cordia2 shx 1

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Cordia2 shx 1 An introduction to the cordia2 project.The cordia2 shx is a small tool that uses hyperspectral imaging to extract information from images and videos.For example, it can spot objects such as individual flowers in a flower bed, the particular animals in an animal sanctuary, or even landmarks such as buildings or trees. This enables people to perform open-source spatial analysis on their own images and videos without having access to expensive gear like satellite imagery. The best part: it's all free! Check out how easy and fun this is: https://github. com/FPLShack/cordia2-shxcordia2 shx was developed by FPL's Open Source Team as a free and open source software with the goals of:Fuelled by this drive to build something useful, we set up a collaboration between the Open Source Team and the developer community at FPL. The goal was to build an application that could detect objects in pictures and videos. The development started in early 2013 and is now available for download (v1.5) on our GitHub page: https://github. com/FPLShack/cordia2-shxThe cordia2 shx can detect and segment plants and animals from imagery and videos. It was created to help people with little or no spatial skills to analyse remote sensing data themselves. The cordia2 shx was built using Python and is free in nature. All the code is published in our github account for everyone to use, extend, modify and reuse. The functionality of the tool is documented in the Cordia2 Project Github page: https://github. com/FPLShack/cordia2-shx/wikiThe cordia2 shx has been featured in several blogs and Youtube channels. Here are some YouTube videos about this project:We also hope that people keep helping us improve this software for everybody's use. The cordia2 shx is a free and opensource software that was developed by the FPL Open Source Team as a means to improve their workflow. It was created to help people with little or no spatial skills to analyse remote sensing data themselves. The development of this software has been driven by the desire to provide open source tools that can help solve problems for all FPL stakeholders and for everyone. We encourage you to check out our GitHub page: https://github. eccc085e13