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GeezerVison is showing github.com — GitHub - Qengineering/TensorFlow-Lite-Raspberry-Pi_64-bit: TensorFlow Lite installation wheels for Raspberry Pi 64 OS

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C++
 
 
TF-lite 2.10.0
TF-lite 2.10.0
 
 
TF-lite 2.7.0
TF-lite 2.7.0
 
 
TF-lite 2.8.0
TF-lite 2.8.0
 
 
TF-lite 2.9.1
TF-lite 2.9.1
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 

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TensorFlow Lite for Raspberry Pi and Jetson Nano

output image

Here you find the C++ installation tar.gz files as mentioned in our guide.
Please see this page on how to install TensorFlow Lite C++.

For convenience reasons, we also placed the Python3 wheels.
Note, the provided wheels are not suitable for C++ programming, only the tar files are.

Both C++ and Python support NEON and XNNPACK.


Roadmap.

Select your Python3 version depending on your 64-bit operating system.

Python3 Operating system TF 2.10.0 TF 2.9.1 TF 2.8.0 TF 2.7.0
Python 3.6 Jetson Nano 4.6 ✔️
Python 3.7 Raspberry Pi Buster ✔️ ✔️ ✔️ ✔️
Python 3.8 Ubuntu 20.04 ✔️ ✔️ ✔️ ✔️
Python 3.9 Raspberry Pi Bullseye ✔️ ✔️ ✔️ ✔️
Python 3.10 Ubuntu 22.04 ✔️ ✔️ ✔️ ✔️

output image Find TensorFlow Lite with other frameworks and deep-learning examples on our SD-image

TensorFlow Lite

The TensorFlow Lite versions support NEON and XNNPack.
Please notice the provided wheels are not suitable for C++ programming!
Only for the Python3 installation of TensorFlow Lite on your machine.

Jetson Nano

TensorFlow Lite, intended for mobile devices, does not support CUDA.
You will have the regular aarch64 installation on your Nano.


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TensorFlow Lite installation wheels for Raspberry Pi 64 OS

qengineering.eu/install-tensorflow-2-lite-on-raspberry-64-os.html

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aarch64armv8cppdeep-learninginstallation-wheeljetson-nanolinuxpip3pythonpython3raspberry-piraspberry-pi-64-ostensorflow-litewheelwheelswhl

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