Add the perceptual difference metric to the rebaseline server

* Finds the location of the skpdiff binary.
* Calculates the perceptual difference percentage using the skpdiff binary.
* Replaces the weightedDiffMeasure in view.html with perceptualDifferent.

BUG=skia:2019
NOTRY=true
R=epoger@google.com

Author: rmistry@google.com

Review URL: https://codereview.chromium.org/147453003

git-svn-id: http://skia.googlecode.com/svn/trunk@13398 2bbb7eff-a529-9590-31e7-b0007b416f81
This commit is contained in:
commit-bot@chromium.org 2014-02-11 12:33:58 +00:00
parent afe38b16f0
commit af34eb9b74
4 changed files with 51 additions and 8 deletions

View File

@ -10,10 +10,13 @@ Calulate differences between image pairs, and store them in a database.
"""
import contextlib
import csv
import logging
import os
import re
import shutil
import sys
import tempfile
import urllib
try:
from PIL import Image, ImageChops
@ -21,6 +24,15 @@ except ImportError:
raise ImportError('Requires PIL to be installed; see '
+ 'http://www.pythonware.com/products/pil/')
# Set the PYTHONPATH to include the tools directory.
sys.path.append(
os.path.join(
os.path.dirname(os.path.realpath(__file__)), os.pardir, os.pardir,
'tools'))
import find_run_binary
SKPDIFF_BINARY_NAME = 'skpdiff'
DEFAULT_IMAGE_SUFFIX = '.png'
DEFAULT_IMAGES_SUBDIR = 'images'
@ -99,6 +111,27 @@ class DiffRecord(object):
whitediff_image = (graydiff_image.point(lambda p: p > 0 and VALUES_PER_BAND)
.convert('1', dither=Image.NONE))
# Calculate the perceptual difference percentage.
skpdiff_csv_dir = tempfile.mkdtemp()
try:
skpdiff_csv_output = os.path.join(skpdiff_csv_dir, 'skpdiff-output.csv')
skpdiff_binary = find_run_binary.find_path_to_program(SKPDIFF_BINARY_NAME)
expected_img = os.path.join(storage_root, expected_images_subdir,
str(expected_image_locator) + image_suffix)
actual_img = os.path.join(storage_root, actual_images_subdir,
str(actual_image_locator) + image_suffix)
find_run_binary.run_command(
[skpdiff_binary, '-p', expected_img, actual_img,
'--csv', skpdiff_csv_output, '-d', 'perceptual'])
with contextlib.closing(open(skpdiff_csv_output)) as csv_file:
for row in csv.DictReader(csv_file):
perceptual_similarity = float(row[' perceptual'].strip())
# skpdiff returns the perceptual similarity, convert it to get the
# perceptual difference percentage.
self._perceptual_difference = 100 - (perceptual_similarity * 100)
finally:
shutil.rmtree(skpdiff_csv_dir)
# Final touches on diff_image: use whitediff_image as an alpha mask.
# Unchanged pixels are transparent; differing pixels are opaque.
diff_image.putalpha(whitediff_image)
@ -128,6 +161,10 @@ class DiffRecord(object):
return ((float(self._num_pixels_differing) * 100) /
(self._width * self._height))
def get_perceptual_difference(self):
"""Returns the perceptual difference percentage."""
return self._perceptual_difference
def get_weighted_diff_measure(self):
"""Returns a weighted measure of image diffs, as a float between 0 and 100
(inclusive)."""

