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  license: mit
 
 
 
 
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  license: mit
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+ tags:
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+ - neural_network
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+ - CNN
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+ - training_data
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  ---
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+
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+ # Collision
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+
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+ ## Intro
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+ 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 ...
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+ For training, validation and testing it uses abstract Blender generated images (size: 540 x 540 x 3) of cubes.
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+ Futher it can use an LeNet-5 like architecture (for more see convolutional neural networks on Wikipedia).
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+ The whole can be used as a template for other CNN projects. Feel free.
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+
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+ ## The data
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+ The github repo https://github.com/osick/collision comes with this large data file with thousand of generated images of two cubes in three different categories:
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+
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+ * collision: The two cubes toch each other but don't contain themself
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+ * in: One cube contains the other
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+ * out: The cubes are separated
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+
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+
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+ ## More Info
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+ For more infos see https://github.com/osick/collision