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Shiny is a web framework for developing web applications (apps), originally in R and since 2022 in python. It is free and open source. [2] It was announced by Joe Cheng, CTO of Posit, formerly RStudio, in 2012. [3] One of the uses of Shiny has been in fast prototyping. [4] In 2022, a separate implementation Shiny for Python was announced. [5]
It describes the way a surface reflects light as a combination of the diffuse reflection of rough surfaces with the specular reflection of shiny surfaces. It is based on Bui Tuong Phong 's informal observation that shiny surfaces have small intense specular highlights , while dull surfaces have large highlights that fall off more gradually.
Place this template on an article or user page to create a gallery of images on that page along with captions. Anyone may place this template. Template parameters [Edit template data] Parameter Description Type Status title title Title for the overall gallery Example Pictures of chickens String suggested align align Alignment of the gallery on the page; possible values include left, right, and ...
The resulting image is larger than the original, and preserves all the original detail, but has (possibly undesirable) jaggedness. The diagonal lines of the "W", for example, now show the "stairway" shape characteristic of nearest-neighbor interpolation. Other scaling methods below are better at preserving smooth contours in the image.
The Phong reflection model was developed by Bui Tuong Phong at the University of Utah, who published it in his 1975 Ph.D. dissertation. [1] [2] It was published in conjunction with a method for interpolating the calculation for each individual pixel that is rasterized from a polygonal surface model; the interpolation technique is known as Phong shading, even when it is used with a reflection ...
Specular highlights on a pair of spheres. A specular highlight is the bright spot of light that appears on shiny objects when illuminated (for example, see image on right). ). Specular highlights are important in 3D computer graphics, as they provide a strong visual cue for the shape of an object and its location with respect to light sources in the
President Joe Biden, in his farewell address, reflected on a decadeslong political career but also issued a stark warning to the nation as he prepares to cede power to President-elect Donald Trump.
The ImageNet project is a large visual database designed for use in visual object recognition software research. More than 14 million [1] [2] images have been hand-annotated by the project to indicate what objects are pictured and in at least one million of the images, bounding boxes are also provided. [3]