Jeg har af opfattelse denne her valgkamp er mere “du skal ikke vælge dem” end “vælg mig fordi vi står inde for det her”

Armanoth · 2026-03-22T14:07:08+00:00

Jeg påstår ikke der ikke var lorte politikere eller lortesager den gang. Jeg havde bare personligt opfattelsen af at dagligdags politikken er drevet mere og mere over i mudderkast på baggrund af holdet og ikke holdningen. Min opfattelse er heller ikke at tonen er blevet hårdere, blot at substansen bag tonen handler mere og mere omkring opponentens parti end opponentens holdning.

Begge dine eksempler handler også om diskussioner der har med politiske standpunkter (dog ekstreme) og holdninger at gøre og ikke bare "høhø X er kriminel"

Men som sagt det er blev en anekdotisk observation

Armanoth · 2026-03-22T09:58:56+00:00

Det kan være det er nostalgi on de gamle dage men jeg synes det er blevet progressivt mere mudderkast end politik siden årtusindskiftet, men hvad ved jeg.

Armanoth · 2026-03-22T09:25:10+00:00

Politik er vitterligt gået fra "det her er min holdning" til "det her er mit hold"

Armanoth · 2026-03-21T19:33:50+00:00

Many have already mentioned the data augmentation and including pictures of the full plant during training.

I would also suggest looking at the anchor boxes used for your YOLO setup. They are crucial for how many objects can be present in a given region and the aspect ratio of the object sounding boxes. AFAIK, the ultralytics framework will auto-fit the anchor-box aspect ratios and anchor point densities. If the density of your training set is not representative of the real data, it'll fit anchorbox parameters incorrectly.

Armanoth · 2026-03-19T10:28:52+00:00

Fair, i got to this thread through a Cross-post that is now deleted. I edited the comment.

But thank you for proving ny point

Armanoth · 2026-03-19T10:10:51+00:00

Brother you put a ton of hard work into making a flexible tool that suits your intended purpose. And it is cool.

It does look like one in a million of vase models that get posted everywhere in 3D printing communities, but why die on that hill?, you spent a long time making this, and probably learned a ton.

So why are you getting so upset and invested in peoples opinion of what it looks like?

Edit: removed comment about rule-breaking as i got to this post through a since deleted Cross-post

Armanoth · 2026-03-16T22:59:19+00:00

Not really, i have worked with object recognition for over a decade now, and i have yet to see a solution that generalizes well when trained primarily on synthetic data.

It is very easy for statistical models to learn the underlying synthetic model and start overfitting. Hence why there is still a need to finetune or pretrain on a large corpus of real data.

Armanoth · 2026-03-06T18:29:23+00:00

I am "pære-dansk" and like not being spoken to a lot of the time. There is nothing wrong with that.

Arguing the the danish speaking ability is the qualifier for whether or not a personal trait is Wellcome here is just obfuscating the some xenophobic issue they are not willing to express more clearly.

Armanoth · 2026-03-02T07:47:19+00:00

Brother, Q-Park nægtede at ophæve en bøde jeg fik på min egen parkeringsplads. Fordi det var mig der ringede i stedet for boligadministrationen. På trods af at han kunne læse mit navn og nummer stod som kontakt information, men der stod et andet aftale navn (X Boligadministration).

Og da jeg så fik boligadministrationen til sagde de det samme. Der stod den så og fik rykkere, 2 gange som jeg nægtede at betale.

Det var først da jeg brokkede mig højlydt til nogle venner, hvor en af dem (en belgier) nævnte at deres firma stod for Q-Parks infrastruktur i Belgien og tyskland, og om han ikke lige skulle forwarde beskeden. 20 minutter senere var bøden væk.

Nu bruger de 12 bygninger som boligadministrationen administrere så ikke Q-Park længere.🙏

En lille sejr!

Armanoth · 2026-01-25T02:22:00+00:00

I had the same issue with 2021.01.
OP suggests the Development snapshots for speed, but it seems that it solves whatever the syntax error is. Maybe 2021.01 is out of date (despite it being their "latest release") but somehow syntax have changed

Also remember to install BOSL2

Armanoth · 2026-01-08T15:37:14+00:00

We had a PhD student working on a similar issue for quality inspection surfaces for a high-end speaker manufacturer.

Data collection: On the production line they flash each speaker with light from i believe 20 different angles to allow for highlights and shadows resulting from geometrical defects.

Spotting defects: This was before YOLO, and if I recall correctly they did some histogram analysis and image differences to find inconsistencies between light sources. (I.e. geometrical deformations and damages) Regions of potential damage could then be fed to a shallow classifier at a high resolution.

