From d277fae0b6f718fa0a270052ea5363e14bb7b3b3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=C3=81lvaro=20Barbero=20Jim=C3=A9nez?= Date: Thu, 23 Nov 2017 20:07:08 +0100 Subject: [PATCH] Solves #17 Removed feature to process multilayered images (not very useful and difficult to maintain) --- neuralstyle/imagemagick.py | 28 +++++++-------- tests/algorithms_tests.py | 52 ++++++++++++++++++++++------ tests/contents/dockersmallalpha.png | Bin 0 -> 10392 bytes tests/contents/marbles.tga | Bin 0 -> 4261301 bytes tests/contents/oldtelephone.psd | Bin 0 -> 577537 bytes tests/contents/tgasample.tga | Bin 0 -> 8759 bytes tests/imagemagick_tests.py | 11 ------ 7 files changed, 55 insertions(+), 36 deletions(-) create mode 100644 tests/contents/dockersmallalpha.png create mode 100644 tests/contents/marbles.tga create mode 100644 tests/contents/oldtelephone.psd create mode 100644 tests/contents/tgasample.tga diff --git a/neuralstyle/imagemagick.py b/neuralstyle/imagemagick.py index e250973..c90690f 100644 --- a/neuralstyle/imagemagick.py +++ b/neuralstyle/imagemagick.py @@ -1,28 +1,19 @@ # Convenience functions to perform Image Magicks from subprocess import run, PIPE from glob import glob -from tempfile import TemporaryDirectory from neuralstyle.utils import filename def convert(origin, dest): - """Transforms the format of an image in a file, by creating a new file with the new format - - If the input file has several layers, they are flattened. - """ - command = "convert " + origin + " -flatten " + dest - run(command, shell=True) + """Transforms the format of an image in a file, by creating a new file with the new format""" + if ismultilayer(origin): + raise ValueError("Cannot operate with multilayer images") + run("convert %s %s" % (origin, dest), shell=True) def shape(imfile): - """Returns the shape of an image file - - If the input file has several layers, it is flattened before computing the shape. - """ - tmpdir = TemporaryDirectory() - tmpname = tmpdir.name + "/" + "image.png" - convert(imfile, tmpname) - result = run("convert " + tmpname + ' -format "%w %h" info:', shell=True, check=True, stdout=PIPE) + """Returns the shape of an image file""" + result = run("convert " + imfile + ' -format "%w %h" info:', shell=True, check=True, stdout=PIPE) return [int(x) for x in result.stdout.decode("utf-8").split(" ")] @@ -90,6 +81,8 @@ def composite(imfiles, outname): def extractalpha(imfile, rgbfile, alphafile): """Decomposes an image file into the RGB channels and the alpha channel, saving both as separate image files""" + if ismultilayer(imfile): + raise ValueError("Cannot operate with multilayer images") # Alpha channel extraction command = "convert -alpha extract %s %s" % (imfile, alphafile) run(command, shell=True, check=True) @@ -119,3 +112,8 @@ def equalimages(imfile1, imfile2): if result.returncode == 2: raise IOError("Error while calling imagemagick compare method") return result.returncode == 0 + + +def ismultilayer(imfile): + """Returns whether an image file contains multiple layers""" + return len(shape(imfile)) > 2 diff --git a/tests/algorithms_tests.py b/tests/algorithms_tests.py index c3249c5..9ccb91f 100644 --- a/tests/algorithms_tests.py +++ b/tests/algorithms_tests.py @@ -11,6 +11,18 @@ STYLES = "/app/entrypoint/tests/styles/" +def assertalldifferent(pattern, expected=None): + """Asserts that all images that follow a given glob pattern have different contents + + An expected number of images can also be provided to be checked. + """ + files = glob(pattern) + if expected is not None: + assert len(files) == expected + for f1, f2 in zip(files, files[1:]): + assert not equalimages(f1, f2) + + def test_styletransfer_gatys(): """Style transfer works without error for the Gatys algorithm""" tmpdir = TemporaryDirectory() @@ -79,11 +91,7 @@ def test_styletransfer_ss(): tmpdir = TemporaryDirectory() styletransfer([CONTENTS + img], [STYLES + "cubism.jpg"], tmpdir.name, alg=alg, size=100, stylescales=stylescales) - files = glob(tmpdir.name + "/" + filename(img) + "*cubism*") - # Check correct number of generated images, and that they are different - assert len(files) == len(stylescales) - for f1, f2 in zip(files, files[1:]): - assert not equalimages(f1, f2) + assertalldifferent(tmpdir.name + "/" + filename(img) + "*cubism*", len(stylescales)) def test_styletransfer_sw(): @@ -94,11 +102,7 @@ def test_styletransfer_sw(): tmpdir = TemporaryDirectory() styletransfer([CONTENTS + img], [STYLES + "cubism.jpg"], tmpdir.name, alg=alg, size=100, weights=styleweights) - files = glob(tmpdir.name + "/" + filename(img) + "*cubism*") - # Check correct number of generated images, and that they are different - assert len(files) == len(styleweights) - for f1, f2 in zip(files, files[1:]): - assert not equalimages(f1, f2) + assertalldifferent(tmpdir.name + "/" + filename(img) + "*cubism*", len(styleweights)) def test_neuraltile(): @@ -124,3 +128,31 @@ def test_formatpsd(): tmpdir = TemporaryDirectory() styletransfer(contents, [STYLES + "cubism.jpg"], tmpdir.name, alg="chen-schmidt-inverse") assert len(glob(tmpdir.name + "/*cubism*")) == 1 + + +def test_alpha(): + """Transformation of images with an alpha channel preserve transparency""" + tmpdir = TemporaryDirectory() + # Transform image with alpha + styletransfer([CONTENTS + "dockersmallalpha.png"], [STYLES + "cubism.jpg"], tmpdir.name, alg="chen-schmidt-inverse") + assert len(glob(tmpdir.name + "/*dockersmallalpha_cubism*")) == 1 + # Transform image without alpha + styletransfer([CONTENTS + "dockersmall.png"], [STYLES + "cubism.jpg"], tmpdir.name, alg="chen-schmidt-inverse") + assert len(glob(tmpdir.name + "/*dockersmall_cubism*")) == 1 + # Check correct that generated image are different + assertalldifferent(tmpdir.name + "/*cubism*") + + +def test_alpha_tiling(): + """Transformation of images with an alpha channel preserve transparency, even when a tiling strategy is used""" + tmpdir = TemporaryDirectory() + # Transform image with alpha + styletransfer([CONTENTS + "dockersmallalpha.png"], [STYLES + "cubism.jpg"], tmpdir.name, alg="chen-schmidt-inverse", + maxtilesize=150) + assert len(glob(tmpdir.name + "/*dockersmallalpha_cubism*")) == 1 + # Transform image without alpha + styletransfer([CONTENTS + "dockersmall.png"], [STYLES + "cubism.jpg"], tmpdir.name, alg="chen-schmidt-inverse", + maxtilesize=150) + assert len(glob(tmpdir.name + "/*dockersmall_cubism*")) == 1 + # Check correct that generated image are different + assertalldifferent(tmpdir.name + "/*cubism*") diff --git a/tests/contents/dockersmallalpha.png b/tests/contents/dockersmallalpha.png new file mode 100644 index 0000000000000000000000000000000000000000..30eaeb4bb06c8ba3c427211787f5e0b91e7fa52e GIT binary patch literal 10392 zcmZ{~1yCGK^e?(B3oO3C;*!Ok;O-8=Ef65M6M{pqAdA}~Ay{yCcXtm2CpaX*CAjAD z{j2VK_3GVQGiSQGr>pz)%#rTjIguJ_3fLHA7ytkOTS-w?>!lodp(-%y%hT;jdikY5 zHGiWZ3;6fnmD5?A^wNUvtZ3i{0ALdQM@WG5Op=#IGKKzIJilH%xg;qur2U!_NB?ujnD%S^ 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