The Automated Drone Image Analysis Tool (ADIAT) provides a platform through which algorithms can be used to programmatically identify areas of interest in a set of image The primary use case for this tool is to aid in the analysis of images taken by UAVs during Search and Rescue Operations.
This tool was developed by Texas Search and Rescue (TEXSAR) as an open source project for the SAR community.
For more information about this project or to download the Windows Installer, please visit: https://www.texsar.org/automated-drone-image-analysis-tool/
- Leverages Color Detection capabilities provided by OpenCV (https://opencv.org/)
- UI build on QT_ Framework (https://www.qt.io/)
First of all make sure you have pipenv installed and then initialize a working development environment like this
pipenv install --dev
Once all dependencies are installed, you should enter the environment shell like this::
pipenv shell
Once done, you can run the application like this::
python app
In order to ease the development process, the Qt Creator project app.pro is
provided. You can open it to edit the UI files or to manage resources.
UI files and resources can be built like this
python setup.py build_res
Note that this command is automatically run before running sdist and
bdist_app commands.
You can generate a compiled application so that end-users do not need to
install anything. You can tweak some settings on the app.spec file. It can
be generated like this
python setup.py bdist_app
If you are interesting in contributing to this project by either enhancing an existing capability or adding new features/algorithms please reach out to charlie.grove@texsar.org