ru/integrations/tflite/

[giscus[bot]]

ru/integrations/tflite/

Узнайте, как конвертировать модели YOLO11 в TFLite для развертывания на периферийных устройствах. Оптимизируйте производительность и обеспечьте бесперебойную работу на различных платформах.

https://docs.ultralytics.com/ru/integrations/tflite/

[Alexts166]

Hi! Please give me a hint. Exporting the model .pt in the model . tflite according to the code in the documentation. It remains to cope with the ai_edge_litert package. Do I understand correctly that there is no such package for WINDOWS? based on the information on https://pypi.org/project/ai-edge-litert/#files Or is there a way out?

[UltralyticsAssistant]

👋 Hello, thank you for your interest in Ultralytics 🚀! For users exploring model conversion and deployment, we recommend checking out the Docs where you’ll find a variety of helpful Python and CLI usage examples, as well as detailed integration guides.

If this is a 🐛 Bug Report regarding TFLite conversion, please provide a minimum reproducible example to help us investigate.

If you have a custom training ❓ Question or experience any issues during conversion, please include as much information as possible, such as code snippets, error messages, and details about your environment. Also, check our Tips for Best Training Results to ensure optimal performance.

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Upgrade

Please upgrade to the latest ultralytics package and all requirements in a Python>=3.8 environment with PyTorch>=1.8 to ensure your issue is not already resolved:

pip install -U ultralytics

Environments

YOLO can be run in any of these up-to-date verified environments (with all dependencies such as 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 Ultralytics CI tests are currently passing. CI tests verify correct operation of all YOLO Modes and Tasks on macOS, Windows, and Ubuntu every 24 hours and on every commit.

🔔 This is an automated response. An Ultralytics engineer will also assist you here soon!

[Alexts166]

I'm working through the IDE, and I've updated the dependencies. I'm launching it
from ultralytics import YOLO

Load the YOLO11 model

model = YOLO("yolo11m-obb.pt")

Export the model to TFLite format

model.export(format="tflite")

ERROR TensorFlow SavedModel: export failure 34.3s: No module named 'ai_edge_litert'
Traceback (most recent call last):
File "D:\nEWpapka\convert.py", line 7, in
model.export(format="tflite") # creates 'yolo11n_float32.tflite'
File "D:\nEWpapka.venv\lib\site-packages\ultralytics\engine\model.py", line 734, in export
return Exporter(overrides=args, callbacks=self.callbacks)(model=self.model)
File "D:\nEWpapka.venv\lib\site-packages\ultralytics\engine\exporter.py", line 494, in call
f[5], keras_model = self.export_saved_model()
File "D:\nEWpapka.venv\lib\site-packages\ultralytics\engine\exporter.py", line 198, in outer_func
raise e
File "D:\nEWpapka.venv\lib\site-packages\ultralytics\engine\exporter.py", line 193, in outer_func
f, model = inner_func(*args, **kwargs)
File "D:\nEWpapka.venv\lib\site-packages\ultralytics\engine\exporter.py", line 1003, in export_saved_model
import onnx2tf # scoped for after ONNX export for reduced conflict during import
File "D:\nEWpapka.venv\lib\site-packages\onnx2tf_init.py", line 1, in
from onnx2tf.onnx2tf import convert, main
File "D:\nEWpapka.venv\lib\site-packages\onnx2tf\onnx2tf.py", line 44, in
from onnx2tf.utils.common_functions import (
File "D:\nEWpapka.venv\lib\site-packages\onnx2tf\utils\common_functions.py", line 20, in
from ai_edge_litert.interpreter import Interpreter
ModuleNotFoundError: No module named 'ai_edge_litert'

in bash
pip install ai_edge_litert
ERROR: Could not find a version that satisfies the requirement ai_edge_litert (from versions: none)
ERROR: No matching distribution found for ai_edge_litert

[glenn-jocher]

You're correct that ai_edge_litert has limited platform support and isn't available for Windows. For TFLite export on Windows, I recommend using one of these alternatives:

1. Google Colab (recommended): Export your model in a Colab notebook which runs on Linux
2. Docker: Use the Ultralytics Docker image on Windows to export in a Linux container
3. WSL2: Export using Windows Subsystem for Linux

The simplest approach is Colab - just upload your .pt file and run the export code there, then download the resulting .tflite file back to your Windows machine.

[Alexts166]

Thank you for your recommendations

[glenn-jocher]

You're welcome! Feel free to ask if you run into any issues with the export process using any of those methods.