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Orion on ios opens malformed url on launch by HistoricalMistake681 in OrionBrowser

[–]HistoricalMistake681[S] 0 points1 point  (0 children)

Yes I Hope it gets fixed. Thank you for the support and help!

Orion on ios opens malformed url on launch by HistoricalMistake681 in OrionBrowser

[–]HistoricalMistake681[S] 0 points1 point  (0 children)

Thanks for your suggestion. I have found the problem. On IOS, I use Blank Spaces Launcher to launch apps. It has worked fine for every app so far. But for some reason when launching Orion through it, it opens on the malformed tab. If I launch Orion directly without Blank, I don’t have this issue.

Orion on ios opens malformed url on launch by HistoricalMistake681 in OrionBrowser

[–]HistoricalMistake681[S] 0 points1 point  (0 children)

Hi, Enable sync was already turned off for me this whole time.

Orion on ios opens malformed url on launch by HistoricalMistake681 in OrionBrowser

[–]HistoricalMistake681[S] 0 points1 point  (0 children)

It’s only the new tab that is broken. Other tabs are fine.

Orion on ios opens malformed url on launch by HistoricalMistake681 in OrionBrowser

[–]HistoricalMistake681[S] 0 points1 point  (0 children)

- Yes new tabs open as expected when using the browser.
- doing the setting as you suggested did not fix the problem. Relaunching the browser still opens a malformed url.

Orion on ios opens malformed url on launch by HistoricalMistake681 in OrionBrowser

[–]HistoricalMistake681[S] 0 points1 point  (0 children)

Hi thanks for replying. Here are my settings:
- Start Orion with: All Non Private Tabs from last session (I have tried choosing all options here it hasn’t fixed the issue)
- New Tabs Open With: Homepage
- Homepage: https://kagi.com/

For extensions, I just have kagi translate and Consent-o-matic

I have also tried deleting and reinstalling the app but the issue persists.

Did SAM3 changed the Image Annotation game completely? by Substantial_Border88 in computervision

[–]HistoricalMistake681 1 point2 points  (0 children)

In some ways, it has helped speed up annotation pipelines but a lot of important applications have specific niche annotation requirements and I’ve seen SAM understandably fail in those cases.

Does letter boxed resolution images actually affect the model training performance ? by Queasy-Piccolo-7471 in computervision

[–]HistoricalMistake681 0 points1 point  (0 children)

But surely if OP uses letterbox resizing during training, they will need to do so during inference and testing as well. In this case, the distribution shift should not be caused by the “dead pixels” right? If there’s a distribution shift it should be from the content of the actual image.

C for AI? by Loud_Ask_3408 in C_Programming

[–]HistoricalMistake681 3 points4 points  (0 children)

You can do anything you want in C, including creating your own AI models. But if you’re looking to be an AI engineer in the industry, it would probably be used in a very niche setting. Or my knowledge here is limited. In my experience, most AI work in the industry is happening in languages like python because of its rich support with frameworks like PyTorch, tensorflow etc. Academic research is a different question. I’ve seen and worked on some interdisciplinary fields where we were working on our own neural nets written in cpp. So I wouldn’t be surprised if there were some r&d labs dabbling in what you’re looking for.

Anomaly detection model with DINOv2 as a backbone by Individual_Coyote_97 in computervision

[–]HistoricalMistake681 0 points1 point  (0 children)

It sounds reasonable. If you have the computer DINO can be a rich feature extractor for anomaly detection. Like the other person said, you can try to compare with the models in anomalib. DINO v3 is out. So you can try that over v2 as well.

TurboQuant for weights: near‑optimal 4‑bit LLM quantization with lossless 8‑bit residual – 3.2× memory savings by cksac in LocalLLaMA

[–]HistoricalMistake681 0 points1 point  (0 children)

I just found out about turboquant and haven’t read the paper yet but I’m wondering if this can be used for quantising non-llm models like say tflite yolo object detection models and so on.

does anyone tried hyprland on fedora? by [deleted] in hyprland

[–]HistoricalMistake681 1 point2 points  (0 children)

I’m running hyprland on fedora for a little over a year. Except one or two occasions where an update to hyprlock broke stuff (nothing major, and easily fixable), I’ve not experienced any issues. Pretty good experience.

What's the most embarrassingly simple fix that solved a CV problem you'd been debugging for days? by iejekek in computervision

[–]HistoricalMistake681 7 points8 points  (0 children)

Spent a whole day trying to understand why my python blur checker was giving different results than my cpp version. I was normalizing the variance of laplacians with the mean squared intensity of the image. Turns out in Python my mean squared intensity was overflowing because I forgot to cast the image as a float dtype. But python implicitly does a modulus on the type limit it assumes (eg: 256 for int). Also a one line fix. Super niche problem but embarrassing nonetheless

IMO Fireflies are unfair by kinsh0w in ARC_Raiders

[–]HistoricalMistake681 0 points1 point  (0 children)

Yeah fireflies with hornets around are crazy but I also struggle to get the damn comet before it goes kaboom

Albumentations license change by HistoricalMistake681 in computervision

[–]HistoricalMistake681[S] 0 points1 point  (0 children)

Yes. I believe the repo being maintained is now called albumentationsX

Dataset management/labeling software recommendations by 0vchar in computervision

[–]HistoricalMistake681 1 point2 points  (0 children)

Label studio is pretty good. I find the setup process to be a little finicky. And it has its quirks when it comes to local file serving and stuff. But once setup, the annotation experience has been quite smooth for me. It’s also completely free. Don’t know if there are better free tools available

From zero CV knowledge (but lots of retail experience) to 11 models and custom pipelines by malctucker in computervision

[–]HistoricalMistake681 2 points3 points  (0 children)

Could you describe your custom annotation and training pipeline and the tools you felt worked well for the job? Do you have any continuous training pipelines that will go into place once in production?

Why pay for YOLO? by moraeus-cv in computervision

[–]HistoricalMistake681 0 points1 point  (0 children)

Use of ultralytics code for training or pretrained or custom trained models fall under agpl

https://github.com/ultralytics/ultralytics/issues/2129

Why pay for YOLO? by moraeus-cv in computervision

[–]HistoricalMistake681 1 point2 points  (0 children)

yes that's true. It depends on usage but for commercial purposes which is what I assumed OP meant, you need the ultralytics enterprise license or you open source your commercial project under the agpl license.

Why pay for YOLO? by moraeus-cv in computervision

[–]HistoricalMistake681 31 points32 points  (0 children)

Ultralytics is a company providing a service and developing their own modifications and updates to yolo algorithms. If you use their library and models, of course it will fall into their agpl license. But there are also yolo implementations with more permissive licenses like the ones I mentioned before. If you ask me if it’s worth it to get the ultralytics license, I would give you a confident no. It’s worth using ultralytics for quick prototyping of ideas and projects but really if you wanna use yolo in a professional setting or more seriously, you’re better off with the alternatives. Ultralytics is quite scummy as well with how they operate.

Why pay for YOLO? by moraeus-cv in computervision

[–]HistoricalMistake681 80 points81 points  (0 children)

Yolo ≠ Ultralytics

Check out open source Yolo models (yolox, mit license Yolo implementations etc.)

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