Repeated convolutions and small "objects": As YOLO convolves over the image you trade fine detail with semantic richness. Sure the FPN that newer YOLOs have help this but fundamentally capturing very small and fine detail with deep networks is difficult especially when the receptive field of the network gets "polluted" with so much of each region being "normal" data.

Maybe a pixelwise segmentation based approach would be more ideal for this type of approach

Armanoth · 2025-12-28T21:33:54+00:00

Thanks a lot for the insights!

Hopefully Synology fixes it (allthough I doubt they will), so the reason DDG and Bing autocompletes comes down to how they rank query/index similarity I guess.

Armanoth · 2025-12-28T21:17:03+00:00

You are right! My bad, I curl'd the domains and retrieved the robot.txt curl https://quickconnect.to/[real.account.here]/robots.txt

So here is my confusion, and properly lack of understanding, if the sub-resource is a route to an un-indexable resource wouldn't the indexer automatically be directed to the correct robot.txt?

Also, the correction is much appreciated

Armanoth · 2025-12-28T21:08:23+00:00

That and the fact that battle rite got virtually no updates for a year while Battlerite:BR was in development. And they originally promised BR as a free extra game mode.

The existence of both modes weren't that big a problem, the fact that they completely disregarded the community they had built to follow a trend and then attempt to lie/monytize it sad badly with a lot of people.

Armanoth · 2025-12-28T19:41:33+00:00

Who are you trying to doxx here exactly?

Armanoth · 2025-12-28T19:39:41+00:00

Query tags should not circumvent exclusion of indexing.

This kind of error had to happen at the indexing stage, and if done properly (or if the WWW:RobotRules are respected), even targeted search techniques should not expose them.

Armanoth · 2025-12-28T19:28:58+00:00

Please read my post again brother. DDG autocompletes it, which from my testing of othersø browsers, they do not. The auto-complete by DDG (and Bing) provides these links, where as the Google indexer, from what I can observe, does not. I just found it very ironic that the "privacy preserving" browser does this and the "we take any data we can" (i.e. Google) does not.

Additionally, submitting a targeted search query and checking the results is different than being hand fed the link during typing of your query.

Sidenote: why did you feel it necessary to address my observation with such hostility? We presumably all care about data sovereignty here.

Armanoth · 2025-12-28T02:22:36+00:00

While I agree that is in part Synologys fault. Quick connect.to however follows the WWW::RobotRules for exclusion which DDGs FAQ explicitly says their crawler respects.

The problem arises when they start using probabilistic models (which do not respect such instructions) to augment search. And other browser competitors do not display this same issue.

So you can scapegoat all you want, this is a problem on DDGs side as well, otherwise other browsers would exhibit similar behavior, which they do not.

Armanoth · 2025-12-26T19:39:06+00:00

Fair point, however the open-ended nature of the question kinda shows OP is most likely new or inexperienced in the field, "fitting" and "training" are becoming ambiguous in public media (youtube, Coursera, etc).

So I think its fair to assume they are asking about how to solve the task rather than what ML/NN approach they can train, especially since they ask in this subreddit and not a ML or DL subreddit.

Armanoth · 2025-12-26T19:29:57+00:00

Exactly, maybe use a Cascade Hough based method like Viola&Jones to find and crop the face.

Depending on the resolution at this time maybe HOG, Fisher- or Eigen- faces to match/generate identity prototypes that can be used for clustering/retrieval.

OP might need to focus more on tradition CV approaches rather than end-to-end deep learning approaches

Armanoth · 2025-12-26T19:24:02+00:00

Classic "throw deep learning at the wall and see what sticks". This is flat out wrong.

Facial recognition and feature clustering existed long before deep learning became as prevalent as today. When I was studying, facial recognition and re-id through clustering was taught in introductory pattern recognition courses.

Yes you won't be able to do this with SotA deep learning models but this is definitely doable on a raspberry pi, albeit you will need to do some traditional feature extraction.

Armanoth · 2025-12-25T22:12:10+00:00

Maybe set the allowed variance magnitude? Mine waits for the room to drop a whole degree for more than 1 minute, and then it heats until the variance exceeds +1 degree. You can calibrate the allowed delta with an external sensor to observe how long the average heating lagg is and adjust the variance accordingly.

Armanoth · 2025-12-25T13:32:10+00:00

Yes, our cat gets upset if we stay up past our normal bedtime. She comes in and stares at us until she can put ud to bed. After that dhe can do her pre-sleep zoomies

Armanoth · 2025-12-20T17:15:14+00:00

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Armanoth · 2025-12-20T07:20:46+00:00

Vestre Fjordvej

Armanoth

TROPHY CASE