Magic cube color identification method based on artificial neural network
An artificial neural network and color recognition technology, applied in the field of Rubik's Cube color recognition based on artificial neural network, can solve the problems of color classification errors, unsuitable color classification and quantification, etc., achieve fast inference speed and improve the effect of color recognition module
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[0020] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0021] see Figure 1-2 As shown, a Rubik's Cube color recognition method based on artificial neural network includes the following steps:
[0022] A. Build an artificial neural network training model on the LINUX operating system.
[0023] B. Use the camera to collect pictures of the Rubik's Cube, that is, collect pictures of a single face of the Rubik's Cube in different environments and under different lighting conditions with different combinations of color blocks. Since the positions of the Rubik's Cube robot camera and the Rubik's Cube are relatively fixed, the general center of the collected pictures is one side of the Rubik's Cube, and the surrounding parts are affected by a ...
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