The purpose of this tool is to generate a set of sample images that closely resemble the types of images that might be taken from a camera mounted on a drone. The images are simulated for approximately 150-300ft of altitude.

In addition, each image is designed to have a wide range of visual characteristics to test a computer vision pipeline's accuracy in real-world conditions. Some of the characteristics include:

• Varying background terrain fidelity, brightness, and contrast
• Varying image angles
• Varying object sizes, shapes, and colors
• Ambient light variations
• Targets of non-interest such as tents, trees, runways markers, roads, people

This tool was made to compete in the SUAS competition

To run the tool, you must install Rust on your machine

1. Download Rust from here
2. Navigate to the root of the project after cloning it to your machine
   • git clone https://github.com/dec4234/TargetGeneratorV2
3. Run cargo run --release to generate the images
   • Note that the tool will eventually include custom CLI options to give it more flexibility.