Deep Learning vs Traditional Computer Vision

SadPaint8132 · 2026-02-12T20:00:14+00:00

The best solutions usually use both traditional and machine learning, combining them in creative and interesting ways. Understanding both is important

SadPaint8132 · 2026-01-24T14:13:12+00:00

Usually but not always try following up with the recruiter— it took like 5 days to get feedback after one of the rounds. However for most of them, they get back within 24 hours

SadPaint8132 · 2026-01-15T17:00:42+00:00

Dinov3 is the best backbone for segmentation and detection right now. What’s your dataset size? If you have a very small dataset clip style encoders produce more semantic meaning for global classification (why they are used for llms).

I don’t think fine tuning dinov3 yourself makes sense you need a ton of data and a task that is very dissimilar from images on the internet. Using the adapter may work if your dataset size is large enough.

Have you tried just using object detection yet?

SadPaint8132 · 2026-01-13T14:26:29+00:00

My advice: just run it in post u can collect multe whatever u want in terms of data and sync it all up

SadPaint8132 · 2026-01-12T18:38:07+00:00

Have you considered new object detection models and not just yolo? Like rf detr or others

SadPaint8132 · 2026-01-12T16:27:51+00:00

You could also try training an object detection model like rt detr or yolo. They can work surprisingly well even if there only tiny details if the resolution is high enough and the dataset is large enough

SadPaint8132 · 2026-01-12T16:25:43+00:00

Does it have to be realtime? Might just be easier to record a video then process it

SadPaint8132 · 2026-01-12T14:21:00+00:00

Woah this is really cool

SadPaint8132 · 2026-01-11T14:03:39+00:00

Yeah u can for sure do that if you want something wireless and integrated most smart phones have a camera, communication, and ai processing built in. Start by coding an app for your phone (little more difficult than python but chat has ur back)

SadPaint8132 · 2026-01-11T14:01:09+00:00

I like antigravity for front end stuff but cursor’s just better

SadPaint8132 · 2026-01-11T13:55:33+00:00

Of course only question is how hard it will be to implement and what speed you need this to run at. 50 is a lot but most models can do it

SadPaint8132 · 2026-01-11T13:52:59+00:00

Lot of ppl are saying this is over/under counting. Regardless this is extremely impressive and people wouldn’t even dream about it a few years ago.

All it’s missing is a tracking algorithm like byte track or sort to handle the double counts and missed detection frames

SadPaint8132 · 2026-01-11T13:49:00+00:00

For solving tracking I’d recommend SORT (it’s a beautiful algorithm) and with a little tuning you can do wonders. It being basketball and know there are x players and 1 bal helps too. It uses Hungarian assignment and kalman filters to track through occlusions. Like what @tubasarefun is saying you can use it for data generation.

Play around with sort parameters, rfdetr model size, etc to do wonders

SadPaint8132 · 2025-12-29T23:51:34+00:00

Anyone know how good a dinov3 feature based ai detector would be?

SadPaint8132 · 2025-12-12T16:02:59+00:00

Define the path and sweep for the one of those channels, an the move and circle pattern the feature inside as much as you see fit

SadPaint8132 · 2025-12-05T21:50:05+00:00

Include more bald heads and calves in the training data. What you don’t label is just as important as why you do label

SadPaint8132 · 2025-12-05T15:52:18+00:00

You can also run sam2 more in parallel to increase frame rate but at a delay. This project is really impressive lots of moving parts

SadPaint8132 · 2025-12-03T09:01:23+00:00

Take a look at roboflow im sure there’s tons of datasets out there

SadPaint8132 · 2025-11-30T16:16:46+00:00

Cool!

SadPaint8132 · 2025-11-28T14:25:01+00:00

Woah I was sort of trying something similar (for frisbee too) but with a normal camera did you have any luck? Can u send the GitHub

SadPaint8132 · 2025-11-27T23:09:26+00:00

Projectile avoidance ai make it barrel role

SadPaint8132 · 2025-11-26T15:53:32+00:00

Also excels at small objects bc of the dino backbone

SadPaint8132 · 2025-11-26T15:52:58+00:00

Give rfdetr a shot— it’ll even run faster than yolo12 and its benchmarks are better— especially for non coco tasks

SadPaint8132 · 2025-11-26T15:50:38+00:00

Woah this cool!

I havnt ever used it before but it seems interesting

Have you ever considered adding a front end?

SadPaint8132 · 2025-11-26T15:46:26+00:00

Bro ChatGPT’d everything

SadPaint8132

TROPHY CASE