Exporting to Tensorflow

[scott-lam]

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• I have searched the YOLOv5 issues and found no similar bug report.

YOLOv5 Component

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Bug

Trying to export my best.pt weights file to a tensorflow saved_model. When this is done, there is no keras_metadata.pb file, meaning I am unable to make predictions via the model
Luckily though, I have an older version of the YOLOv5 Repo cloned on my machine. When using this to export the model, it creates a keras_metadata.pb file for the saved_model. Why is this not being created when the most up-to-date repo?

Environment

Google Colab

Minimal Reproducible Example

No response

Additional

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Are you willing to submit a PR?

• Yes I'd like to help by submitting a PR!

[github-actions]

👋 Hello @scott-lam, 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.

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Requirements

Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. 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):

• Google Colab and Kaggle 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 (train.py), validation (val.py), inference (detect.py) and export (export.py) on macOS, Windows, and Ubuntu every 24 hours and on every commit.

[glenn-jocher]

@scott-lam Keras export was deprecated due to file size limitations with the format in #6292

[scott-lam]

@glenn-jocher how would I use the tensorflow model in my application? It's a bit late to rewrite all my code to use pytorch, is there another way that I can use it for inference via tensorflow?

[glenn-jocher]

@scott-lam TF export and inference is pretty simple. Usage examples are displayed automatically after export:

python export.py --weights yolov5s.pt --include saved_model
python detect.py --weights yolov5s_saved_model

[github-actions]

👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.

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