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