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.
print(f"Completed! Processed {len(self.seen_urls)} pages")
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以下内容来自姚哲口述，经品牌棱镜编辑：，详情可参考WPS下载最新地址
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