#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
***************************************************************************
generate_test_mask_image.py
---------------------
Date : February 2015
Copyright : (C) 2015 by Nyall Dawson
Email : nyall dot dawson at gmail dot com
***************************************************************************
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 2 of the License, or *
* (at your option) any later version. *
* *
***************************************************************************
"""
__author__ = 'Nyall Dawson'
__date__ = 'February 2015'
__copyright__ = '(C) 2015, Nyall Dawson'
# Generates (or updates) a unit test image mask, which is used to specify whether
# a pixel in the control image should be checked (black pixel in mask) or not (white
# pixel in mask). For non black or white pixels, the pixels lightness is used to
# specify a maximum delta for each color component
import os
import sys
import argparse
from PyQt5.QtGui import QImage, QColor, qRed, qBlue, qGreen, qAlpha, qRgb
import struct
import urllib.request
import urllib.error
import urllib.parse
import glob
def error(msg):
print(msg)
sys.exit(1)
def colorDiff(c1, c2):
redDiff = abs(qRed(c1) - qRed(c2))
greenDiff = abs(qGreen(c1) - qGreen(c2))
blueDiff = abs(qBlue(c1) - qBlue(c2))
alphaDiff = abs(qAlpha(c1) - qAlpha(c2))
return max(redDiff, greenDiff, blueDiff, alphaDiff)
def imageFromPath(path):
if (path[:7] == 'http://' or path[:7] == 'file://' or path[:8] == 'https://'):
# fetch remote image
data = urllib.request.urlopen(path).read()
image = QImage()
image.loadFromData(data)
else:
image = QImage(path)
return image
def getControlImagePath(path):
if os.path.isfile(path):
return path
# else try and find matching test image
script_folder = os.path.dirname(os.path.realpath(sys.argv[0]))
control_images_folder = os.path.join(script_folder, '../tests/testdata/control_images')
matching_control_images = [x[0] for x in os.walk(control_images_folder) if path in x[0]]
if len(matching_control_images) > 1:
error('Found multiple matching control images for {}'.format(path))
elif len(matching_control_images) == 0:
error('No matching control images found for {}'.format(path))
found_control_image_path = matching_control_images[0]
# check for a single matching expected image
images = glob.glob(os.path.join(found_control_image_path, '*.png'))
filtered_images = [i for i in images if not i[-9:] == '_mask.png']
if len(filtered_images) > 1:
error('Found multiple matching control images for {}'.format(path))
elif len(filtered_images) == 0:
error('No matching control images found for {}'.format(path))
found_image = filtered_images[0]
print('Found matching control image: {}'.format(found_image))
return found_image
def updateMask(control_image_path, rendered_image_path, mask_image_path):
control_image = imageFromPath(control_image_path)
if not control_image:
error('Could not read control image {}'.format(control_image_path))
rendered_image = imageFromPath(rendered_image_path)
if not rendered_image:
error('Could not read rendered image {}'.format(rendered_image_path))
if not rendered_image.width() == control_image.width() or not rendered_image.height() == control_image.height():
print(('Size mismatch - control image is {}x{}, rendered image is {}x{}'.format(control_image.width(),
control_image.height(),
rendered_image.width(),
rendered_image.height())))
max_width = min(rendered_image.width(), control_image.width())
max_height = min(rendered_image.height(), control_image.height())
# read current mask, if it exist
mask_image = imageFromPath(mask_image_path)
if mask_image.isNull():
print('Mask image does not exist, creating {}'.format(mask_image_path))
mask_image = QImage(control_image.width(), control_image.height(), QImage.Format_ARGB32)
mask_image.fill(QColor(0, 0, 0))
# loop through pixels in rendered image and compare
mismatch_count = 0
linebytes = max_width * 4
for y in range(max_height):
control_scanline = control_image.constScanLine(y).asstring(linebytes)
rendered_scanline = rendered_image.constScanLine(y).asstring(linebytes)
mask_scanline = mask_image.scanLine(y).asstring(linebytes)
for x in range(max_width):
currentTolerance = qRed(struct.unpack('I', mask_scanline[x * 4:x * 4 + 4])[0])
if currentTolerance == 255:
# ignore pixel
continue
expected_rgb = struct.unpack('I', control_scanline[x * 4:x * 4 + 4])[0]
rendered_rgb = struct.unpack('I', rendered_scanline[x * 4:x * 4 + 4])[0]
difference = colorDiff(expected_rgb, rendered_rgb)
if difference > currentTolerance:
# update mask image
mask_image.setPixel(x, y, qRgb(difference, difference, difference))
mismatch_count += 1
if mismatch_count:
# update mask
mask_image.save(mask_image_path, "png")
print('Updated {} pixels in {}'.format(mismatch_count, mask_image_path))
else:
print('No mismatches in {}'.format(mask_image_path))
parser = argparse.ArgumentParser() # OptionParser("usage: %prog control_image rendered_image mask_image")
parser.add_argument('control_image')
parser.add_argument('rendered_image')
parser.add_argument('mask_image', nargs='?', default=None)
args = parser.parse_args()
args.control_image = getControlImagePath(args.control_image)
if not args.mask_image:
args.mask_image = args.control_image[:-4] + '_mask.png'
updateMask(args.control_image, args.rendered_image, args.mask_image)