Recently, a CMU graduate student modified his mouse so that the mouse can automatically aim and “accurately hit”, and it will not be blocked by the FPS physics plug-in. Before this, although there were some physical plug-ins, it could not completely let the mouse move and complete the shooting. This little brother has developed an FPS physical plug-in that can independently aim and shoot, and his current performance in the training ground Aim Lab has surpassed some FPS professional players. The little brother said that in order for the mouse to “learn” to aim, he first designed a chassis for the mouse. The chassis uses four omnidirectional wheels and corresponding control motors, which can make the robot move flexibly in any direction, including walking in a straight line, etc., and these wheels are controlled by different motors. After the basic movement operation is implemented, the next step is to use computer vision algorithms to make it learn to “find its own prey”. The little brother wrote a Python target detection algorithm based on OpenCV, and trained it to quickly aim at the corresponding target according to the position of the target. From visual data feedback to operation, the little brother adopts .
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