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Top 23 C++ Tensorflow Projects
An Open Source Machine Learning Framework for EveryoneProject mention: Creating Image Frames from Videos for Deep Learning Models | dev.to | 2023-02-07
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library.
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.
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ncnn is a high-performance neural network inference framework optimized for the mobile platformProject mention: [D] Best way to package Pytorch models as a standalone application | reddit.com/r/MachineLearning | 2023-01-06
They're using NCNN to package the model. Have a look. https://github.com/Tencent/NCNN
ONNX Runtime: cross-platform, high performance ML inferencing and training acceleratorProject mention: Using AI to infer depth information from images in Godot 4 .NET 6 using the MiDaS monocular depth model | reddit.com/r/godot | 2022-12-01
Unsure how useful this is, and the project itself needs a bit of a cleanup since I ported it to godot 4 last night. But at the very least, it provides an example of using the ONNX Runtime package in C# to transfer image data to and from a pre-trained model.
Open3D: A Modern Library for 3D Data ProcessingProject mention: CD PROJEKT RED announce The Witcher Remake in Unreal Engine 5 | reddit.com/r/linux_gaming | 2022-10-26
There's also Open3D (O3D) the point cloud library... http://www.open3d.org/
A flexible, high-performance serving system for machine learning modelsProject mention: Should I wait for the M2 Macbook Pro? | reddit.com/r/macbookpro | 2022-10-10
We’re looking into that solution at the moment, the issue I’m referring to is related to this https://github.com/tensorflow/serving/issues/1948 we’ll know if the plug-in approach works for our uses soon but haven’t started looking into implementing it yet
🎛 🔊 A Python library for working with audio.Project mention: Library for Audio Effects (Debian Raspberry Pi) | reddit.com/r/learnpython | 2023-01-02
I found this really cool and promising library called "Pedalboard" but when I try to install it using PIP I get this error message:
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TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source effortsProject mention: What’s New in TensorFlow 2.10? | news.ycombinator.com | 2022-09-06
A tensorflow implementation of EAST text detector (by argman)
Udacity Self-Driving Car Engineer Nanodegree projects. (by ndrplz)Project mention: Need help with my school project. | reddit.com/r/AutonomousVehicles | 2022-10-19
Hi everyone, I'm currently doing a project for my final semester about self-driving car. I have read this repo on GitHub and when followed through, it can run on the sample maps. However, when I try it on other custom maps, the result was not as good. Can anyone here give me some general advice to further improve the model?
🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.Project mention: Are there any OCR and Speech-to-Text services that are privacy friendly? | reddit.com/r/privacy | 2023-01-03
This speech-to-text works well: https://github.com/coqui-ai/STT. openai's "whisper" is probably better but I haven't tried it: https://towardsdatascience.com/transcribe-audio-files-with-openais-whisper-e973ae348aa7
TinyML AI inference library
:dancer: Real-time single person pose estimation for Android and iOS.
Header-only library for using Keras (TensorFlow) models in C++.Project mention: Handwritten digit recognition using CircuitPython, Raspberry Pi Pico, OV7670 and 120x160 TFT LCD. r/circuitpython - Handwritten digit recognition using CircuitPython, Raspberry Pi Pico, OV7670 and 120x160 TFT LCD. | reddit.com/r/raspberry_pi | 2022-09-04
an open-source implementation of sequence-to-sequence based speech processing engine (by athena-team)
Virtual Video Device for Background Replacement with Deep Semantic SegmentationProject mention: Zoom (flatpak) cannot use virtual backgrounds other than default ones | reddit.com/r/linuxquestions | 2022-08-14
Is there any way I can get around this? I only thought about using this, but it would be nice if there's a less hacky way around it. Cheers!
Run TensorFlow models in C++ without installation and without BazelProject mention: Easily run TensorFlow models from C++ | news.ycombinator.com | 2023-01-12
Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO (by tensorflow)Project mention: How to use TensorFlow with Redpanda for real-time machine learning | dev.to | 2022-06-15
I copied this gist from the main GitHub repo of the TensorFlow / io organization:
We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematicProject mention: Achieving cheap mediocre FBT using 2 cameras, machine learning, and triangulation | reddit.com/r/VRchat | 2023-01-23
Also google says that Mocapnet has some sort of blender workflow, which would likely be a valid starting point if you ever stop with the 2d methods.
DIRT: a fast differentiable renderer for TensorFlow
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.Project mention: Binary image classification using random forest algorithm | reddit.com/r/embedded | 2022-11-07
However if you know cpp you can use Yggdrasil https://github.com/google/yggdrasil-decision-forests.
Helpful model wrappers around TensorFlow C++ APIProject mention: [P] libtensorflow_cc: Pre-built TensorFlow C++ API | reddit.com/r/MachineLearning | 2022-10-20
Looks like tfcompile still exists, but I have never used it myself. Doesn't look to be much better documented than the C++ API itself. The full C++ API of course gives you way more flexibility and doesn't involve this special process of compiling a specific model. We have been pretty happy with our additional wrapper library tensorflow_cpp, allowing us to easily load arbitrary frozen graphs and saved models for inference.
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C++ Tensorflow related posts
Creating Image Frames from Videos for Deep Learning Models
2 projects | dev.to | 7 Feb 2023
Recording execution within GradientTape context
1 project | reddit.com/r/tensorflow | 6 Feb 2023
Python's "Disappointing" Superpowers
2 projects | reddit.com/r/programming | 2 Feb 2023
With this code, how can I measure the distance in centimeters of the objects I have detected in tensorflow lite?
1 project | reddit.com/r/tensorflow | 25 Jan 2023
Achieving cheap mediocre FBT using 2 cameras, machine learning, and triangulation
2 projects | reddit.com/r/VRchat | 23 Jan 2023
👙 Ready for Thot or Bot? 🤖
3 projects | reddit.com/r/StableDiffusion | 22 Jan 2023
Will Waymo dominate the transportation industry?
1 project | reddit.com/r/SelfDrivingCars | 15 Jan 2023
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www.sonarsource.com | 9 Feb 2023
What are some of the best open-source Tensorflow projects in C++? This list will help you: