keras-onnx
Convert tf.keras/Keras models to ONNX (by onnx)
cppflow
Run TensorFlow models in C++ without installation and without Bazel (by serizba)
| keras-onnx | cppflow | |
|---|---|---|
| 2 | 9 | |
| 329 | 761 | |
| - | - | |
| 4.4 | 0.0 | |
| over 2 years ago | 11 months ago | |
| Python | C++ | |
| Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
keras-onnx
Posts with mentions or reviews of keras-onnx.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-30.
- Deep learning classification with C++
-
[P] [D]How to get TensorFlow model to run on Jetson Nano?
Conversion was done from Keras Tensorflow using to ONNX https://github.com/onnx/keras-onnx followed by ONNX to TensorRT using https://github.com/onnx/onnx-tensorrt The Python code used for inference using TensorRT can be found at https://github.com/jonnor/modeld/blob/tensorrt/tensorrtutils.py
cppflow
Posts with mentions or reviews of cppflow.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-20.
- Easily run TensorFlow models from C++
-
[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
What are some alternatives?
When comparing keras-onnx and cppflow you can also consider the following projects:
onnx-tensorrt - ONNX-TensorRT: TensorRT backend for ONNX
examples - TensorFlow examples
RobustVideoMatting - Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
MMdnn - MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
qt-tf-lite-example - Qt TensorFlow Lite example
pytorch2keras - PyTorch to Keras model convertor
keras2cpp - This is a bunch of code to port Keras neural network model into pure C++.
ssd_keras - A Keras port of Single Shot MultiBox Detector
modeld - Self driving car lane and path detection
emlearn - Machine Learning inference engine for Microcontrollers and Embedded devices