Shypd.aiThe largest open index of AI toolsAutomold--Road-Augmentation-Library is an image generation tool that augments road images to simulate various real-world scenarios for training autonomous vehicle neural networks. It helps train CNNs in specific weather and road conditions.
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Automold--Road-Augmentation-Library is a Python library designed to augment road images, introducing a variety of real-world scenarios that challenge neural networks used in autonomous vehicles. It allows for the simulation of specific weather and road conditions such as rain, fog, snow, and gravel, which are crucial for robust CNN training. The library provides functions to brighten or darken images, add shadows, introduce various types of rain (drizzle, heavy, torrential), fog, snow, gravel, sun flares, and even speed effects. It also includes functions for image flipping and adding manholes, significantly expanding the image corpus for training and improving the resilience of autonomous driving systems.
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