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I'm a bit of an eclectic mess 🙂 I've been a programmer, journalist, editor, TV producer, and a few other things.

I'm currently working on my second novel which is complete, but is in the edit stage. I wrote my first novel over 20 years ago but then didn't write much till now.

I post about #Coding, #Flutter, #Writing, #Movies and #TV. I'll also talk about #Technology, #Gadgets, #MachineLearning, #DeepLearning and a few other things as the fancy strikes ...

Lived in: 🇱🇰🇸🇦🇺🇸🇳🇿🇸🇬🇲🇾🇦🇪🇫🇷🇪🇸🇵🇹🇶🇦🇨🇦

Fahim Farook

"PRedItOR: Text Guided Image Editing with Diffusion Prior. (arXiv:2302.07979v1 [cs.CV])" — Structure preserving, text guided image editing using diffusion models without needing a base prompt, fine-tuning of models etc.

Paper: http://arxiv.org/abs/2302.07979

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Examples of text guided image e…
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@memetzgz If I wanted to read all of them, yes 😛 But I just skim through the summaries to find the ones that look interesting … At the moment, I’ve found 5 interesting papers and have whittled down the 93 to 39 remaining papers …
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Jill Hamilton (inactive)

Edited 1 year ago

I saw this little guy yesterday and I can't stop thinking about him. So round. So pink.

(It's an Australian pink robin and the photos are not mine.)

Credits:
1. © Deepak Karra http://instagram.com/ravi_arora/
2. © Ravi Arora http://instagram.com/ravi_arora/
3. © Ambika Angela Bone http://instagram.com/ambikangela/
4. © Tim J. Hopwood http://flickr.com/photos/timjhopwood/

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Fahim Farook

A total of 93 papers in the cs.CV category on arXiv.org today — 61 new, 32 updated going in to the weekend …

So yesterday’s low paper count was definitely not a slowdown 😛

#AI #CV #NewPapers #DeepLearning #MachineLearning
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Fahim Farook

Updated Akkoma on our server to the latest. New graphs, yay!! Hopefully, nothing broke though since I’m always scared of stuff breaking once I’ve updated since I’m always in a rush …
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I ended up testing our new Neural Telephoto feature by shooting with iPhone SE for a while. I loved the shots I got out of it w/ native RAW and the extra reach of the virtual 2×.

Death Valley / Owens Valley, California
iPhone SE, 1× / 2× (Neural Telephoto), @halide RAW

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I was quietly minding my own business taking photos of Bullfinches (small/far away) in a tree when this Robin came and perched right in front of my camera and demanded to have his picture taken. How could I refuse?

🤣

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La passiflore grande et belle fleur

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The single-digit temperatures and a bit of sunshine created an ethereal ground fog this morning.

📆 Feb 16, 2023
📷 1/1600 s at f/11, ISO 180, 170mm

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The Adam optimizer is at the heart of modern AI. Researchers have been trying to dethrone Adam for years.

How about we ask a machine to do a better job? @googleai uses evolution to discover a simpler & efficient algorithm with remarkable features.

It’s just 8 lines of code: 🧵

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@ajyoung On Apple Silicon, the initial model load times are way longer for SPLIT_EINSUM compiled models than it is for ORIGINAL models. The EINSUM ones sometimes take about 2 minutes to load while the ORIGINAL ones load in about 10 -20 seconds at most.

Of course, some of this also depends on how you have the model loading, but once loaded, the initial image takes about 2 seconds longer to generate but then subsequent images at 10 - 20 steps are very fast. But if you go over 20 steps on the DPM-Solver++, it takes much longer. I think I had one on 50 steps which never completed and after about 3 - 5 minutes I just cancelled it …

So there are a bunch of factors at play and also depends on how you load the models. I find the Swift apps the easiest since you just load the model and then don’t unload the model till you quit the app 🙂
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quick thread, retweets of which would be most welcome. just got off the line with a recent CS/math grad and Ukrainian woman who just got laid off seven months after starting her career in tech. she's on her own here and supporting her family there.

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Redoing the after moving server.

I'm Elias (he/him)

I run a small regenerative farm called Viriditas in (Entenc el català, hablo castillano).

I'm interested in regenerative agriculture, self organisation, federated food security , , .

Especially looking for other regenerative farmers producing in dry climates to discuss best practices.

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@simonemargio 😛 I’m sorry you had to go through that … I really wish that certain things were better designed instead of just kind of put together as we go along …
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@simonemargio Yeah, that’s what it sounds like … What language/platform were you using?
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Fahim Farook

I don’t know if this is the same on other platforms/languages but #Apple #Swift support for image metadata retrieval seems to be rather pitiful 😛 I tried multiple different suggested approaches and lirbaries and all I get are around 4 - 5 meta data items for a particular image.

I use exiftool (https://exiftool.org/) and I get around 20+ metadata items for the same file.

So I resorted to this exiftool wrapper — https://github.com/hlemai/ExifTool It is supposed to be using the exiftool libraries but even that got only 18 items and it left out the one item I was actually interested in 😛

So I finally ended up writing some custom code which would run exiftool locally as a task, get the output of the command and then parse the output to get the metadata. That finally worked for me…

But should I have to go through all these hoops to get image metadata when using Swift? I would have thought there was a simpler/easier solution?

Does anyone know of one?

I’m almost tempted to write my own solution in Swift where I read the image raw data, parse the header and get the metadata. But do I really want to? Probably not …

#Apple #Swift #Images #Metadata #Coding
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Fahim Farook

Yesterday's Pratchett novel title prompt was: "Raising Steam".

Here's the thing about the prompt — I generated images on macOS initially and I was happy with the images I was getting since I was getting strange stuff. Nothing really to do with the prompt possibly, but all sorts of weird and wonderful landscapes 🙂

Then I switched to Windows for generation and suddenly all I'd get were trains or some sort of steam engine. Not a lot of variety ... No matter how many models I tried 😛

I've selected a mixed set from both sides for fair representation but I feel as if this needs more exploration ...

#AIArt #StableDiffusion #DeepLearning #MachineLearning #CV #AI #DiscWorld
Prompt: “Raising Steam”. A dark…
Prompt: “Raising Steam”. Some s…
Prompt: “Raising Steam”. A stra…
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Fahim Farook

And that’s a wrap, folks 🙂 5 papers in the cs.CV category and 4 outside boosted today based on new papers on arXiv.org.

See you tomorrow for the end of the week!

#AI #CV #NewPapers #DeepLearning #MachineLearning
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Fahim Farook

"Forward Pass: On the Security Implications of Email Forwarding Mechanism and Policy" — How email forwarding can create security vulnerabilities and and allow spoofing.

Paper: https://arxiv.org/abs/2302.07287

#AI #NewPaper #Security
Example message with a FROM hea…
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