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I am using this tutorial for instance segmentation in PyTorch. The test data the tutorial uses includes images and accompanying image masks from a dataset available here. I have an example of one of the image masks from that data set here (example data for this question). That mask looks like this by default in the dataset:

The tutorial uses this code:

I am trying to render a chart but encounter a problem: The elements appear in browsers (Chrome, Firefox) but not in traditional image viewers (Eyes of GNOME, GIMP, Inkscape).

Code

At first, I thought that it was because image viewers are incapable of rendering fonts, until I came across an asciinema's thumbnail, which is displayed perfectly by Eyes of GNOME:

Question: Why does this happen and how to fix this?

I wrote some code for a Linux system to read/write bitmap files.

I transfered this code to Windows, and attempted to compile it with Visual Studio 2019.

I tested my program by opening a bitmap file and saving a copy of it. I found that only the first few lines of the bitmap image were written to file and the rest of the file was blank. (Black image color.)

I was extremely confused by this so wrote an even simpler program which just dumps out the integer values of bytes in the file.

I ran this on a 32 x 32 bitmap image file, where the file was saved from GIMP, with 24 bits per pixel format (R8 G8 B8), and "Do not write colorspace information" set in compatiablity options.

I found that the below code prints data up to about i = 500, and then it prints zeros for the rest of the file.

The file looks like this:

It clearly does not contain large regions of zeros.

My question is how exactly alpha addition works?

Like when you add 0.5 and 0.5 alpha you don't get 1.0 alpha, you get ~0.75 alpha.
(This works regardless of language or even program, it works like this in e.g. gimp too)

So what are the two alpha values that exactly give 1.0 alpha?

I've implemented the stackblur algorithm (by Mario Klingemann) in Rust, and rewrote the horizontal pass to use iterators rather than indexing. However, the blur needs to be run twice to achieve full strength, comparing against GIMP. Doubling the radius introduces halo-ing.

I would like to show/hide a grid on a tkinter canvas, as seen in Gimp for instance.

I have this code:

I am trying to get the second last value in each row of a data frame, meaning the first job a person has had. (Job1_latest is the most recent job and people had a different number of jobs in the past and I want to get the first one). I managed to get the last value per row with the code below:

first_job <- function(x) tail(x[!is.na(x)], 1)

first_job <- apply(data, 1, first_job)

I'm installing a remote network of spherical/360-degree cameras and need to have the images they produce all aligned with something (north). The problem is, the cameras might end up being mounted facing any random direction, so I need to shift/offset (horizontally) the image, and wrap whatever ends up outside the bounds of the image to the other side.

After taking a sample image after installation of each camera, I will know the correct pixel value to offset the image and will be able to specify the offset value on a per-camera basis.

The first half of this article explains how to do this in Photoshop (Filter menu > Other > Offset, specify an offset pixel value, and then enable the "wrap around" option). Photoshop offsets the image by the defined number of pixels, and any excess is automatically moved to the other side of the image to fill in the gap created by shifting the image.

I just need to automate the offsetting of the image and wrap the excess around to the other side of the image so that no part of the image is actually lost, in a Linux (Raspbian) environment, via the command line. I am not able to use a GUI to do this as we're talking about millions of images in the long-term.

I tried doing this with Imagemagick's geometry offset tool (convert -geometry +0+100 R0011996.JPG), but a) I couldn't figure out how to actually use it, and b) there doesn't seem to be an option like the "wrap around" option in Photoshop.

I just realised The GIMP has an equivalent tool and a command-line interface and tried that, but couldn't find any decent documentation. I found the Procedure Browser, which said to use "gimp-drawable-offset". I tried the following, but it failed:

I'm trying to use python-fu in GIMP. I would like pdb.file_glob to return an array of image files in the format I specify. I tried: