mapnik/tests/python_tests/compositing_test.py
Blake Thompson 5d9f047002 Fixed some issues in color and bindings where you could create a color and premultiplied was not set and it was resulting in it being assigned randomly, causing some issues at runtime.
Updated some images in visual tests that were orginally set prior to all tiffs being premultiplied, this was causing a slight difference in a few pixels.

Updated the tiff tests a lot.

Fixed tiff reader so that it always considers everything read from RGB or RGBA as premultiplied. This is due to the fact that RGBA reader always premultiplies the alpha no matter its original form.

Put in a fix so that the file does not exist no longer shows up in the test running.

Fixed some failing tests in the c++ test due to tiffs now always being premultiplied for RGB(A)
2015-01-24 20:48:15 -06:00

258 lines
11 KiB
Python

#encoding: utf8
from nose.tools import *
import os,sys
from utilities import execution_path, run_all, Todo
from utilities import get_unique_colors, pixel2channels, side_by_side_image
import mapnik
def setup():
# All of the paths used are relative, if we run the tests
# from another directory we need to chdir()
os.chdir(execution_path('.'))
def is_pre(color,alpha):
return (color*255.0/alpha) <= 255
def debug_image(image,step=2):
for x in range(0,image.width(),step):
for y in range(0,image.height(),step):
pixel = image.get_pixel(x,y)
red,green,blue,alpha = pixel2channels(pixel)
print "rgba(%s,%s,%s,%s) at %s,%s" % (red,green,blue,alpha,x,y)
def replace_style(m, name, style):
m.remove_style(name)
m.append_style(name, style)
# note: it is impossible to know for all pixel colors
# we can only detect likely cases of non premultiplied colors
def validate_pixels_are_not_premultiplied(image):
over_alpha = False
transparent = True
fully_opaque = True
for x in range(0,image.width(),2):
for y in range(0,image.height(),2):
pixel = image.get_pixel(x,y)
red,green,blue,alpha = pixel2channels(pixel)
if alpha > 0:
transparent = False
if alpha < 255:
fully_opaque = False
color_max = max(red,green,blue)
if color_max > alpha:
over_alpha = True
return over_alpha or transparent or fully_opaque
def validate_pixels_are_not_premultiplied2(image):
looks_not_multiplied = False
for x in range(0,image.width(),2):
for y in range(0,image.height(),2):
pixel = image.get_pixel(x,y)
red,green,blue,alpha = pixel2channels(pixel)
#each value of the color channels will never be bigger than that of the alpha channel.
if alpha > 0:
if red > 0 and red > alpha:
print 'red: %s, a: %s' % (red,alpha)
looks_not_multiplied = True
return looks_not_multiplied
def validate_pixels_are_premultiplied(image):
bad_pixels = []
for x in range(0,image.width(),2):
for y in range(0,image.height(),2):
pixel = image.get_pixel(x,y)
red,green,blue,alpha = pixel2channels(pixel)
if alpha > 0:
pixel = image.get_pixel(x,y)
is_valid = ((0 <= red <= alpha) and is_pre(red,alpha)) \
and ((0 <= green <= alpha) and is_pre(green,alpha)) \
and ((0 <= blue <= alpha) and is_pre(blue,alpha)) \
and (alpha >= 0 and alpha <= 255)
if not is_valid:
bad_pixels.append("rgba(%s,%s,%s,%s) at %s,%s" % (red,green,blue,alpha,x,y))
num_bad = len(bad_pixels)
return (num_bad == 0,bad_pixels)
def test_compare_images():
b = mapnik.Image.open('./images/support/b.png')
b.premultiply()
num_ops = len(mapnik.CompositeOp.names)
successes = []
fails = []
for name in mapnik.CompositeOp.names:
a = mapnik.Image.open('./images/support/a.png')
