3073ee90b7
* almost there * smol changes * getting close now segv on the test suite, annoyingly * argh still not quite thert * phew
256 lines
9.2 KiB
Python
256 lines
9.2 KiB
Python
# vim: set fileencoding=utf-8 :
|
|
import pytest
|
|
|
|
import pyvips
|
|
from helpers import JPEG_FILE, OME_FILE, HEIC_FILE, TIF_FILE, all_formats, \
|
|
have, RGBA_FILE, RGBA_CORRECT_FILE, AVIF_FILE
|
|
|
|
|
|
# Run a function expecting a complex image on a two-band image
|
|
def run_cmplx(fn, image):
|
|
if image.format == pyvips.BandFormat.FLOAT:
|
|
new_format = pyvips.BandFormat.COMPLEX
|
|
elif image.format == pyvips.BandFormat.DOUBLE:
|
|
new_format = pyvips.BandFormat.DPCOMPLEX
|
|
else:
|
|
raise pyvips.Error("run_cmplx: not float or double")
|
|
|
|
# tag as complex, run, revert tagging
|
|
cmplx = image.copy(bands=1, format=new_format)
|
|
cmplx_result = fn(cmplx)
|
|
|
|
return cmplx_result.copy(bands=2, format=image.format)
|
|
|
|
|
|
def to_polar(image):
|
|
"""Transform image coordinates to polar.
|
|
|
|
The image is transformed so that it is wrapped around a point in the
|
|
centre. Vertical straight lines become circles or segments of circles,
|
|
horizontal straight lines become radial spokes.
|
|
"""
|
|
# xy image, zero in the centre, scaled to fit image to a circle
|
|
xy = pyvips.Image.xyz(image.width, image.height)
|
|
xy -= [image.width / 2.0, image.height / 2.0]
|
|
scale = min(image.width, image.height) / float(image.width)
|
|
xy *= 2.0 / scale
|
|
|
|
# to polar, scale vertical axis to 360 degrees
|
|
index = run_cmplx(lambda x: x.polar(), xy)
|
|
index *= [1, image.height / 360.0]
|
|
|
|
return image.mapim(index)
|
|
|
|
|
|
def to_rectangular(image):
|
|
"""Transform image coordinates to rectangular.
|
|
|
|
The image is transformed so that it is unwrapped from a point in the
|
|
centre. Circles or segments of circles become vertical straight lines,
|
|
radial lines become horizontal lines.
|
|
"""
|
|
# xy image, vertical scaled to 360 degrees
|
|
xy = pyvips.Image.xyz(image.width, image.height)
|
|
xy *= [1, 360.0 / image.height]
|
|
|
|
# to rect, scale to image rect
|
|
index = run_cmplx(lambda x: x.rect(), xy)
|
|
scale = min(image.width, image.height) / float(image.width)
|
|
index *= scale / 2.0
|
|
index += [image.width / 2.0, image.height / 2.0]
|
|
|
|
return image.mapim(index)
|
|
|
|
|
|
class TestResample:
|
|
def test_affine(self):
|
|
im = pyvips.Image.new_from_file(JPEG_FILE)
|
|
|
|
# vsqbs is non-interpolatory, don't test this way
|
|
for name in ["nearest", "bicubic", "bilinear", "nohalo", "lbb"]:
|
|
x = im
|
|
interpolate = pyvips.Interpolate.new(name)
|
|
for i in range(4):
|
|
x = x.affine([0, 1, 1, 0], interpolate=interpolate)
|
|
|
|
assert (x - im).abs().max() == 0
|
|
|
|
def test_reduce(self):
|
|
im = pyvips.Image.new_from_file(JPEG_FILE)
|
|
# cast down to 0-127, the smallest range, so we aren't messed up by
|
|
# clipping
|
|
im = im.cast(pyvips.BandFormat.CHAR)
