AI design generation
The N-closest or N-best dithering algorithm is a straightforward solution to the N-candidate problem. As the name suggests, the set of candidates is given by the closest palette colours to the input pixel. To determine their weights, we simply take the inverse of the distance to the input pixel. This is essentially the inverse distance weighting (IDW) method for multivariate interpolation, also known as Shepard’s method. The following pseudocode sketches out a possible implementation:
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但机器人产业真正的核心价值，并不在租赁差价，而在算法能力、场景落地能力与系统整合能力。长期利润，往往集中在技术壁垒与规模壁垒环节，而不是末端流通环节。