I have tens of thousands of photos I’ve taken over the years.
I think some of these photos are pretty good, but most are languishing unseen on random hard drives.
To share them, I’ve been a member of Flickr, I’ve posted on the late lamented Twitter, and I post some onto Mastodon. I’ve also created numerous gallery applications/server scripts/web sites (e.g., Statgal), but they’ve generally been clumsy or take too much work to maintain. So I’ve been working on a dumb PHP/JavaScript slideshow thing that will scan directories, cache the details, etc.
Here’s introducing PhotoSpinner. It’s a quick’n’dirty script to provide photos. It’s very simple and allows me to publish categories of pictures without a lot of effort. Source code’s at Codeberg.
When designing visual stuff, I often would like the ability to create a patterned frame for whatever it is I’m doing. It’s not so much work to drag and move image tiles around to make a nice frame, but I wanted to make it easier.
Thus “Borderline” was born. It’s a JavaScript tool for laying out tiles into frame designs, with a few automated features to make playing around easier.
Click to enlarge
Borderline lets you arrange small SVG files to form a border. It optionally does some rotational and mirroring transforms to make the pattern look nice.
It includes a small collection of custom, original SVG tiles to use for making nice borders. You can also “upload” your own! (since this all takes place in your browser, nothing actually gets uploaded to a server or leaves your local machine).
Once you’re happy with your design, you can export the entire border as an SVG suitable for printing or modification in your favorite vector graphics application.
You should be able to use just about any SVG file as a tile, although if it’s too big or complicated your browser may run out of memory and behave badly.
*This is actually on Rocky Linux / CENTOS / RHEL, but will likely work on others.
Logwatch can be a nice tool for keeping an eye on your servers. It goes through your logs and creates a nightly aggregate email containing information to keep you apprised of various important details. It can be good to bring things to the attention of lazy / overwhelmed sysadmins like me.
Where it fails, though, is where it overwhelms you with useless information. There are different output level settings, and if you turn the detail levels down far enough, it helps a lot. However, with certain configs and certain OSes, you still get overwhelmed with non-actionable information. Here’s how to fix a few of those.
Crontabs. In Rocky Linux, cron logs a success message that contains a process number, which means the default log is filled with lots and lots of lines like session-685197.scope: Succeeded.: 1 Time(s) which logwatch happily throws into the nightly email. Most searches tell you to edit your /etc/logwatch/conf/ignore.conf file and add the following line:
session-.*scope: Succeeded
This doesn’t work for me. Further research indicates that the ignore.conf file wants a Perl-style regular expression. The recommendation above is sort-of-Perlish, but what ended up working correctly for me was putting the following line in my ignore.conf:
\s*session-(.*?)\.scope: Succeeded\.(.*)
HTTP. For some reason, someone thought having a long list of hostile IP addresses would be helpful. Maybe to manually block them? Seems like a hopeless task. Check out /usr/share/logwatch/scripts/services/http around line 596… and un-comment out the conditional.
$flag = 1;
foreach my $i (sort keys %ban_ip) {
if ($flag) {
print "\nA total of ".scalar(keys %ban_ip)." sites probed the server \n";
$flag = 0;
}
#if ($detail > 4) {
print " $i\n";
#}
}
sshd. I know there are a lot of hackers, script kiddies, and bots out there. I don’t need to see the long list of people who tried and failed to log in with ssh. Unfortunately, the detail level setting for sshd aren’t very helpful. I ended up editing /usr/share/logwatch/scripts/services/sshd and liberally sprinkling my own if ($Detail > 4) { … } barriers starting around line 500. Hacky, I know. Also will be clobbered with the next logwatch update. Yuck.
Maybe it’s time for me to submit a bunch of pull requests.
We’ve been watching many episodes of Pete Beard’s YouTube channel on the unsung heroes of illustration. Beard does a nice job of giving you the life details of these people, along with showing you representative samples of their work.
For a period that lasted roughly 150 years, a talented illustrator could become rich and famous. The increasing general literacy rates and growth of leisure time created an expanding market for books in the late 18th century. There were also technological breakthroughs in printing, which made adding illustrations to books more affordable, and publishers found that the illustrated books sold better. And while the concept of periodical magazines goes back to the 17th century, it was in the later part of the 19th century that illustrated magazines exploded in popularity.
Magazines were the YouTube or Twitter of their day, the place where culture was discussed and developed, and where art movements gained their momentum. They commissioned illustrations for their covers and their content, and once an illustrator had a reputation, they could make a good living. Once an artist was well known, they became sought for advertising and poster work. Some did merch, too.
It’s fascinating to see the enormous quantity and quality of work. As someone who has dabbled in art, it’s a little overwhelming. You can view a lot of the work online. Beard’s channel is a good introduction, but then you can go down the rabbit hole and look at scans of Jugend magazine, the outstanding Illustration History site from the Norman Rockwell Museum, commercial sites like Granger, and so on. More than you can possibly absorb is just a web search away.
The growth of photography and techniques for photographic printing changed the equation in the 1950s. Illustration took a back seat, with many localized renaissances like 60s music posters and 80s ‘zine culture.
Today, another revolution is happening. Over the past year, “Artificial Intelligence” art has gone from being a fairly obscure discipline to the point where it is producing stunning results. I’ve been playing with Stable Diffusion, and the results are both impressive, unsettling, and fascinating. This system works on a mathematical model that was fed a huge volume of images and text from the internet. Given a text prompt or general directing image, it uses that model to creates a set of mathematically weighted values representing how it “understands” your request. It then uses random noise and repeated filters to create an image that satisfies those mathematical weights.
The creation of the initial model is extremely computationally expensive and involved. The creation of images using that model, however, is something that can be done on any reasonably modern home computer.
I requested an etching of a lion in front of a castleI requested a National Geographic cover of a lion in front of a castleI requested Karl Marx setting fire to a cottage in the style of Edward Hopper
There’s debate about “who creates the art,” when using a system like this. After all, it only “knows” the art it was fed in the initial model creation. So, in that sense, it can’t create anything “new” — and yet, the way it combines things is at a low enough level that there isn’t any reproduction of any of the original work. That being said, it’s still biased by the work it was trained on. It “understands” beauty and ugliness based on the descriptions of the images it was created with. This bakes in a lot of other subtle prejudices: ranging from abstract ideas like what constitutes futuristic, to more fraught ideas like what traits define racial terms. It’s telling that the initial release of the software put a “not safe for work” filter in place, because such a high percentage of the images of women in the initial model were nude.
People are already using this software to generate printed images and even movies. There’s definitely an art to creating the source prompts to get the results you want, but this is getting easier and easier. I think it will be a matter of weeks or months before the clip-art business is just a front-end to this kind of software. It will be fascinating to see where this ends up.
