Мощный удар Израиля по Ирану попал на видео09:41
Instead of perturbing each pixel in the input image at random, we can choose to dither by a predetermined amount depending on the pixel’s position in the image. This can be achieved using a threshold map; a small, fixed-size matrix where each entry tells us the amount by which to perturb the input value , producing the dithered value . This matrix is tiled across the input image and sampled for every pixel during the dithering process. The following describes a dithering function for a 4×4 matrix given the pixel raster coordinates :
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宝马集团宣布将在德国莱比锡工厂部署人形机器人，这是其首次在欧洲生产体系中引入此类具身智能技术。该项目旨在将类人机器人技术整合进现有的汽车批量生产中，并探索电池和零部件生产的进一步应用。
At some point I realized the scope was too large. I had spent the most time with msdfgen and hadn’t yet learned enough about the other libraries to write a proper guide. They all worked differently. I kept getting stuck. So I reduced the scope. In redesign 2 I decided to only use msdfgen, but show the various tradeoffs involved (atlas size, antialias width, shader derivatives, smoothing function).