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Deep focus is a photographic and cinematographic technique using a large depth of field. Depth of field is the front-to-back range of focus in an image, or how much of it appears sharp and clear. In deep focus, the foreground, middle ground, and background are all in focus. Deep focus is normally achieved by choosing a small aperture.
Deep Cross Gaming (DCG) was founded on 20 January 2022; it acquired a spot in the Pacific Championship Series a week later on 27 January. [1] [2] [3] The team's inaugural roster consisted of three former J Team players – jungler Chen "Hana" Chih-hao, mid laner Hsu "Nestea" Bao-yuan, and support Lin "Woody" Hung-yu – as well as top laner Chang "Leaky" Tsu-chia, who had then most recently ...
Ping time is an average time measured in milliseconds (ms). [ citation needed ] The lower one's ping is, the lower the latency is and the less lag the player will experience. High ping and low ping are commonly used terms in online gaming, where high ping refers to a ping that causes a severe amount of lag; while any level of ping may cause lag ...
In addition to its unique depth of field properties, the Frazier lens is significantly smaller than previous deep focus lenses allowing more versatility and flexibility to cinematographers. The main feature of the lens, an extended tube with a rotating prism , allows cinematographers to place the camera in a variety of positions for a given shot.
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Counter Logic Gaming was founded to compete in League of Legends tournaments by George "HotshotGG" Georgallidis and Alexander "Vodoo" Beutel in April 2010. [1] In December 2011, Counter Logic Gaming merged with the Absolute Legends organization.
Park Jae-hyuk (Korean: 박재혁; born December 29, 1998), better known as Ruler, is a South Korean professional League of Legends player for Gen.G.Throughout his career, he has won one League of Legends Champions Korea (LCK) title, two League of Legends Pro League (LPL) titles, one Mid-Season Invitational (MSI) title, and one World Championship title.
The library is designed to reduce computing power and memory use and to train large distributed models with better parallelism on existing computer hardware. [2] [3] DeepSpeed is optimized for low latency, high throughput training.