cursor[classno] = h;
Another way to approach dithering is to analyse the input image in order to make informed decisions about how best to perturb pixel values prior to quantisation. Error-diffusion dithering does this by sequentially taking the quantisation error for the current pixel (the difference between the input value and the quantised value) and distributing it to surrounding pixels in variable proportions according to a diffusion kernel . The result is that input pixel values are perturbed just enough to compensate for the error introduced by previous pixels.
，更多细节参见下载安装 谷歌浏览器 开启极速安全的 上网之旅。
考虑到数据分布差异、模型架构差异，以及代理能力的获得本身对于强化学习的重度依赖，蒸馏从来不是「拿来就用」那么简单。，这一点在同城约会中也有详细论述
Konstantin Vinogradov ex General Partner, Runa Capital