ConeNet-V2 is a specially-tuned fully-convolutional neural network for self-driving race cars. Its architecture is broadly yolo-like and it is wholly implemented in Pytorch.
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UQRacing/ConeNet-v2
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A highly optimised FCN for cone detection (AV)
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