tflite error

[Selfpline6]

Search before asking

• I have searched the YOLOv5 issues and discussions and found no similar questions.

Question

When I make some changes to the c3 module and name it C3_dysnake, I do the training to get the best.pt file and convert it to tflite format, the following problem occurs how can I solve it.

Additional

No response

[github-actions]

👋 Hello @Selfpline6, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results.

Requirements

Python>=3.8.0 with all requirements.txt installed including PyTorch>=1.8. To get started:

git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
pip install -r requirements.txt  # install

Environments

YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

• Notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training, validation, inference, export and benchmarks on macOS, Windows, and Ubuntu every 24 hours and on every commit.

Introducing YOLOv8 🚀

We're excited to announce the launch of our latest state-of-the-art (SOTA) object detection model for 2023 - YOLOv8 🚀!

Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects.

Check out our YOLOv8 Docs for details and get started with:

pip install ultralytics

[glenn-jocher]

@Selfpline6 hello,

Thank you for reaching out and providing details about the issue you're encountering with the TFLite conversion after modifying the C3 module.

To assist you effectively, could you please provide a minimum reproducible code example? This will help us better understand the changes you've made and the context of the error. You can refer to our guide on creating a minimum reproducible example here: Minimum Reproducible Example. This step is crucial for us to reproduce the bug and investigate a solution.

Additionally, please ensure that you are using the latest versions of torch and the YOLOv5 repository. You can update your packages using the following commands:

pip install --upgrade torch
git pull

Once you've updated your packages, try the conversion process again to see if the issue persists. If it does, please share the reproducible code example and any additional details that might help us diagnose the problem.

Thank you for your cooperation, and we look forward to helping you resolve this issue!