1 setup_rad_tag

Commander1024 edited this page 2020-04-24 23:05:17 +02:00

Table of Contents

• Setup rad_tag
• Dependencies
• Setting up a virtual environment using pipenv
• Debian / Ubuntu
• Fedora

Setup rad_tag

You can use rad_tag in one of the following two ways:

1. You can satisfy all dependencies using your distro's packet manager and just run the script from git.
2. Set up a pipenv and satisfy dependencies locally in the VirtualEnv.

Dependencies

Right now it depends on the following non-core Python 3 libraries. These can be installed using the package manager of your distribution.

• py3exiv2 A Python 3 binding for (lib)exiv2.
• pytz World timezone definitions, modern and historical.
• gpxpy gpx-py is a python GPX parser. GPX (GPS eXchange Format) is an XML based file format for GPS tracks.

If you chose the first, install the dependencies manually and run my script, otherweise follow the next instructions.

Setting up a virtual environment using pipenv

If you prefer to use more updated versions of the dependencies or you do not want to use Python dependencies into your system, I prepared a pipenv virtual environment for you.

Using pipenv install all dependencies will be installed automatically. With pipenv shell you can source the venv.

For py3exivv2 to work / compile the following dependencies must be installed - preferably from your system's package manager:

• exiv2 and it's development package. Exiv2 is a Cross-platform C++ library and a command line utility to manage image metadata.
• boost and it's development package. Boost provides free peer-reviewed portable C++ source libraries.
• boost.python3 and it's development package. A C++ library which enables seamless interoperability between C++ and the Python programming language.

Debian / Ubuntu

sudo apt install pipenv build-essential python-all-dev libexiv2-dev libboost-python-dev

Fedora

sudo dnf install pipenv exiv2-devel boost-devel boost-python3-devel make automake gcc gcc-c++

Proceed to How to use rad_tag.