Kadir Nar

Results 229 comments of Kadir Nar

This is a very nice improvement, but other models are not like this. So we need to write custom code for yolov8. Examples: Norfair: https://github.com/kadirnar/Norfair-Track/blob/main/norfair_tracker/norfair.py#L39 Strong_Sort: https://github.com/kadirnar/strongsort-pip/blob/main/strongsort/strong_sort.py#L38 OcSort: https://github.com/kadirnar/ocsort-pip/blob/main/ocsort/ocsort.py#L231 Byte_Tracker:...

> @anderzzz hi! sorry for the inconvenience caused. We're currently working on improving out results along with the dedicated docs regarding their usage. Currently we're using generators as its the...

> @kadirnartüm çıktılar bu kadar. kaynağın nedir? İşte ayrıntılar - https://docs.ultralytics.com/predict/ type(img_src) : numpy.ndarray I need this output. ![image](https://user-images.githubusercontent.com/36204372/213401574-1ae64b71-6421-444b-a93e-6455412c8ab6.png) I just need to do results.pred for the Yolov5 repo. But...

> Pandalar işlevi henüz uygulanmadı. Yakında bunun üzerinde çalışacağız Thank you for the answer. I don't need pandas integration. I want this. ``` tensor([[624.90729, 308.60022, 706.44482, 462.47269, 0.90652, 0.00000], [522.00854,...

> ``` > model = YOLO("yolov8n.pt") > pred = model.predict(source=img_src) > print(pred) > > res = pred[0] > res.boxes # -> boxes of shape n,6... res.boxes.boxes to get raw tensors....

> ### Search before asking > * [x] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and found no similar questions. > > ### Question > How to apply SAHI...

> > > ### Sormadan önce ara > > > > > > * [x] [YOLOV8 konularını](https://github.com/ultralytics/ultralytics/issues) ve [tartışmalarını tartışmalarını](https://github.com/ultralytics/ultralytics/discussions) ve benzer sorularını inceleyin . > > > > >...

Yolov8 + SAHI: https://github.com/obss/sahi/blob/main/demo/inference_for_yolov8.ipynb

> return_outputs This parameter doesn't work ``return_outputs is not a valid key. Similar keys: []```

> {"": 'cpu'} What should I do for the GPU?