cppflow
qt-tf-lite-example
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| cppflow | qt-tf-lite-example | |
|---|---|---|
| 9 | 2 | |
| 759 | 3 | |
| - | - | |
| 0.0 | 0.0 | |
| 11 months ago | over 3 years ago | |
| C++ | C++ | |
| MIT License | MIT License |
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cppflow
- Easily run TensorFlow models from C++
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[P] libtensorflow_cc: Pre-built TensorFlow C++ API
It’s been awhile since I’ve looked at it, so not sure how hard it would be to get to work. I only commented since you mentioned that you would support other operating systems. For others interested in cross platform support there is also cppflow.
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Deep learning classification with C++
what about start with keras and convert model to c++ ? https://github.com/pplonski/keras2cpp https://github.com/serizba/cppflow
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Using embedding model in C++ app
My solution so far: I am using a compiled Tensorflow C DLL in combination with cppflow (https://github.com/serizba/cppflow). However, I get problems when I take models which use operations from the tensorflow_text python module since I don’t know how to get their C++ API.
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What is the most used library for AI in C++ ?
I use cppflow to run compiled tensorflow models natively in C++. It works like a charm :)
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[Python] Importing a TensorFlow AI?
I toyed around with this idea a while back but I never got around to finishing the implementation. If all you need is inference with no training and you are relatively familiar with c++ you could look into creating a module for Godot that interfaces with the Tensorflow C API. Something like cppflow would provide an even easier API to work with. Looking into that project could also explain how they interface with the Tensorflow C API if you'd rather cut out the middle man. A module like this would let you train your model in Python and then load it and perform inference in Godot natively.
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Simplest way to deploy Keras NN model into C++?
If your re using keras with TensorFlow you can save it as a saved model format and then you can easily use cppflow to perform inference with it.
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I trained a Neural Network to understand my commands when playing my game
The whole game is written in C++ using SFML for the graphics, entt as Entity-Component-System and tensorflow for the Neural Network. Tensorflow itself is written in C, so I use cppflow to integrate it into my C++ framework.
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TF-agent with C/C++ environment
Found this which seems more recent (uses TF 2, updated 4 days ago): https://github.com/serizba/cppflow
qt-tf-lite-example
What are some alternatives?
examples - TensorFlow examples
otter-browser - Otter Browser aims to recreate the best aspects of the classic Opera (12.x) UI using Qt5
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
openauto - AndroidAuto headunit emulator
keras2cpp - This is a bunch of code to port Keras neural network model into pure C++.
Qt - Qt Base (Core, Gui, Widgets, Network, ...)
ssd_keras - A Keras port of Single Shot MultiBox Detector
linuxdeployqt - Makes Linux applications self-contained by copying in the libraries and plugins that the application uses, and optionally generates an AppImage. Can be used for Qt and other applications
emlearn - Machine Learning inference engine for Microcontrollers and Embedded devices
apkstudio - Open-source, cross platform Qt based IDE for reverse-engineering Android application packages.
DeepSpeech - DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
tensorflow - An Open Source Machine Learning Framework for Everyone