ARW to JPEG conversion script - you can ignore the bilatreral filter part and args, you wont need them

[littlerob84]

from PIL import Image, ImageDraw
from easygui import *
import os
import rawpy
import sys
import cv2

# get the desktop path of computer
# desktopPath = os.path.join(os.environ["HOMEPATH"], "Desktop")
pixelLogRootFolder = "C:\\Users\\littl\\Desktop\\OHW Testing Folder\\1cm Test Data\\Blurred Test Folder"
os.chdir(pixelLogRootFolder)

# Photo file picker GUI
PhotoName = fileopenbox(msg="Choose the Image ARW file", title=None)
PhotoNameStripped = PhotoName.rsplit('\\', 1)[-1]

#PhotoName = "C:\\OHW Testing Folder\\1cm Test Data\\Working On Folder\\DSC00829.ARW"
#PhotoNameStripped = PhotoName.rsplit('\\', 1)[-1]

raw = rawpy.imread(PhotoName)
rawRgbnpArrayPreFilter = raw.postprocess(use_camera_wb=True, output_bps=8)

# Apply Blur
# Bilateral filter arg - source, diameter, sigmaColour, sigmaSpace
# sigmaColor – A larger value means that farther colors within the pixel neighborhood will be mixed together
# resulting in larger areas of semi-equal color.
# sigmaSpace – A larger value of the parameter means that farther pixels will influence each other as long as their colors are close enough (see sigmaColor).
# When diameter>0, it specifies the neighborhood size regardless of sigmaSpace. Otherwise, d is proportional to sigmaSpace .
diameter = 0  # 0
sigCol = 25  # 75
sigSpace = 1  # 1

rawRgbnpArray = cv2.bilateralFilter(rawRgbnpArrayPreFilter, diameter, sigCol, sigSpace)

# Save blurred image for testing
blurredimage = Image.fromarray(rawRgbnpArray)
blurredimage.save('AA Blurred - ' + str(diameter) + ", " + str(sigCol) + ", " + str(sigSpace) + ", " + str(PhotoNameStripped) + '.jpg', quality=100, optimize=False)

[NicoMandel]

Looks good, I'll integrate this ASAP

[NicoMandel]

included into code with f70008a