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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: 🇱🇰🇸🇦🇺🇸🇳🇿🇸🇬🇲🇾🇦🇪🇫🇷🇪🇸🇵🇹🇶🇦🇨🇦
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sogrady@mastodon.social

steve o'grady

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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8bitpal@regenerate.social

Elias

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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Krisss@mastodon.nl

Kris

Gazebo by the Lake
By Lois Mounts

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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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Fahim Farook

"Augmenting Pathologists with NaviPath: Design and Evaluation of a Human-AI Collaborative Navigation System" — Using the navigation strategies of human pathologists to use their domain knowledge to enhance machine learning systems to navigate hight-resolution tumor images to search for patterns of interest.

Paper: https://arxiv.org/abs/2302.07309

#AI #NewPaper #DeepLearning #MachineLearning #HumanComputerInteraction
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Fahim Farook

"Stitchable Neural Networks. (arXiv:2302.06586v2 [cs.LG] UPDATED)" — A way to combine different pretrained models to combine models of varying complexity and performance.

Paper: http://arxiv.org/abs/2302.06586

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
Compared with previous scalable…
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Fahim Farook

"Learning When to Say "I Don't Know". (arXiv:2209.04944v2 [cs.CV] UPDATED)" — A method to teach learning systems when they don't know something, or at least to identify areas of uncertainty. Perhaps this should be tried with ChatGPT and Bing to mitigate all the gaslighting? 😛

Paper: http://arxiv.org/abs/2209.04944
Code: https://github.com/osu-cvl/learning-idk

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
t-SNE plots of logits from a we…
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Fahim Farook

"SoK: Anti-Facial Recognition Technology. (arXiv:2112.04558v2 [cs.CR] UPDATED)" — An analysis of the currently available Anti-Facial Recognition (AFR) research and the pros and cons of the different approaches.

Paper: http://arxiv.org/abs/2112.04558

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
The workflow of how facial reco…
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Fahim Farook

"Team Triple-Check at Factify 2: Parameter-Efficient Large Foundation Models with Feature Representations for Multi-Modal Fact Verification. (arXiv:2302.07740v1 [cs.CL])" — Verifying facts across different modes (text and images) and types (claim and document).

Paper: http://arxiv.org/abs/2302.07740
Code: https://github.com/wwweiwei/Pre-CoFactv2-AAAI-2023

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
An example of each category in …
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Fahim Farook

"Video Probabilistic Diffusion Models in Projected Latent Space. (arXiv:2302.07685v1 [cs.CV])" — Generating high-resolution and coherent video using diffusion models.

Paper: http://arxiv.org/abs/2302.07685

#AI #CV #NewPaper #DeepLearning #MachineLearning

<<Find this useful? Please boost so that others can benefit too 🙂>>
256×256 resolution, 128 frame v…
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Fahim Farook

A total of 54 papers in the cs.CV category on arXiv.org today — 33 new, 21 updated.

Are we slowing down for the weekend? 😛

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

I do most of my #StableDiffusion image generation using various scripts or GUIs that I created. Each of them store the image generation parameters in the image as meta data.

My latest generation GUI is also an image gallery. It lets me view the images I’ve generated and being able to see the parameters is handy since I can compare various images later and see what model, prompt, and settings were used.

I also do image generation on #Windows (as opposed to #Mac) using #InvokeAI. Now InovkeAI does store the generation settings in the image too but obviously, the keys used to store the data are different to mine.

So my image gallery does not show the settings used when I browse images generated in InokeAI 😛

I got a bunch of coding done and the new GUI working correctly as I liked yesterday. Now I have to figure out how to extract the metadata for InvokeAI-generated images and to display that in my viewer too … It never stops 😀

#Coding #ImageViewer #MachineLearning
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bmac@jawns.club

Brian MacDonald

Hey, folks. Big layoffs at DigitalOcean today, and my team and I were hit. In fact, so was my adjacent team, and a good chunk of my department. I don't have much reach here on Mastodon yet, but if anybody wants to discuss opportunities for a technical editor / writer / manager of same, I'm up for it.

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Fahim Farook

Anybody doing any #Generative #MachineLearning stuff and posting about it as you work on it? Not papers? But just the daily trials and tribulations (and successes) of working on stuff. Have too many #DeepLearning and #MachineLearning accounts talking about their courses and videos and stuff and not enough of the daily stuff …

I miss that … Seeing what other people are working on, the small triumphs, and learning about new ways to do/try things …

If you are out there, hit me up and I’d like to follow you 🙂
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treyhunner@mastodon.social

Trey Hunner 🐍

I'm excited to be presenting a tutorial for new programmers at @pycon this year. 😊

Have a colleague attending who doesn't (yet) write code? 🧑‍💻

Ask them to keep an eye out for "Intro to Python for Brand New Programmers" when tutorial registration opens up! 💖

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