yolov10 with Swin Transformer

[tahir1100]

Hi, I want to integrate Swin Transformer with Yolov10 in its backbone but as I have upgraded to the latest version of Ultralytics, it's appearing error about
File "D:\yolov10-main\ultralytics\models\yolov10\model.py", line 47, in
from ultralytics.nn.modules.block import CustomSwinTransformerBlock
ImportError: cannot import name 'CustomSwinTransformerBlock' from 'ultralytics.nn.modules.block' (D:\yolov10-main\venv\lib\site-packages\ultralytics\nn\modules\block.py)
Does anyone tell me, what should I do?

[UltralyticsAssistant]

👋 Hello @tahir1100, thank you for your interest in Ultralytics 🚀! This is an automated response, and an Ultralytics engineer will assist you soon.

To address your issue with integrating the Swin Transformer in YOLOv10, here are a few steps you can take:

1. Documentation Review:
   Make sure to check our Docs for insights into model customization and available modules. It might provide clarity on the usage of Swin Transformer.

2. Minimum Reproducible Example:
   If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it. Include any code snippets and error messages you've encountered.

3. Upgrade and Environment Check:
   Ensure your Ultralytics package is up-to-date by using the following command:

   pip install -U ultralytics

   Also, verify that you're operating in a compatible environment as mentioned in our requirements.

4. Explore Different Environments:
   Consider trying your setup in one of our verified environments such as Colab, Kaggle, or Docker.

5. Community Support:
   Engage with our community on Discord 🎧 for real-time help, or seek insights on Discourse or Subreddit.

Status

If the badge is green, all Ultralytics CI tests are passing, indicating stable operation across different platforms.

Stay tuned for further assistance! 😊

[tahir1100]

There is no such information related to integration or customization of Yolov10 Backbone Is Swin Transformer compatible with Yolov10 or not? How can I check whether is it compatible or not?
I am using Windows and all requirements have been satisfied.

[glenn-jocher]

@tahir1100 to check compatibility, you'll need to ensure the Swin Transformer is implemented in the YOLOv10 architecture. If the CustomSwinTransformerBlock isn't available, you might need to implement it manually or check for updates in the Ultralytics repository.

[Rafli-Adytia-Nugraha]

how to implement it manually?

[glenn-jocher]

To implement it manually, you'd need to define a CustomSwinTransformerBlock by integrating the Swin Transformer architecture into the YOLOv10 backbone. You can refer to the existing transformer modules in ultralytics/nn/modules/transformer.py for guidance or adapt a Swin Transformer implementation from its original repository to match YOLOv10's backbone structure. Let me know if you need further details on this!