ultimatepp/uppsrc/CtrlCore/srcdoc.tpp/Resolution_en-us.tpp
2026-05-03 15:40:29 +02:00

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topic "Reacting to resolution";
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[{_}%EN-US
[s2; Reacting to actual resolution, UHD support&]
[s0; While all widgets coordinates are always in pixels, applications
need to react actual settings of target GUI to scale things accordingly.&]
[s0; &]
[s0; In U`+`+, the basic scaling factor is always determined by standard
font size, which is read from host platform (scaling factor can
also be adjusted by application, but that is less relevant here).&]
[s0; &]
[s0; All layouts are designed in some artificial defined, relatively
small, `'basic font`' font size, then scaled based on ratios
of standard system font to this basic font. Also, it is possible
to scale individual dimensions by Ctrl`::`[Horz`|Vert`]LayoutZoom
or [^topic`:`/`/CtrlCore`/src`/Zooming`$en`-us^ Zx/Zy/Zsz] functions.&]
[s0; &]
[s0; This, when used appropriately, works well for host GUI font
size between 12`-22. When GUI font gets bigger, there starts
to be a problem with Images (e.g. button icons) being too small.
This is typical for QHD or UHD displays.&]
[s0; &]
[s0; To resolve this problem, upscaled Images need to be provided
in this case. This is not a problem for Images that are created
by code (because they can easily incorporate scaling factor into
the algorithm), but would be a problem for images from .iml resources.&]
[s0; &]
[s0; To this means, iml Image has target resolution attribute. This
info can be adjusted in Icon designed (right click Image name
and choose Image..., or double`-click Image name)&]
[s0; &]
[s0;=
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)
&]
[s0; &]
[s0; U`+`+ tries to pick icon with exact scale first, then tries
highest resolution icon and downscales it. Recommended approach
is to provide 600% master source. The advantage is that this
scale does not need to be drawn with antiliasing, it is oversampled
enough to give good results after downscaling.&]
[s0; &]
[s0; In addition to Zx/Zy/Zsz functions, U`+`+ also provides set
of [^topic`:`/`/Draw`/src`/UHD`$en`-us^ DPI functions] which simply
scale arguments by currect fafactor `- this is sometimes better
approach for scaling things that are related to images.&]
[s0; &]
[s0; Last but not least, some host platforms (Windows) need to be
specifically informed that the application is able to handle
UHD, otherwise they enter into mode when application is rendered
in standard resolution and upscaled by windows (which looks quite
terrible). Normally, U`+`+ is in this `"HiDPI`" mode by default.
You can revert to ugly upscaling mode by calling Ctrl`::SetUHDEnabled(false)
in INITIBLOCK.]]