View File

@ -19,7 +19,8 @@ import unittest
import imagediffdb
IMG_URL_BASE = 'http://chromium-skia-gm.commondatastorage.googleapis.com/gm/bitmap-64bitMD5/'
IMG_URL_BASE = ('http://chromium-skia-gm.commondatastorage.googleapis.com/gm/'
'bitmap-64bitMD5/')
class ImageDiffDbTest(unittest.TestCase):
@ -56,21 +57,22 @@ class ImageDiffDbTest(unittest.TestCase):
# 3. actual image URL
# 4. expected percent_pixels_differing (as a string, to 4 decimal places)
# 5. expected weighted_diff_measure (as a string, to 4 decimal places)
# 6. expected max_diff_per_channel
# 6. expected perceptual difference (as a string, to 4 decimal places)
# 7. expected max_diff_per_channel
selftests = [
[
'arcofzorro/16206093933823793653',
IMG_URL_BASE + 'arcofzorro/16206093933823793653.png',
'arcofzorro/13786535001616823825',
IMG_URL_BASE + 'arcofzorro/13786535001616823825.png',
'0.0662', '0.0113', [255, 255, 247],
'0.0662', '0.0113', '0.0662', [255, 255, 247],
],
[
'gradients_degenerate_2pt/10552995703607727960',
IMG_URL_BASE + 'gradients_degenerate_2pt/10552995703607727960.png',
'gradients_degenerate_2pt/11198253335583713230',
IMG_URL_BASE + 'gradients_degenerate_2pt/11198253335583713230.png',
'100.0000', '66.6667', [255, 0, 255],
'100.0000', '66.6667', '100.0000', [255, 0, 255],
],
]
@ -88,7 +90,8 @@ class ImageDiffDbTest(unittest.TestCase):
self.assertEqual('%.4f' % record.get_percent_pixels_differing(),
selftest[4])
self.assertEqual('%.4f' % record.get_weighted_diff_measure(), selftest[5])
self.assertEqual(record.get_max_diff_per_channel(), selftest[6])
self.assertEqual('%.4f' % record.get_perceptual_difference(), selftest[6])
self.assertEqual(record.get_max_diff_per_channel(), selftest[7])
def main():

View File

@ -432,6 +432,7 @@ class Results(object):
results_for_this_test['numDifferingPixels'] = 0
results_for_this_test['percentDifferingPixels'] = 0
results_for_this_test['weightedDiffMeasure'] = 0
results_for_this_test['perceptualDifference'] = 0
results_for_this_test['maxDiffPerChannel'] = 0
else:
try:
@ -444,6 +445,8 @@ class Results(object):
diff_record.get_percent_pixels_differing())
results_for_this_test['weightedDiffMeasure'] = (
diff_record.get_weighted_diff_measure())
results_for_this_test['perceptualDifference'] = (
diff_record.get_perceptual_difference())
results_for_this_test['maxDiffPerChannel'] = (
diff_record.get_max_diff_per_channel())
except KeyError:

View File

@ -263,7 +263,7 @@
value="weightedDiffMeasure"
ng-checked="(sortColumn == 'weightedDiffMeasure')"
ng-click="sortResultsBy('weightedDiffMeasure')">
difference per pixel
perceptual difference
<br>
<input type="range" ng-model="pixelDiffBgColorBrightness"
ng-init="pixelDiffBgColorBrightness=64; pixelDiffBgColor=brightnessStringToHexColor(pixelDiffBgColorBrightness)"
@ -378,9 +378,9 @@
<!-- diffs: per-channel RGB deltas -->
<td valign="bottom" width="{{imageSize}}">
<div ng-hide="result.expectedHashDigest == result.actualHashDigest"
title="Weighted difference measure is {{result.weightedDiffMeasure.toFixed(4)}}%. Maximum difference per channel: R={{result.maxDiffPerChannel[0]}}, G={{result.maxDiffPerChannel[1]}}, B={{result.maxDiffPerChannel[2]}}">
title="Perceptual difference measure is {{result.perceptualDifference.toFixed(4)}}%. Maximum difference per channel: R={{result.maxDiffPerChannel[0]}}, G={{result.maxDiffPerChannel[1]}}, B={{result.maxDiffPerChannel[2]}}">
{{result.weightedDiffMeasure.toFixed(4)}}%
{{result.perceptualDifference.toFixed(4)}}%
{{result.maxDiffPerChannel}}
<br/>
<a href="/static/generated-images/diffs/{{result.expectedHashDigest}}-vs-{{result.actualHashDigest}}.png" target="_blank">View Image</a><br/>