#Guiffy software software#
#Guiffy software code#

it will ALWAYS be slower than any compiled tool. you can't get away from it, unfortunately.Īs you're attempting to do something in an interpreted language which is executed, not as a compiled executable, but via an engine that is literally reading the script line by line. Even if you take two screenshots of the EXACT same component on the EXACT same screen in the EXACT same version of the software, there will STILL be slight differences in pixels due to just the way things are rendered via the graphics processor of a machine. So, no matter what you do, either with something you write custom, or if you use some other available utility, you'll run into the same pitfalls you mentioned of false postives, false negatives, etc., due to those VERY subtle differences in bitmap renderings that are always the case with any digital image. so, much like Region.Compare, you'll still need to 'tweak' the settings in order to find that sweet spot.

#Guiffy software software#

File Name:guf96ins.exe Author: Guiffy Software License:Shareware (59.00) File Size:8. Guiffy supports over 150 text file encoding formats such as Unicode-8 or 16, SJIS, etc. Available on Windows, MacOS, Linux, Unix, and any Java-enabled platform. However, what you'll find with all of these is that every one of them has similar stuff about setting image threshholds, tolerance, color depth, etc. Guiffy is a visual file compare diff tool, folder compare, and merge tool. Quick google search found an image diff tool by Perforce, there's a commandline utility by Image Magick, guiffy software has an Image Diff Tool. The compare method is much much faster and must be doing something similar to what I am trying to do so it seems this should be possible.ĭo you have any suggestions on alternative tools or other methods that are not 'this nested loop deal'? This method results in many false positives or if tolerance is set it too high it ends up missing actual problems. The current compare method doesn't give me enough flexibility other than just ignoring a specific number pixel differences. So, while your need as stated is that you want to compare images, I wonder if there is a better way of conducting the test that avoids image comparison all together that would achieve more accurate results and a better feedback as to the state of the wrote:

#Guiffy software code#

You are taking a picture and comparing it to another picture and using that to determine whether or not intricate code is being executed properly.

as well as it generally being imprecise all around. you've already noted the problems of tweaking tolerance and the pitfalls there. But doing region or image comparisons for most desktop or web based applications when an object comparison or object property comparison will do. There are times when it is necessary, especially if you are doing ACTUAL image processing and need to make sure that an image after being processed is correct (like for medical imaging, etc). I find image comparisons to be generally a bad testing methodology for most situations anyways.