培养你的判断力。但不要让这种审美的精细，阻止你继续创作新的作品。
Due to this more measured approach, error-diffusion dithering is even better at preserving details and can produce a more organic looking final image. However, the algorithm itself is inherently serial and not easily parallelised. Additionally, the propagation of error can cause small discrepancies in one part of the image to cascade into other distant areas. This is very obvious during animation, where pixels will appear to jitter between frames. It also makes files harder to compress.
。同城约会对此有专业解读
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I'm publishing this to start a conversation. What did I get right? What did I miss? Are there use cases that don't fit this model? What would a migration path for this approach look like? The goal is to gather feedback from developers who've felt the pain of Web streams and have opinions about what a better API should look like.