Hello. I have recently been spending a lot of time dithering. In image processing, dithering is the act of applying intentional perturbations or noise in order to compensate for the information lost during colour reduction, also known as quantisation. In particular, I’ve become very interested in a specific type of dithering and its application to colour palettes of arbitrary or irregular colour distributions. Before going into detail however, let’s briefly review the basics of image dithering.
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However, stylecloud was hacky and fragile, and a number of features I wanted to add such as non-90-degree word rotation, transparent backgrounds, and SVG output flat-out were not possible to add due to its dependency on Python’s wordcloud/matplotlib, and also the package was really slow. The only way to add the features I wanted was to build something from scratch: Rust fit the bill.
Thinking Step 2: 推理第一个人。如果他不想要，他会直接说“不”（因为只要有一个不要，全称命题为假）。他说“不知道”，说明他自己想要，但他不确定后面两个人想不想要。