StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
https://doi.org/10.1109/TVCG.2020.3030352
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readme.md
font-measure 
Calculate metrics for a font.
let measure = requrie('font-measure')
measure('Roboto')
/*
{
top: 0,
median: 0.640625,
middle: 0.640625,
bottom: 1.3125,
alphabetic: 1.03125,
baseline: 1.03125,
upper: 0.328125,
lower: 0.515625,
capHeight: 0.703125,
xHeight: 0.515625
ascent: 0.28125,
descent: 1.234375,
hanging: 0.203125,
ideographic: 1.296875,
lineHeight: 1.3125,
overshoot: 0.015625,
tittle: 0.28125,
}
*/
API
let metrics = measure(family, options?)
Get metrics data for a font family or CSS font string, possibly with custom options. Font can be a string or an array with fonts.
metrics
:
options
:
Property | Default | Meaning |
---|---|---|
origin |
top |
Origin for metrics. Can be changed to baseline or any other metric. |
fontSize |
64 |
Font-size to use for calculations. Larger size gives higher precision with slower performance. |
fontWeight |
normal |
Font weight to use for calculations, eg. bold , 700 etc. |
fontStyle |
normal |
Font style to use for calculations, eg. italic , oblique . |
canvas |
measure.canvas |
Canvas to use for measurements. |
tittle |
i |
Character to detect tittle. null disables calculation. |
descent |
p |
Character to detect descent line. null disables calculation. |
ascent |
h |
Character to detect ascent line. null disables calculation. |
overshoot |
O |
Character to detect overshoot. null disables calculation. |
upper |
H |
Character to detect upper line / cap-height. null disables calculation. |
lower |
x |
Character to detect lower line / x-height. null disables calculation. |
See also
- optical-properties − calculate image/character optical center and bounding box.
- detect-kerning − calculate kerning pairs for a font.
Related
There are many text / font measuring packages for the moment, but most of them don't satisfy basic quality requirements. Special thanks to @soulwire for fontmetrics as model implementation.
License
© 2018 Dima Yv. MIT License
Development supported by plot.ly.