|
|
|
|
for fac in [1, 1.1, 1.5, 1.999]:
|
|
for fmt in all_formats:
|
|
for kernel in ["nearest", "linear",
|
|
"cubic", "lanczos2", "lanczos3"]:
|
|
x = im.cast(fmt)
|
|
r = x.reduce(fac, fac, kernel=kernel)
|
|
d = abs(r.avg() - im.avg())
|
|
assert d < 2
|
|
|
|
# try constant images ... should not change the constant
|
|
for const in [0, 1, 2, 254, 255]:
|
|
im = (pyvips.Image.black(10, 10) + const).cast("uchar")
|
|
for kernel in ["nearest", "linear",
|
|
"cubic", "lanczos2", "lanczos3"]:
|
|
# print "testing kernel =", kernel
|
|
# print "testing const =", const
|
|
shr = im.reduce(2, 2, kernel=kernel)
|
|
d = abs(shr.avg() - im.avg())
|
|
assert d == 0
|
|
|
|
def test_resize(self):
|
|
im = pyvips.Image.new_from_file(JPEG_FILE)
|
|
im2 = im.resize(0.25)
|
|
# in py3, round() does not round to nearest in the obvious way, so we
|
|
# have to do it by hand
|
|
assert im2.width == int(im.width / 4.0 + 0.5)
|
|
assert im2.height == int(im.height / 4.0 + 0.5)
|
|
|
|
# test geometry rounding corner case
|
|
im = pyvips.Image.black(100, 1)
|
|
x = im.resize(0.5)
|
|
assert x.width == 50
|
|
assert x.height == 1
|
|
|
|
def test_shrink(self):
|
|
im = pyvips.Image.new_from_file(JPEG_FILE)
|
|
im2 = im.shrink(4, 4)
|
|
# in py3, round() does not round to nearest in the obvious way, so we
|
|
# have to do it by hand
|
|
assert im2.width == int(im.width / 4.0 + 0.5)
|
|
assert im2.height == int(im.height / 4.0 + 0.5)
|
|
assert abs(im.avg() - im2.avg()) < 1
|
|
|
|
im2 = im.shrink(2.5, 2.5)
|
|
assert im2.width == int(im.width / 2.5 + 0.5)
|
|
assert im2.height == int(im.height / 2.5 + 0.5)
|
|
assert abs(im.avg() - im2.avg()) < 1
|
|
|
|
@pytest.mark.skipif(not pyvips.at_least_libvips(8, 5),
|
|
reason="requires libvips >= 8.5")
|
|
def test_thumbnail(self):
|
|
im = pyvips.Image.thumbnail(JPEG_FILE, 100)
|
|
|
|
assert im.height == 100
|
|
assert im.bands == 3
|
|
assert im.bands == 3
|
|
|
|
# the average shouldn't move too much
|
|
im_orig = pyvips.Image.new_from_file(JPEG_FILE)
|
|
assert abs(im_orig.avg() - im.avg()) < 1
|
|
|
|
# make sure we always get the right width
|
|
for height in range(440, 1, -13):
|
|
im = pyvips.Image.thumbnail(JPEG_FILE, height)
|
|
assert im.height == height
|
|
|
|
# should fit one of width or height
|
|
im = pyvips.Image.thumbnail(JPEG_FILE, 100, height=300)
|
|
assert im.width == 100
|
|
assert im.height != 300
|
|
im = pyvips.Image.thumbnail(JPEG_FILE, 300, height=100)
|
|
assert im.width != 300
|
|
assert im.height == 100
|
|
|
|
# with @crop, should fit both width and height
|
|
im = pyvips.Image.thumbnail(JPEG_FILE, 100,
|
|
height=300, crop=True)
|
|
assert im.width == 100
|
|
assert im.height == 300
|
|
|
|
im1 = pyvips.Image.thumbnail(JPEG_FILE, 100)
|
|
with open(JPEG_FILE, 'rb') as f:
|
|
buf = f.read()
|
|
im2 = pyvips.Image.thumbnail_buffer(buf, 100)
|
|
assert abs(im1.avg() - im2.avg()) < 1
|
|
|
|
# should be able to thumbnail many-page tiff
|
|
