Ask Your Question

Revision history [back]

click to hide/show revision 1
initial version

no, there isn't.

that's a numpy "slice" (look it up, please). no memory gets copied, both "halves" reference the original image's pixels, so that's as fast as it ever can be.

there is a faster function or faster processing way to cut the image ?

no, there isn't.

that's a numpy "slice" (look it up, please).

no memory gets copied, both "halves" reference the original image's pixels, so that's as fast as it ever can be.