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Top 23 C++ Tensorflow Projects
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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.
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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.
Project mention: My matrix bot that transcribes speech in audio messages | news.ycombinator.com | 2022-12-12Mozilla has an open source tect-to-speech project, called deep speech.
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
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ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Project mention: [D] Best way to package Pytorch models as a standalone application | reddit.com/r/MachineLearning | 2023-01-06They're using NCNN to package the model. Have a look. https://github.com/Tencent/NCNN
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Project 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.
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Project 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/
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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
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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
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 efforts
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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?
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STT
🐸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 | 2023-01-03This 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
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In the ML section you mentioned Kompute and MediaPipe. Have you seen IREE? It has a Vulkan-like compute-only HAL. https://github.com/iree-org/iree
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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
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athena
an open-source implementation of sequence-to-sequence based speech processing engine (by athena-team)
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Project 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!
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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:
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MocapNET
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 kinematic
Project mention: Achieving cheap mediocre FBT using 2 cameras, machine learning, and triangulation | reddit.com/r/VRchat | 2023-01-23Also 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.
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yggdrasil-decision-forests
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 | 2022-11-07However if you know cpp you can use Yggdrasil https://github.com/google/yggdrasil-decision-forests.
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Project 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
- Recording execution within GradientTape context
- Python's "Disappointing" Superpowers
- With this code, how can I measure the distance in centimeters of the objects I have detected in tensorflow lite?
- Achieving cheap mediocre FBT using 2 cameras, machine learning, and triangulation
- 👙 Ready for Thot or Bot? 🤖
- Will Waymo dominate the transportation industry?
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A note from our sponsor - Sonar
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Index
What are some of the best open-source Tensorflow projects in C++? This list will help you:
Project | Stars | |
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1 | tensorflow | 171,019 |
2 | DeepSpeech | 21,034 |
3 | ncnn | 16,344 |
4 | onnxruntime | 8,219 |
5 | Open3D | 8,033 |
6 | serving | 5,761 |
7 | pedalboard | 3,966 |
8 | TNN | 3,832 |
9 | EAST | 2,910 |
10 | self-driving-car | 2,453 |
11 | STT | 1,727 |
12 | iree | 1,593 |
13 | uTensor | 1,515 |
14 | PoseEstimationForMobile | 953 |
15 | frugally-deep | 934 |
16 | athena | 837 |
17 | deepbacksub | 699 |
18 | cppflow | 685 |
19 | io | 614 |
20 | MocapNET | 588 |
21 | dirt | 299 |
22 | yggdrasil-decision-forests | 284 |
23 | tensorflow_cpp | 15 |