drone2report

From orthophoto to summary statistics, indexes, and more.

Usage

Clone the repository, create the conda enviroment with:

conda env create --file environment.yml

then fill an appropriate .ini file and run:

python3 drone2report.py <your config .ini file>

The idea is that you don't write any python code, but just fill your appropriate .ini file.

Then, if you really really want, you can write some python code (i.e. you can easily expand the pipeline with your own custom analyses).

The sample_config.ini file is self documented and should be enough easy to understand to let you start.

The pipeline runs through three steps

data load: one data block per image. All active images are loaded (with their accompanying shapefile). Some info are print on screen
task(s): all active task blocks are executed on all images. Their results are saved on disk
render(s): all renders are executed to collect and consolidate the tasks results. The results are again saved on disk

This is a joint effort between:

The development has also been sponsored by the Polyploidbreeding project (PRIN 2022, Settore LS2)