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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

"MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation. (arXiv:2302.08113v1 [cs.CV])" — Controlling diffusion-based image generation so that you can specify image components, component placement etc. without any further fine-tuning.

Paper: http://arxiv.org/abs/2302.08113
Code: https://github.com/omerbt/MultiDiffusion

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
MultiDiffusion enables flexible…
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Fahim Farook

"\`A-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting. (arXiv:2302.07994v1 [cs.LG])" — Having multiple subsets of data trained on specific prompts and being able to compose the final model based on the prompts you select.

Paper: http://arxiv.org/abs/2302.07994

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
A-la-carte Learning and APT. Gi…
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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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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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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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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…
Prompt: “Raising Steam”. A dark…
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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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Fahim Farook

"AI Chat Assistants can Improve Conversations about Divisive Topics" — A study looking at how Large Language Models can improve conversations on divisive topics by making the participants feel understood.

Paper: https://arxiv.org/abs/2302.07268

#AI #NewPaper #DeepLearning #MachineLearning #Language #HumanComputerInteraction
Treated Conversation Flow: Resp…
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Fahim Farook

"CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context" — A tool that uses a reader’s publishing, reading, and saving history to provide personalised context to citations in papers that they’re reading.

Paper: https://arxiv.org/abs/2302.07302

#NewPaper #HumanComputerInteraction
CiteSee augments inline citatio…
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