Showing 12 open source projects for "ncnn"

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  • 1
    ncnn

    ncnn

    High-performance neural network inference framework for mobile

    ncnn is a high-performance neural network inference computing framework designed specifically for mobile platforms. It brings artificial intelligence right at your fingertips with no third-party dependencies, and speeds faster than all other known open source frameworks for mobile phone cpu. ncnn allows developers to easily deploy deep learning algorithm models to the mobile platform and create intelligent APPs.
    Downloads: 19 This Week
    Last Update:
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  • 2
    waifu2x ncnn Vulkan

    waifu2x ncnn Vulkan

    waifu2x converter ncnn version, run fast GPU with vulkan

    ncnn implementation of waifu2x converter. Runs fast on Intel/AMD/Nvidia/Apple-Silicon with Vulkan API. waifu2x-ncnn-vulkan uses ncnn project as the universal neural network inference framework.
    Downloads: 9 This Week
    Last Update:
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  • 3
    Real-ESRGAN GUI

    Real-ESRGAN GUI

    Cross-platform GUI for image upscaler Real-ESRGAN

    The graphic interface of Real-ESRGAN, a practical and beautiful image magnification tool, refers to the design of waifu2x-caffe. This program is a graphical interface of Real-ESRGAN's command line program Real-ESRGAN-ncnn-vulkan , written in Python and tkinter, and supports Windows, Ubuntu and macOS platforms. According to actual measurements, arm64the single-architecture performance is better than universal2the dual- architecture Mac on the Apple chip, so Apple chip users are advised to pack arm64single-architecture applications by themselves. Real-ESRGAN can only enlarge the input image with a fixed 2-4x magnification (related to the selected model). ...
    Downloads: 114 This Week
    Last Update:
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  • 4
    Upscayl

    Upscayl

    Free and Open Source AI Image Upscaler for Linux, MacOS and Windows

    ...Upscayl uses AI models to enhance your images by guessing what the details could be. It uses Real-ESRGAN (and more in the future) model to achieve this. The CLI tool is called real-esrgan-ncnn-vulkan and it's available on the Real-ESRGAN repository.
    Downloads: 135 This Week
    Last Update:
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  • 5
    Netron

    Netron

    Visualizer for neural network, deep learning, machine learning models

    Netron is a viewer for neural network, deep learning and machine learning models. Netron supports ONNX, Keras, TensorFlow Lite, Caffe, Darknet, Core ML, MNN, MXNet, ncnn, PaddlePaddle, Caffe2, Barracuda, Tengine, TNN, RKNN, MindSpore Lite, and UFF. Netron has experimental support for TensorFlow, PyTorch, TorchScript, OpenVINO, Torch, Arm NN, BigDL, Chainer, CNTK, Deeplearning4j, MediaPipe, ML.NET, scikit-learn, TensorFlow.js. There is an extense variety of sample model files to download or open using the browser version. ...
    Downloads: 53 This Week
    Last Update:
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  • 6
    Waifu2x-Extension-GUI

    Waifu2x-Extension-GUI

    Photo/Video/GIF enlargement using machine learning

    Image & GIF & Video Super-Resolution using Deep Convolutional Neural Networks. Built-in image processing algorithm: Waifu2x / SRMD / RealSR / Anime4K / ACNet Built-in image processing engine: Waifu2x-caffe / Waifu2x-converter / Waifu2x-ncnn-vulkan / SRMD-ncnn-vulkan / RealSR-ncnn-vulkan / Anime4KCPP Github: https://github.com/AaronFeng753/Waifu2x-Extension-GUI
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    Downloads: 627 This Week
    Last Update:
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  • 7
    NanoDet-Plus

    NanoDet-Plus

    Lightweight anchor-free object detection model

    ...We also introduce a light feature pyramid called Ghost-PAN to enhance multi-layer feature fusion. These improvements boost previous NanoDet's detection accuracy by 7 mAP on COCO dataset. NanoDet provide multi-backend C++ demo including ncnn, OpenVINO and MNN. There is also an Android demo based on ncnn library. Supports various backends including ncnn, MNN and OpenVINO. Also provide Android demo based on ncnn inference framework.
    Downloads: 8 This Week
    Last Update:
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  • 8
    enhancr

    enhancr

    Video Frame Interpolation & Super Resolution using NVIDIA's TensorRT

    ...It features blazing-fast TensorRT inference by NVIDIA, which can speed up AI processes significantly. Pre-packaged, without the need to install Docker or WSL (Windows Subsystem for Linux) - and NCNN inference by Tencent which is lightweight and runs on NVIDIA, AMD and even Apple Silicon - in contrast to the mammoth of an inference PyTorch is, which only runs on NVIDIA GPUs.
    Downloads: 23 This Week
    Last Update:
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  • 9
    Real-ESRGAN Video Enhance

    Real-ESRGAN Video Enhance

    Real-ESRGAN video upscaler with resumability

    REVE (Real-ESRGAN Video Enhance) is a small, fast application written in Rust that is used for upscaling animated video content. It utilizes Real-ESRGAN-can-Vulkan, FFmpeg and MediaInfo under the hood. REVE employs a segment-based approach to video upscaling, allowing it to simultaneously upscale and encode videos. This results in a notable enhancement in performance and enables the feature of reusability. You can download Windows executable file for Intel/AMD/Nvidia GPU. This executable...
    Downloads: 8 This Week
    Last Update:
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  • 10
    Real-ESRGAN ncnn Vulkan

    Real-ESRGAN ncnn Vulkan

    NCNN implementation of Real-ESRGAN

    Real-ESRGAN ncnn Vulkan is an optimized, cross-platform implementation of Real-ESRGAN using the ncnn neural network inference engine and Vulkan for hardware acceleration. Unlike the standard PyTorch-based Real-ESRGAN code, this variant is written in C/C++ and designed to run efficiently on many platforms (including Windows, Linux, and possibly Android) without requiring heavy frameworks like CUDA or Python.
    Downloads: 60 This Week
    Last Update:
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  • 11
    YOLOX

    YOLOX

    YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5

    YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. YOLOX is an anchor-free version of YOLO, with a simpler design but better performance! It aims to bridge the gap between research and industrial communities. Prepare your own dataset with images and labels first. For labeling images, you can use tools like Labelme or CVAT. One more thing worth noting is that you should also implement pull_item and load_anno method for the Mosiac and MixUp augmentations. ...
    Downloads: 13 This Week
    Last Update:
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  • 12
    TNN

    TNN

    Uniform deep learning inference framework for mobile

    ...It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's mainstream open source frameworks, and expands the support for X86 and NV GPUs. On the mobile phone, TNN has been used by many applications such as mobile QQ, weishi, and Pitu. As a basic acceleration framework for Tencent Cloud AI, TNN has provided acceleration support for the implementation of many businesses. ...
    Downloads: 0 This Week
    Last Update:
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