Tensorfont is a library to help those performing numerical analysis of font data, particular with reference to letterfitting and spacing.
Here is an example session:
>>> from tensorfont import Font
>>> f = Font("../atospace/kern-dump/normal/MrsEavesOT-Bold.otf")
>>> f.m_width
828.0
>>> f.baseline_ratio
0.28835063437139563
>>> f.pair_distance("A","V")
-149
>>> f.pair_kerning("A","V")
-73
>>> f.glyph("G").lsb
71
>>> m = f.glyph("G").as_matrix()
.with_sidebearings()
.crop_descender()
.scale_to_height(50)
>>> m.left_contour()
array([25, 22, 20, 18, 16, 15, 14, 13, 12, 11, 10, 10, 9, 9, 8, 8, 7,
7, 7, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 7, 7,
7, 7, 8, 8, 9, 10, 10, 11, 12, 13, 13, 15, 16, 17, 19, 21])
>>> plt.imgshow(m) ; plt.show()
# The letter "G" is shown
Full documentation is available at https://simoncozens.github.io/tensorfont/index.html
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Release files for tensorfont 0.2.0
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