Ultralytics Solutions: Harness YOLO26 to Solve Real-World Problems#

@ZHIYUAN816 you don't need to set anything: the warning has no effect on training or metrics, only on how many items are drawn on the plotted validation images (optional, for visual review). In current versions that limit follows the max_det argument (default 300).

@ZHIYUAN816 this is not an error but a warning that the plotted prediction images are limited to a maximum number of items per image. It does not affect training. In current versions the limit follows max_det (default 300).

@smc0927 Hi! I’m not entirely sure I understand your question. Could you please clarify a bit?

Generally, the counting process is designed to occur only once for each track ID. Once an object is counted, it won't be counted again, even if it crosses the same region or line multiple times.

ok,I want to print out the coordinates of the target, but that's not what I want because it's going to be printed multiple times over a period of time. I want it to be output only once, is there a way to achieve this?

@smc0927 Yes it's possible. You can simply iterate over the detection results. BTW, this discussion is more related to Ultralytics solutions, while your question is related to prediction :)

Sample Code

from ultralytics import YOLO
model = YOLO("yolo11n.pt")
results = model.predict("path/to/im0")

if results[0].boxes.id is not None:
      boxes = results[0].boxes.xyxy.cpu()
      track_ids = results[0].boxes.id.int().cpu().tolist()
      clss = results[0].boxes.cls.cpu().tolist()

      for box, cls in enumerate(boxes, clss):
          # Here you can add the logic to display single-time details of the object

Thanks :)

sorry

@MuhammedEnesGurkan you can find the source codes for YOLOv8 solutions on the Ultralytics GitHub repository. For more detailed guides and examples, please visit the Ultralytics Solutions page at https://docs.ultralytics.com/solutions/.

@maxexplorer yes, YOLOv8 models will continue to work in your virtual environment after updating to YOLO11. If you have further questions, feel free to ask!

@yosifsaab it seems you're encountering an error with YOLOv8n in Google Colab. Please ensure your DATA_DIR is correctly set and that your dataset is properly formatted. If the issue persists, check the Colab notebook for any specific error messages that might provide more details. For further assistance, you can refer to the Ultralytics documentation.

@Nkosiyazimelani the number of classes (nc) is part of the trained model's detection head, so editing the .yaml file after training doesn't change what best.pt predicts. You need to train again with a dataset YAML that has all 46 classes. You don't have to start from scratch, you can fine-tune from your existing weights, and the layers whose shapes depend on the class count are reinitialized automatically:

from ultralytics import YOLO

model = YOLO("best.pt")
model.train(data="your_46_class_dataset.yaml", epochs=100)

Make sure your dataset contains labeled examples of both the old and the new classes, otherwise the model will forget the old ones.

@nounotabe to specify the device for running YOLOv8, you can use the device argument. For example, to use the second GPU (cuda:1), you can set device='cuda:1'. This can be done in both the CLI and Python API. If you encounter any issues, please ensure you are using the latest version of the package. For more detailed guidance, you can refer to our documentation at https://docs.ultralytics.com.

lasted version of ultralytics. solutions not works in Windows10, but works in Google Colab. What's wrong with it? How to settle it? from ultralytics import solutions,YOLO , Couldn't import solutions in my windows10.

It seems like there might be an issue with the solutions module on Windows 10. Please ensure you are using the latest version of the Ultralytics package. If the issue persists, try reinstalling the package or running the code in a different environment. For further assistance, you can refer to our documentation at https://docs.ultralytics.com/solutions/.

Just updated to v8.2.78 today ,uninstall and reinstall the latest version. and now it works on Windows10 . it seems there something changed in solutions init.py . this file caused import error in previous version. I noticed that in version 8.2.0, file init.py is blank. now add some code in it.