Python. Meanwhile, `matplotlib`_ is required for data visualization, but it's pre-installed in `Anaconda`_. And some additional Python packages are necessary for calculations and `Sphinx`_ docs. Below is the list of required Python packages: .. code-block:: yaml alabaster==0.7.12 Babel==2.9.1 certifi==2021.5.30 charset-normalizer==2.0.4 colorama==0.4.4 commonmark==0.9.1 cycler==0.10.0 docutils==0.16 future==0.18.2 idna==3.2 imagesize==1.2.0 Jinja2==3.0.1 kiwisolver==1.3.1 MarkupSafe==2.0.1 matplotlib==3.3.4 numpy==1.19.5 packaging==21.0 Pillow==8.2.0 pycodestyle==2.7.0 Pygments==2.9.0 pyparsing==2.4.7 python-dateutil==2.8.1 pytz==2021.1 recommonmark==0.7.1 requests==2.26.0 rstcheck==3.3.1 scipy==1.5.4 six==1.16.0 snowballstemmer==2.1.0 Sphinx==4.1.2 sphinx-rtd-theme==0.5.2 sphinxcontrib-applehelp==1.0.2 sphinxcontrib-devhelp==1.0.2 sphinxcontrib-htmlhelp==2.0.0 sphinxcontrib-jsmath==1.0.1 sphinxcontrib-matlabdomain==0.12.0 sphinxcontrib-qthelp==1.0.3 sphinxcontrib-serializinghtml==1.1.5 urllib3==1.26.6 wincertstore==0.2 To get all packages ready at once you can also import the python environment via the 'picasso.yaml' file. SQLite is necessary for saving lidar calibration results. The `Java`_ connector has been provided in the folder of **./include**. But it needs to restart Matlab to activate this `Java`_ connector. NOTE: one has to run **addSQLiteJDBC('path_to\sqlite-jdbc-3.30.1.jar')** once! .. _Java: https://www.sqlitetutorial.net/sqlite-java/sqlite-jdbc-driver/ .. _Anaconda: https://www.anaconda.com/products/individual .. _CentOS 5: https://www.centos.org/ .. _Github: https://github.com/ .. _Git: https://git-scm.com/ .. _Picasso: https://github.com/PollyNET/Pollynet_Processing_Chain/ .. _Sphinx: https://www.sphinx-doc.org/ .. _matplotlib: https://matplotlib.org/