data:image/png;base64,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pl:eksportuj kostium _
§_costumesMenupl:ustaw nazwę kostiumu _ na _
§_costumesMenuthingtakes a snapshot with the webcam and reports it as a new costume, or zero if the user cancelspt:$camera a imagem actual do vídeo
pl:$camera zdjęcie
pl:eksportuj listę kostiumu _ nazwa _
framepl:_ w skali szarości
§_costumesMenupl:filtr _ na _ kanał alfa _
blurblur
sharpen
outline
emboss
edge={
left
right
top
bottom
}
Gausscurrent§_costumesMenutruetruepl:filtr _
blurblur
sharpen
outline
emboss
edge={
left
right
top
bottom
}
Gaussoutlineembossleftrighttopbottomgauss0.06250.1250.06250.1250.250.1250.06250.1250.0625blurmake a rectangle costume with the given color, width and height. The color can be either specified by the color picker from the input slot, or it can be a list of r-g-b-a values.pl:prostokątny kostium _ szerokość: _ wysokość: _
2060clr_channel(clr, rgba)rgba11125511411pl:jądro _ _ _ _ _ _ _ _ _ _ _ _
pl:przemnóż macierz _ * jądro _
reshape the kernel to match the input matrix's channels, if anyfor every padded pixel create a partial copy of the input, item-multiply it with the kernel and take its overall sum (∑)pl:rozciągnij _ o _
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IsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==