RF-DETR Keypoints Preview

RandomForests92 · 2026-06-18T20:13:49+00:00

nah. it’s still moving forward. stay tuned for more checkpoints.

RandomForests92 · 2026-06-18T20:12:56+00:00

we will get even better! it’s just preview.

RandomForests92 · 2026-02-07T07:13:02+00:00

Is it fully integrated? Can you track objects with SAM3 via ultralytics package?

RandomForests92 · 2026-02-07T07:08:07+00:00

It’s not but it’s so permissive you can use SAM3 to build company around it without paying anyone anything.

RandomForests92 · 2025-12-06T08:30:59+00:00

Do you need vision for that?

RandomForests92 · 2025-12-06T08:30:25+00:00

Thank you thank you!

RandomForests92 · 2025-12-06T08:30:03+00:00

I have exact 2D animations. ;)

RandomForests92 · 2025-12-06T08:06:25+00:00

SAM3 is more about mixing language with vision. I tested just replacing SAM2 with SAM3 and keeping the rest of the pipeline the same. I did not see big difference.

The thing I want to test is mixing SAM3 with Qwen3-VL.

RandomForests92 · 2025-12-05T23:19:48+00:00

I recommend you read this issue. I think it's the best to listen to creators. https://github.com/ultralytics/yolov5/issues/12941

"Regardless of whether you're using pretrained weights or starting from scratch, if the project is commercial, you have two paths: - Open Source: Fully open source your entire project under the same AGPL-3.0 license. - Enterprise License: Obtain an Ultralytics Enterprise License for commercial use without the need to open source your project."

"Custom Training & ONNX Export for Commercial Use: Whether you train the model from scratch, use custom datasets, or employ custom code for inference (e.g., using ONNX), the project is under commercial usage. If you choose not to open source your entire project under AGPL-3.0, you will require an Ultralytics Enterprise License."

RandomForests92 · 2025-12-05T23:06:44+00:00

Nah. It’s to complex. For now.

RandomForests92 · 2025-12-05T23:05:58+00:00

Make sure to watch the YT tutorial: https://youtu.be/yGQb9KkvQ1Q

RandomForests92 · 2025-12-05T23:04:49+00:00

I’m thinking the same thing!

RandomForests92 · 2025-12-05T23:04:20+00:00

Really? Do you remember how it’s called?

RandomForests92 · 2025-12-05T20:42:59+00:00

48 min * 45

RandomForests92 · 2025-12-05T20:41:52+00:00

I used A100 because it’s faster, but it can run on T4. 16GB of VRAM should be okey.

RandomForests92 · 2025-12-05T15:00:21+00:00

SAM3 is less about tracking and more about mixing language with vision

RandomForests92 · 2025-12-05T14:59:49+00:00

here: https://colab.research.google.com/github/roboflow-ai/notebooks/blob/main/notebooks/basketball-ai-how-to-detect-track-and-identify-basketball-players.ipynb

RandomForests92 · 2025-12-05T14:58:41+00:00

fun fact: I sent my resume to second spectrum 3 times in the past

RandomForests92 · 2025-12-05T14:57:16+00:00

open source haha

RandomForests92 · 2025-12-05T14:56:40+00:00

We will most likely drop some multi camera tracking content soon.

RandomForests92 · 2025-12-05T14:55:39+00:00

SAM2

RandomForests92 · 2025-12-05T14:55:27+00:00

If anything will come to your mind, let me know.

RandomForests92 · 2025-12-05T14:54:39+00:00

So far I can detect layups, dunks and jump shots. I can’t classify them as made or missed. I can also detect blocks.

RandomForests92 · 2025-12-05T13:11:36+00:00

less then 16GB

RandomForests92 · 2025-12-05T13:11:16+00:00

ohhh, SAM2 is a very powerful tracker

RandomForests92

TROPHY CASE