osick/collision

Collision Intro Collision is a simple proof of concept at https://github.com/osick/collision of a neural network detecting collsions of bodies (see the images above). In this setup it can reach an accuracy of about 98% which sounds good, but in fact is not good enough remembering self driving cars ... For training, validation and testing it uses abstract Blender generated images (size: 540 x 540 x 3) of cubes. Futher it can use an LeNet-5 like architecture (for… See the full description on the dataset page: https://huggingface.co/datasets/osick/collision.

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