ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform (by Tencent)
rife-ncnn-vulkan
RIFE, Real-Time Intermediate Flow Estimation for Video Frame Interpolation implemented with ncnn library (by nihui)
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| ncnn | rife-ncnn-vulkan | |
|---|---|---|
| 12 | 12 | |
| 19,125 | 739 | |
| 1.6% | - | |
| 9.4 | 0.0 | |
| 3 days ago | 4 months 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.
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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.
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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
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Deep Learning options on Radeon RX 6800
There's a Tencent-developed Open Source CNN library that runs on pretty much anything, as it's using Vulkan. It's called ncnn, you might want to take a look.
rife-ncnn-vulkan
Posts with mentions or reviews of rife-ncnn-vulkan.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-02.
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SD + VS Code + GitHub Codespaces = very portable dev environment
Messing around with https://github.com/nihui/rife-ncnn-vulkan
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rife-ncnn-vulkan VS FluidFrames.RIFE - a user suggested alternative
2 projects | 4 Feb 2023
- Stable Diffusion on AMD RDNA™ 3 Architecture
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Best Option for Large Digital Wall Display?
Compressing the videos has become quite a project that involves the seed_travel script, a little imagemagick, upscaling with realSR, an absolute ton of interpolation with RIFE, and the swiss army knife of video tools, ffmpeg.
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Short interpolation animation between several frames?
not SD based, but maybe this helps? https://github.com/nihui/dain-ncnn-vulkan https://github.com/nihui/rife-ncnn-vulkan
- Are you guys interested in a vid2vid?
- Film: Frame Interpolation for Large Motion
What are some alternatives?
When comparing ncnn and rife-ncnn-vulkan you can also consider the following projects:
flowframes - Flowframes Windows GUI for video interpolation using DAIN (NCNN) or RIFE (CUDA/NCNN)
dain-ncnn-vulkan - DAIN, Depth-Aware Video Frame Interpolation implemented with ncnn library
XNNPACK - High-efficiency floating-point neural network inference operators for mobile, server, and Web
deepdetect - Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
netron - Visualizer for neural network, deep learning and machine learning models
darknet - Convolutional Neural Networks
srmd-ncnn-vulkan - SRMD super resolution implemented with ncnn library
realsr-ncnn-vulkan - RealSR super resolution implemented with ncnn library
torch-mlir - The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
RPi_64-bit_Zero-2-image - Raspberry Pi Zero 2 W 64-bit OS image with OpenCV, TensorFlow Lite and ncnn Framework.
rocm-build - build scripts for ROCm
vkQuake - Vulkan Quake port based on QuakeSpasm
rife-ncnn-vulkan vs flowframes
rife-ncnn-vulkan vs dain-ncnn-vulkan
ncnn vs XNNPACK
ncnn vs deepdetect
ncnn vs netron
ncnn vs darknet
rife-ncnn-vulkan vs srmd-ncnn-vulkan
rife-ncnn-vulkan vs realsr-ncnn-vulkan
ncnn vs torch-mlir
ncnn vs RPi_64-bit_Zero-2-image
ncnn vs rocm-build
rife-ncnn-vulkan vs vkQuake