cppflow
Run TensorFlow models in C++ without installation and without Bazel (by serizba)
ssd_keras
A Keras port of Single Shot MultiBox Detector (by pierluigiferrari)
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| cppflow | ssd_keras | |
|---|---|---|
| 9 | 4 | |
| 759 | 1,846 | |
| - | - | |
| 0.0 | 0.0 | |
| 11 months ago | about 2 years ago | |
| C++ | Python | |
| MIT License | Apache License 2.0 |
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.
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++
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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
ssd_keras
Posts with mentions or reviews of ssd_keras.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-01.
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Failed to get convolution algorithm. This is probably because cuDNN failed to initialize,
In Tensorflow/ Keras when running the code from https://github.com/pierluigiferrari/ssd_keras, use the estimator: ssd300_evaluation. I received this error.
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Shared weights between different implementations
Yeah, the order of axes was different between those 2. Another guy used https://github.com/pierluigiferrari/ssd_keras https://github.com/uhfband/keras2caffe/blob/master/keras2caffe/convert.py probably not much actual use but maybe some more reassurance?
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Simplest way to deploy Keras NN model into C++?
Don't know about simplest, but we either used caffe or tensorrt, it is maybe a bit difficult to use but I'd actually say simple fast GPU inference is what it's geared towards. There is a keras -> caffe converter https://github.com/pierluigiferrari/ssd_keras here, I think. Caffe is a c++ lib, typical, with dependencies and all. I've never heard anything of tensorflow running on c++. But with tensorrt you should get an "artifact" that you'd load, no matter where it comes from
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ValueError: Layer model expects 1 input(s), but it received 2 input tensors. Help?
Tensorflow V1 Keras code (original repo): Github Repo
What are some alternatives?
When comparing cppflow and ssd_keras you can also consider the following projects:
examples - TensorFlow examples
layout-parser - A Unified Toolkit for Deep Learning Based Document Image Analysis
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
zero-shot-object-tracking - Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.
qt-tf-lite-example - Qt TensorFlow Lite example
efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.
keras2cpp - This is a bunch of code to port Keras neural network model into pure C++.
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
emlearn - Machine Learning inference engine for Microcontrollers and Embedded devices
a-PyTorch-Tutorial-to-Object-Detection - SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
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.
SSD-pytorch - SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity
cppflow vs examples
ssd_keras vs layout-parser
cppflow vs onnxruntime
ssd_keras vs zero-shot-object-tracking
cppflow vs qt-tf-lite-example
ssd_keras vs efficientnet-lite-keras
cppflow vs keras2cpp
ssd_keras vs Mask-RCNN-TF2
cppflow vs emlearn
ssd_keras vs a-PyTorch-Tutorial-to-Object-Detection
cppflow vs DeepSpeech
ssd_keras vs SSD-pytorch