Instead of taking the nearest candidates to , we can look for a set of candidates whose centroid is close to . The N-convex algorithm works by finding the closest colour to a given target colour for iterations, where the target is first initialised to be equal to the input pixel. Every iteration the closest colour added to the candidate list, and the quantisation error between it and the original input pixel is added to the target.
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User-Crawler: run()
他曾经带领团队做过实验，在秘鲁合法注册一家小型服装厂，结果需要耗费289天，花费1231美元，相当于当时人最低月薪的31倍。对于一个想开小作坊的穷人来说，这几乎是一堵不可逾越的墙。