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SNAFU is an acronym that is widely used to stand for the sarcastic expression Situation normal: all fucked up. It is a well-known example of military acronym slang. It is sometimes censored to "all fouled up" or similar. [1] It means that the situation is bad, but that this is a normal state of affairs.
SNAFU is widely used to stand for the sarcastic expression Situation Normal: All Fucked Up, as a well-known example of military acronym slang. However, the military acronym originally stood for "Status Nominal: All Fucked Up." It is sometimes bowdlerized to all fouled up or similar. [4]
balls-up (vulgar, though possibly not in origin) error, mistake, SNAFU. See also cock-up. (US: fuck up, screw up, mess up) BAME refers to people who are not white; acronym of "black, Asian, and minority ethnic" [18] [19] (US: BIPOC) bank holiday a statutory holiday when banks and most businesses are closed [20] (national holiday; state holiday ...
The number of bits per pixel, sample, or texel in a bitmap image (holding one or more image channels, typical values being 4, 8, 16, 24, 32) Bitmap Image stored by pixels. Bit plane A format for bitmap images storing 1 bit per pixel in a contiguous 2D array; Several such parallel arrays combine to produce the a higher-bit-depth image. Opposite ...
PDF's emphasis on preserving the visual appearance of documents across different software and hardware platforms poses challenges to the conversion of PDF documents to other file formats and the targeted extraction of information, such as text, images, tables, bibliographic information, and document metadata. Numerous tools and source code ...
Just 1 hour into being brought back on to help rescue the floundering Trump/Vance campaign, Corey Lewandowski has already stepped on a rake tweeting a couch reference😭💀 https://t.co ...
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Text-to-Image personalization is a task in deep learning for computer graphics that augments pre-trained text-to-image generative models. In this task, a generative model that was trained on large-scale data (usually a foundation model ), is adapted such that it can generate images of novel, user-provided concepts.