#GIMP GRADIENT MAGNITUDE MOVIE#
#GIMP GRADIENT MAGNITUDE CODE#

Even the window to create a new project doesn't look the same between my version and what's in the tutorial, some options don't even seem to exist anymore wtf where is this button? Why doesn't it work?'. Coding to repair the map might be more costly than just blindly recalculating.As a beginner I really want to like Affinity, I even bought Photo and Designer, but it's just so hard to find tutorials with the same UI! For every single tutorial I follow I'm like 'ok click here, click here and. Depending on where a seam was removed, you may only be left with less than 1/3 of the energy map unchanged. Optimize your loops so areas that need bounds checking are handled separately.Īttempting to preserve unchanged portions of the energy map may be more costly than actually fully recalculating it. Minimize the times when you need to do bounds-checking. Saves one extra step for edge detection.ģ. Resize the grayscale of the image along with everything else. You can get away with only calculating it every so often and still get good results.Ģ. Don't recalculate the edge detection image every time. Some things that can be done to increase speed:ġ. I don't have exact times for determining each individual seam removal, however scaling an image down from 1024圆78 to 800圆00 takes about 15 seconds. I've been working on this in C++ with some pthread multi-threading goodness. Unfortunetly, a really fast implimention needs a different language.

#GIMP GRADIENT MAGNITUDE CODE#

As I wrote this as a quick hack, I didn't include code to show which paths were removed from the original image. This took 273 seconds on my system, as the complexity is something like O(150*N*N*N*N*N*N*M) where M is the complexity of the gradient magnitude calculation.ĭo notice there are significant changes between this image and the one posted above. Replace the working image with the image generated in the previous step.Create an image which is the working image, minus this best path.For every pixel in the top row, calculate the cost of the 'best path' starting at this pixel.Calculate energy and cost of current working picture.I should be studying mathematical analysis now, 2nd time I got to redo this exam, bloody university :-( The algorithm itself is surprisingly 'simple' and easy to understand, great job by the researchers! More on that later. You can see another sample (image resized from 1000 to 250px in 8 seconds) here. As you can see the implementation still needs lots of love. For most calculations I use the Python Imaging Library and SciPy/NumPy, which are mainly C modules and much faster). This transformation is done in about 2 seconds (mainly because of some calculations in pure Python. Resized using Gimp, cubic interpolation, 150px If it would ever become 'production quality' a Gimp and/or GEGL plugin would be nice. I read the corresponding paper, and wrote an implementation (not finished/perfect at all, but well) in Python.

#GIMP GRADIENT MAGNITUDE MOVIE#

Most people most likely saw the YouTube movie on content-aware image resizing which got blogged quite a lot lately. Seam Carving: Content-aware image resizing

Gimp gradient magnitude