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Re: How fast was your vision processing?
Our team used a raspberry pi running OpenCV and stored the data on the pi, accessing it through a TCP port. This enabled the vision tracking to update its info at its maximum speed, which was practically real-time , and allowed the rio to only access the data when necessary, making the only cap on our tracking speed our algorithm in the rio to adjust the aim of the robot, which was never fully developed so it was very slow.
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