ncnn
RPi_64-bit_Zero-2-image
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| ncnn | RPi_64-bit_Zero-2-image | |
|---|---|---|
| 12 | 3 | |
| 19,176 | 24 | |
| 1.8% | - | |
| 9.4 | 0.0 | |
| 5 days ago | about 2 years ago | |
| C++ | ||
| GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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ncnn
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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
RPi_64-bit_Zero-2-image
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One year on, 64-bit vs 32-bit OS
For Zero 2, with 64-bit you are trading (somewhat) increased performance for available memory. So, really, the choice should depend on what you need more of.
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Building a compact Pi cluster
the 64-bit performance of Bullseye on the Pi Zero 2 W may not be ideal and I may need to rebuild with 32-bit on the nodes
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Install A Raspberry Pi Zero 2 64-bit OS Buster with OpenCV, TensorFlow Lite and ncnn
They helpfully pre-rolled an image on their github with additional instructions here https://github.com/Qengineering/RPi_64-bit_Zero-2-image
What are some alternatives?
XNNPACK - High-efficiency floating-point neural network inference operators for mobile, server, and Web
YOLOX - YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
rife-ncnn-vulkan - RIFE, Real-Time Intermediate Flow Estimation for Video Frame Interpolation implemented with ncnn library
Waifu2x-Extension-GUI - Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.
deepdetect - Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
ReactionGame - An OpenCV and C++ based Mini-game
netron - Visualizer for neural network, deep learning and machine learning models
Jetson-Nano-Ubuntu-20-image - Jetson Nano with Ubuntu 20.04 image
darknet - Convolutional Neural Networks
dandere2x-tremx - Dandere2x Tremx implementation / flavor. Unmaintained and broken WONTFIX, my focus is on my other project MMV. Please use akai-katto's mainstream dandere2x instead, it's better in many aspects. This was my first serious Python project, learned a lot from it.
torch-mlir - The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
iTerm2 - iTerm2 is a terminal emulator for Mac OS X that does amazing things.