Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add LSTM at the beginning #13456

Open
1 task done
RayDu111 opened this issue Dec 12, 2024 · 3 comments
Open
1 task done

Add LSTM at the beginning #13456

RayDu111 opened this issue Dec 12, 2024 · 3 comments
Labels
enhancement New feature or request question Further information is requested

Comments

@RayDu111
Copy link

Search before asking

Question

Hi, my data includes the time information. So I tried to add LSTM in yolo to extract the time information. I want to concat the image and LSTM result, then put it to the layer 0 which is 'Conv' in yolov5s.yaml. But I have no idea which layer or API presents the image. Because only layer 0 could get the image as the input which is 'Conv' in yolov5s.yaml. Could you please give me some advice? Thank you.

Additional

No response

@RayDu111 RayDu111 added the question Further information is requested label Dec 12, 2024
@pderrenger pderrenger added the enhancement New feature or request label Dec 12, 2024
@pderrenger
Copy link
Member

👋 Hello @RayDu111, thank you for your interest in YOLOv5 🚀! It sounds like you're working on an exciting project involving time-series data and YOLOv5 integration.

If this is a 🐛 Bug Report, please include a minimum reproducible example (MRE) that we can run to better understand and debug your issue.

If this is a custom training or implementation ❓ Question, please share additional details such as your proposed modifications, relevant code snippets, and error messages (if any). Providing this information will help us better assist you.

To ensure your environment is properly set up, please verify that you have Python>=3.8.0 installed along with all the required dependencies. You can do this by cloning the YOLOv5 repository, navigating to the folder, and installing the requirements using pip.

YOLOv5 is compatible with various environments, and you can run it on Jupyter Notebooks, Google Colab, cloud setups like AWS or GCP, or locally using Docker or installed dependencies. Let us know how you're running your code so we can assist further.

An Ultralytics engineer will review your request and provide personalized assistance soon! 😊

@RayDu111
Copy link
Author

I had work it out. I added a Identity mapping layer which is layer 0. So I get the API of image. Thank you.

@pderrenger
Copy link
Member

@RayDu111 great to hear that you resolved it by adding an identity mapping layer! If you have further questions or need assistance with any modifications, feel free to reach out. Thanks for contributing to the YOLO community!

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request question Further information is requested
Projects
None yet
Development

No branches or pull requests

2 participants