oukkahe

HI! Thanks for a prompt reply. My replies: Point 1: {0: 'Salmon', 1: 'Trout', 2: 'Perch', 3: 'Bream', 4: 'Roach', 5: 'Ide', 6: 'Grayling', 7: 'Rainbow trout', 8: 'Char', 9:...

Anyway, I think the inference results of Yolo11 are great and I'm a dedicated fan. That's why I'd like to get it integrated to my application's product version asap.

Additionally, the issue with 13 vs 12 classes may be a result of a change in output format. The class scores seem to start at data + 4 and not...

My ultralytics version was 8.3.96, now update to 8.3.97. No change. Should I revert 8.2.17? To produce a reproducible example I should upload hundreds of MBs. I will try and...

I downloaded yolo11l.pt and exported that to onnx. Then I run the python example: https://github.com/ultralytics/ultralytics/blob/main/examples/RTDETR-ONNXRuntime-Python/main.py with zidane.jpg (also from your site). Here's what I get: The boxes are incorrect.

With the oyher image, bus.jpg, the boxes are ok.

I am not sure if this is the whole issue though. I can see the same box issue with my model, but the names may also be incorrect.

Dear Paula, my problem is that that I just cannot use python inference for performance reasons. Are other mods in the output format? Perhaps I could do some corrections to...

Is there a typo here: for output in outputs: boxes = output[:, :4] # xywh scores = output[:, 4] # confidence class_ids = output[:, 5:5+nc].argmax(1) # class probabilities start at...

Dear Paula, Sorry, it’s not possible for me to put much more effort on this. I will have to stick with my old yolo8 version and move on. But I...