a.premultiply()
a.composite(b,getattr(mapnik.CompositeOp,name))
actual = '/tmp/mapnik-comp-op-test-' + name + '.png'
expected = 'images/composited/' + name + '.png'
valid = validate_pixels_are_premultiplied(a)
if not valid[0]:
fails.append('%s not validly premultiplied!:\n\t %s pixels (%s)' % (name,len(valid[1]),valid[1][0]))
a.demultiply()
if not validate_pixels_are_not_premultiplied(a):
fails.append('%s not validly demultiplied' % (name))
a.save(actual,'png32')
if not os.path.exists(expected) or os.environ.get('UPDATE'):
print 'generating expected test image: %s' % expected
a.save(expected,'png32')
expected_im = mapnik.Image.open(expected)
# compare them
if a.tostring('png32') == expected_im.tostring('png32'):
successes.append(name)
else:
fails.append('failed comparing actual (%s) and expected(%s)' % (actual,'tests/python_tests/'+ expected))
fail_im = side_by_side_image(expected_im, a)
fail_im.save('/tmp/mapnik-comp-op-test-' + name + '.fail.png','png32')
eq_(len(successes),num_ops,'\n'+'\n'.join(fails))
b.demultiply()
# b will be slightly modified by pre and then de multiplication rounding errors
# TODO - write test to ensure the image is 99% the same.
#expected_b = mapnik.Image.open('./images/support/b.png')
#b.save('/tmp/mapnik-comp-op-test-original-mask.png')
#eq_(b.tostring('png32'),expected_b.tostring('png32'), '/tmp/mapnik-comp-op-test-original-mask.png is no longer equivalent to original mask: ./images/support/b.png')
def test_pre_multiply_status():
b = mapnik.Image.open('./images/support/b.png')
# not premultiplied yet, should appear that way
result = validate_pixels_are_not_premultiplied(b)
eq_(result,True)
# not yet premultiplied therefore should return false
result = validate_pixels_are_premultiplied(b)
eq_(result[0],False)
# now actually premultiply the pixels
b.premultiply()
# now checking if premultiplied should succeed
result = validate_pixels_are_premultiplied(b)
eq_(result[0],True)
# should now not appear to look not premultiplied
result = validate_pixels_are_not_premultiplied(b)
eq_(result,False)
# now actually demultiply the pixels
b.demultiply()
# should now appear demultiplied
result = validate_pixels_are_not_premultiplied(b)
eq_(result,True)
def test_pre_multiply_status_of_map1():
m = mapnik.Map(256,256)
im = mapnik.Image(m.width,m.height)
eq_(validate_pixels_are_not_premultiplied(im),True)
mapnik.render(m,im)
eq_(validate_pixels_are_not_premultiplied(im),True)
def test_pre_multiply_status_of_map2():
m = mapnik.Map(256,256)
m.background = mapnik.Color(1,1,1,255)
im = mapnik.Image(m.width,m.height)
eq_(validate_pixels_are_not_premultiplied(im),True)
mapnik.render(m,im)
eq_(validate_pixels_are_not_premultiplied(im),True)
if 'shape' in mapnik.DatasourceCache.plugin_names():
def test_style_level_comp_op():
m = mapnik.Map(256, 256)
mapnik.load_map(m, '../data/good_maps/style_level_comp_op.xml')
m.zoom_all()
successes = []
fails = []
for name in mapnik.CompositeOp.names:
# find_style returns a copy of the style object
style_markers = m.find_style("markers")
style_markers.comp_op = getattr(mapnik.CompositeOp, name)
# replace the original style with the modified one
replace_style(m, "markers", style_markers)
im = mapnik.Image(m.width, m.height)
mapnik.render(m, im)
actual = '/tmp/mapnik-style-comp-op-' + name + '.png'
expected = 'images/style-comp-op/' + name + '.png'
im.save(actual,'png32')
if not os.path.exists(expected) or os.environ.get('UPDATE'):
