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Python library for identifying AUVSI SUAS targets

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target-finder

Python library for identifying AUVSI SUAS targets.

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Installation

To install from source right from GitHub, run the following:

$ pip install git+https://github.com/uavaustin/target-finder.git

Alternatively, target-finder can be fetched from GitHub Releases:

$ pip install https://github.com/uavaustin/target-finder/releases/download/v0.3.1/target-finder-0.3.1.tar.gz

Python 3 is required. If python --version shows Python 2, then use python3 and pip3 instead.

This will not install OpenCV and target-finder-model automatically, those must be installed separately. Other dependencies, however, will be fetched automatically.

OpenCV

The easiest way to install OpenCV is with pip install opencv-python. However, this might not work on all platforms.

target-finder-model

The model used for target-finder is packaged in target-finder-model. It can be installed from GitHub Releases:

$ pip install https://github.com/uavaustin/target-finder-model/releases/download/v0.2.0/target-finder-model-0.2.0.tar.gz

Command-line Interface

The library ships with target-finder-cli command, type target-finder-cli -h in the command-line after installing for help and usage.

usage: target-finder-cli [-h] [-v] targets ...

optional arguments:
  -h, --help       show this help message and exit
  -v, --version    show the version and exit

subcommands:
    targets        finds the targets in images

For example, to check for all the targets in two folders and put them in a folder called out/, you can use

$ target-finder-cli targets folder-1 folder-2 -o out

By default, all the target images and metadata will go into your current directory.

Testing

The target-finder library uses tox to manage its tests.

To run the tests, first install tox.

$ pip install tox

Now unit tests can be run by simply calling:

$ tox

This will take care of installing the "standard" opencv-python, target-finder, and target-finder-model packages. Note that this may not work out-of-the-box on all systems. The tests can be run manually by fetching the test dependencies needed (see tox.ini) and run with pytest.