ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform (by Tencent)
aitrack
6DoF Head tracking software (by AIRLegend)
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| ncnn | aitrack | |
|---|---|---|
| 12 | 68 | |
| 19,234 | 991 | |
| 2.1% | - | |
| 9.4 | 0.0 | |
| 4 days ago | over 1 year ago | |
| C++ | C++ | |
| GNU General Public License v3.0 or later | 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.
ncnn
Posts with mentions or reviews of ncnn.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-12.
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AMD Funded a Drop-In CUDA Implementation Built on ROCm: It's Open-Source
ncnn uses Vulkan for GPU acceleration, I've seen it used in a few projects to get AMD hardware support.
https://github.com/Tencent/ncnn
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[D] Best way to package Pytorch models as a standalone application
They're using NCNN to package the model. Have a look. https://github.com/Tencent/NCNN
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Realtime object detection android app
Hi. Here is my prefered android app for realtime objet detection: https://github.com/nihui/ncnn-android-nanodet ; https://github.com/Tencent/ncnn contains a lot of android demo app for a lot of models.
- ncnn: High-performance neural network inference framework optimized for mobile
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Esp32 tensorflow lite
ncnn home page: https://github.com/Tencent/ncnn
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MMDeploy: Deploy All the Algorithms of OpenMMLab
ncnn
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Draw Things, Stable Diffusion in your pocket, 100% offline and free
Yes, Android devices tend to have bigger RAMs, making running 1024x1024 possible (this is not possible at all on iPhones, which could peak around 5GiB memory with my current implementation, some serious engineering required to bring that down on iPhone devices). The problem is I am not sure about speed. I would likely switch to NCNN (https://github.com/Tencent/ncnn) as the backend which have a decent Vulkan computing kernel support. It is definitely a possibility and there is a path to do that.
- What’s New in TensorFlow 2.10?
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[Technical Article] OCR Upgrade
As the leading open-source inference framework in China and in the world, what we like are its almost zero cost cross-platform capability, high inference speed, and minimal deployment volume. (Project address: https://github.com/Tencent/ncnn)
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Is there a functioning neural netowork or backbone written in pure C language only?
If you’re not planning on training the neural net on an embedded device and just do inference, this might interest you: https://github.com/Tencent/ncnn
aitrack
Posts with mentions or reviews of aitrack.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-04.
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How to get ACC head tracking with a webcam in Linux
Additionally you can use https://github.com/AIRLegend/aitrack to get good head tracking and you don't need to run it with the same WINE prefix, since it uses UDP to communicate. Just run it casually from your OS (via WINE for example). But OpenTrack still need to run in the same WINE prefix ofc.
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Forklift operator plays FS22, pristine pallet stacking ensues
Software to setup a camera with head tracking https://github.com/AIRLegend/aitrack
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What is the best way to learn the hornet?
For rudimentary head tracking, you can use a webcam with AiTrack.
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Which would you choose?
If you have a decently modern phone you can get the smoothtrack app on your phone for $10. You can use that as an input for opentrack. I've been using that for a while, and it seems to be working well. Apparently you can also use a regular webcam in opentrack using aitrack, but I haven't personally used it so I can't vouch for how well it works.
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finally trying out dcs are these good starter things to buy I don't mind spending a lot since I know that I will like the game
I would use ai track (https://github.com/AIRLegend/aitrack) instead of a track ir system since it only uses a decent webcam and in my experience is pretty reliable.
- What to know when first getting into gliding?
- Headtracker(OpenTrack) conflicting with EAC.
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Fugal ¢itizen - SmoothTrack Head Tracking for $10
OpenTrack plus AITrack is 100% free. If you don't have a webcam, toss in DroidCam for Android/iOS and use your smartphone.
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F-18 cockpit Jitter FacetrackNoIR
run opentrack https://github.com/opentrack/opentrack/releases to get the curves and mapping and aitrack https://github.com/AIRLegend/aitrack for head tracking. 200% better for me.
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opentrack (EDTracker)... No way to get this working? Really?
I use AITrack to use a webcam to read my face. This means that the only peripheral I need is a webcam, no other headsets or hats.
What are some alternatives?
When comparing ncnn and aitrack you can also consider the following projects:
XNNPACK - High-efficiency floating-point neural network inference operators for mobile, server, and Web
opentrack - Head tracking software for MS Windows, Linux, and Apple OSX
rife-ncnn-vulkan - RIFE, Real-Time Intermediate Flow Estimation for Video Frame Interpolation implemented with ncnn library
FOXTracker - Facial Head Pose Tracker for Gaming
deepdetect - Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
librealsense - Intel® RealSense™ SDK
netron - Visualizer for neural network, deep learning and machine learning models
MSFS-Mobile-Companion-App - Mobile Companion App for MSFS 2020
darknet - Convolutional Neural Networks
msfs2020-go - connect to microsoft flight simulator 2020 using golang
RPi_64-bit_Zero-2-image - Raspberry Pi Zero 2 W 64-bit OS image with OpenCV, TensorFlow Lite and ncnn Framework.
timewarrior - Timewarrior - Commandline Time Tracking and Reporting