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About class name about ultralytics HOT 6 OPEN

Godk02 avatar Godk02 commented on July 24, 2024
About class name

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Comments (6)

github-actions avatar github-actions commented on July 24, 2024

👋 Hello @Godk02, thank you for your interest in Ultralytics YOLOv8 🚀! We recommend a visit to the Docs for new users where you can find many Python and CLI usage examples and where many of the most common questions may already be answered.

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glenn-jocher avatar glenn-jocher commented on July 24, 2024

@Godk02 hello!

Thank you for reaching out with your question. Yes, you can rename the classes in a YOLO-trained model. The YOLO class provides a method called set_classes that allows you to set new class names.

Here’s a quick example to illustrate how you can do this:

from ultralytics import YOLO

# Load your trained model
model = YOLO('path/to/your/model.pt')

# Define your new class names
new_classes = ["class1", "class2", "class3"]

# Set the new class names
model.set_classes(new_classes)

# Verify the changes
print(model.model.names)

This will update the class names in your model to the ones specified in new_classes.

If you encounter any issues or have further questions, please ensure you are using the latest versions of torch and ultralytics. If the problem persists, providing a minimum reproducible example would be very helpful for us to investigate further. You can find more details on creating a reproducible example here.

Feel free to reach out if you need more assistance. Happy coding! 😊

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Godk02 avatar Godk02 commented on July 24, 2024

@Godk02你好!

感谢您提出问题。是的,您可以重命名 YOLO 训练模型中的类。该类YOLO提供了一种名为 的方法set_classes,允许您设置新的类名。

以下是一个简单的例子来说明如何做到这一点:

from ultralytics import YOLO

# Load your trained model
model = YOLO('path/to/your/model.pt')

# Define your new class names
new_classes = ["class1", "class2", "class3"]

# Set the new class names
model.set_classes(new_classes)

# Verify the changes
print(model.model.names)

这会将模型中的类名更新为中指定的类名new_classes

如果您遇到任何问题或有其他疑问,请确保您使用的是最新版本的torch和。如果问题仍然存在,提供最小可重现示例将非常有助于我们进一步调查。您可以在此处ultralytics找到有关创建可重现示例的更多详细信息。

如果您需要更多帮助,请随时联系我们。祝您编码愉快!😊

Thank u for your response!

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glenn-jocher avatar glenn-jocher commented on July 24, 2024

Hello @Godk02,

You're welcome! I'm glad the information was helpful. If you have any more questions or run into any issues, feel free to ask. We're here to help!

Just a quick reminder: if you encounter any bugs or issues, please ensure you are using the latest versions of torch and ultralytics. If the problem persists, providing a minimum reproducible example will greatly assist us in diagnosing and resolving the issue. You can find more details on creating a reproducible example here.

Happy coding! 😊

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Godk02 avatar Godk02 commented on July 24, 2024

Member

Can I import the YOLOv9 model and then modify it with this code? (I tried but it doesn't seem to work). Do you have any good suggestions? I would really appreciate it, thank you very much!

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glenn-jocher avatar glenn-jocher commented on July 24, 2024

Hello @Godk02,

Thank you for your question! Yes, you can import and modify the YOLOv9 model. Here’s a concise example to guide you through the process:

from ultralytics import YOLO

# Load the YOLOv9 model
model = YOLO('yolov9.pt')

# Modify the model as needed
# For example, changing class names
new_classes = ["class1", "class2", "class3"]
model.set_classes(new_classes)

# Verify the changes
print(model.model.names)

If you encounter issues, please ensure you are using the latest versions of torch and ultralytics. If the problem persists, providing a minimum reproducible example will greatly help us investigate further. You can find more details on creating a reproducible example here.

Feel free to reach out if you need more assistance. Happy coding! 😊

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