print 'generating expected test image: %s' % expected
im.save(expected,'png32')
expected_im = mapnik.Image.open(expected)
# compare them
if im.tostring('png32') == expected_im.tostring('png32'):
successes.append(name)
else:
fails.append('failed comparing actual (%s) and expected(%s)' % (actual,'tests/python_tests/'+ expected))
fail_im = side_by_side_image(expected_im, im)
fail_im.save('/tmp/mapnik-style-comp-op-' + name + '.fail.png','png32')
eq_(len(fails), 0, '\n'+'\n'.join(fails))
def test_style_level_opacity():
m = mapnik.Map(512,512)
mapnik.load_map(m,'../data/good_maps/style_level_opacity_and_blur.xml')
m.zoom_all()
im = mapnik.Image(512,512)
mapnik.render(m,im)
actual = '/tmp/mapnik-style-level-opacity.png'
expected = 'images/support/mapnik-style-level-opacity.png'
im.save(actual,'png32')
expected_im = mapnik.Image.open(expected)
eq_(im.tostring('png32'),expected_im.tostring('png32'), 'failed comparing actual (%s) and expected (%s)' % (actual,'tests/python_tests/'+ expected))
def test_rounding_and_color_expectations():
m = mapnik.Map(1,1)
m.background = mapnik.Color('rgba(255,255,255,.4999999)')
im = mapnik.Image(m.width,m.height)
mapnik.render(m,im)
eq_(get_unique_colors(im),['rgba(255,255,255,127)'])
m = mapnik.Map(1,1)
m.background = mapnik.Color('rgba(255,255,255,.5)')
im = mapnik.Image(m.width,m.height)
mapnik.render(m,im)
eq_(get_unique_colors(im),['rgba(255,255,255,128)'])
im_file = mapnik.Image.open('../data/images/stripes_pattern.png')
eq_(get_unique_colors(im_file),['rgba(0,0,0,0)', 'rgba(74,74,74,255)'])
# should have no effect
im_file.premultiply()
eq_(get_unique_colors(im_file),['rgba(0,0,0,0)', 'rgba(74,74,74,255)'])
im_file.set_alpha(.5)
# should have effect now that image has transparency
im_file.premultiply()
eq_(get_unique_colors(im_file),['rgba(0,0,0,0)', 'rgba(37,37,37,127)'])
# should restore to original nonpremultiplied colors
im_file.demultiply()
eq_(get_unique_colors(im_file),['rgba(0,0,0,0)', 'rgba(74,74,74,127)'])
def test_background_image_and_background_color():
m = mapnik.Map(8,8)
m.background = mapnik.Color('rgba(255,255,255,.5)')
m.background_image = '../data/images/stripes_pattern.png'
im = mapnik.Image(m.width,m.height)
mapnik.render(m,im)
eq_(get_unique_colors(im),['rgba(255,255,255,128)', 'rgba(74,74,74,255)'])
def test_background_image_with_alpha_and_background_color():
m = mapnik.Map(10,10)
m.background = mapnik.Color('rgba(255,255,255,.5)')
m.background_image = '../data/images/yellow_half_trans.png'
im = mapnik.Image(m.width,m.height)
mapnik.render(m,im)
eq_(get_unique_colors(im),['rgba(255,255,85,191)'])
def test_background_image_with_alpha_and_background_color_against_composited_control():
m = mapnik.Map(10,10)
m.background = mapnik.Color('rgba(255,255,255,.5)')
m.background_image = '../data/images/yellow_half_trans.png'
im = mapnik.Image(m.width,m.height)
mapnik.render(m,im)
# create and composite the expected result
im1 = mapnik.Image(10,10)
im1.background(mapnik.Color('rgba(255,255,255,.5)'))
im1.premultiply()
im2 = mapnik.Image(10,10)
im2.background(mapnik.Color('rgba(255,255,0,.5)'))
im2.premultiply()
im1.composite(im2)
im1.demultiply()
# compare image rendered (compositing in `agg_renderer<T>::setup`)
# vs image composited via python bindings
#raise Todo("looks like we need to investigate PNG color rounding when saving")
#eq_(get_unique_colors(im),get_unique_colors(im1))
if __name__ == "__main__":
setup()
exit(run_all(eval(x) for x in dir() if x.startswith("test_")))