im = pyvips.Image.thumbnail(OME_FILE, 100)
|
|
assert im.width == 100
|
|
assert im.height == 38
|
|
|
|
# should be able to thumbnail individual pages from many-page tiff
|
|
im1 = pyvips.Image.thumbnail(OME_FILE + "[page=0]", 100)
|
|
assert im1.width == 100
|
|
assert im1.height == 38
|
|
im2 = pyvips.Image.thumbnail(OME_FILE + "[page=1]", 100)
|
|
assert im2.width == 100
|
|
assert im2.height == 38
|
|
assert (im1 - im2).abs().max() != 0
|
|
|
|
# should be able to thumbnail entire many-page tiff as a toilet-roll
|
|
# image
|
|
im = pyvips.Image.thumbnail(OME_FILE + "[n=-1]", 100)
|
|
assert im.width == 100
|
|
assert im.height == 570
|
|
|
|
# should be able to thumbnail a single-page tiff in a buffer
|
|
im1 = pyvips.Image.thumbnail(TIF_FILE, 100)
|
|
with open(TIF_FILE, 'rb') as f:
|
|
buf = f.read()
|
|
im2 = pyvips.Image.thumbnail_buffer(buf, 100)
|
|
assert abs(im1.avg() - im2.avg()) < 1
|
|
|
|
# linear shrink should work on rgba images
|
|
im1 = pyvips.Image.thumbnail(RGBA_FILE, 64, linear=True)
|
|
im2 = pyvips.Image.new_from_file(RGBA_CORRECT_FILE)
|
|
assert abs(im1.flatten(background=255).avg() - im2.avg()) < 1
|
|
|
|
if have("heifload"):
|
|
# this image is orientation 6 ... thumbnail should flip it
|
|
im = pyvips.Image.new_from_file(AVIF_FILE)
|
|
thumb = pyvips.Image.thumbnail(AVIF_FILE, 100)
|
|
|
|
# thumb should be portrait
|
|
assert thumb.width < thumb.height
|
|
assert thumb.height == 100
|
|
|
|
def test_similarity(self):
|
|
im = pyvips.Image.new_from_file(JPEG_FILE)
|
|
im2 = im.similarity(angle=90)
|
|
im3 = im.affine([0, -1, 1, 0])
|
|
# rounding in calculating the affine transform from the angle stops
|
|
# this being exactly true
|
|
assert (im2 - im3).abs().max() < 50
|
|
|
|
def test_similarity_scale(self):
|
|
im = pyvips.Image.new_from_file(JPEG_FILE)
|
|
im2 = im.similarity(scale=2)
|
|
im3 = im.affine([2, 0, 0, 2])
|
|
assert (im2 - im3).abs().max() == 0
|
|
|
|
# added in 8.7
|
|
def test_rotate(self):
|
|
if have("rotate"):
|
|
im = pyvips.Image.new_from_file(JPEG_FILE)
|
|
im2 = im.rotate(90)
|
|
im3 = im.affine([0, -1, 1, 0])
|
|
# rounding in calculating the affine transform from the angle stops
|
|
# this being exactly true
|
|
assert (im2 - im3).abs().max() < 50
|
|
|
|
def test_mapim(self):
|
|
im = pyvips.Image.new_from_file(JPEG_FILE)
|
|
|
|
p = to_polar(im)
|
|
r = to_rectangular(p)
|
|
|
|
# the left edge (which is squashed to the origin) will be badly
|
|
# distorted, but the rest should not be too bad
|
|
a = r.crop(50, 0, im.width - 50, im.height).gaussblur(2)
|
|
b = im.crop(50, 0, im.width - 50, im.height).gaussblur(2)
|
|
assert (a - b).abs().max() < 50
|
|
|
|
# this was a bug at one point, strangely, if executed with debug
|
|
# enabled
|
|
mp = pyvips.Image.xyz(im.width, im.height)
|
|
interp = pyvips.Interpolate.new('bicubic')
|
|
assert im.mapim(mp, interpolate=interp).avg() == im.avg()
|
|
|
|
|
|
if __name__ == '__main__':
|
|
pytest.main()
|