ncnn is a high-performance neural network inference framework optimized for the mobile platform

超轻量级中文ocr，支持竖排文字识别, 支持ncnn推理 , dbnet(1.7M) + crnn(6.3M) + anglenet(1.5M) 总模型仅10M

💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

Deep Learning API and Server in C++11 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Image, GIF and Video enlarger/upscaler(super-resolution) achieved with Waifu2x, SRMD, RealSR, Anime4K and ACNet.

A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018.

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥

waifu2x converter ncnn version, runs fast on intel / amd / nvidia GPU with vulkan

face detection

AoE (AI on Edge，终端智能，边缘计算) 是一个终端侧AI集成运行时环境 (IRE)，帮助开发者提升效率。

Generate a quantization parameter file for ncnn framework int8 inference

基于ncnn框架搭建win及android端的MTCNN人脸检测工程

基于insightface训练mobilefacenet的相关步骤及ncnn转换流程

Realtime Face Detection and Head pose estimation on Windows、Ubuntu、Mac、Android and iOS

PFLD pytorch Implementation

RealSR super resolution implemented with ncnn library

implementation of ncnn's mobileFacenet

加入关键点的darknet训练框架，轻量级的人脸检测，支持ncnn推理

SRMD super resolution implemented with ncnn library

Darknet2ncnn converts the darknet model to the ncnn model

yoloface大礼包 使用pytroch实现的基于yolov3的轻量级人脸检测（包含关键点）

simple android demo.mobilefacenet.ncnn

It is a mtcnn project based on ncnn

🍅 移动端目标检测Object detection，使用YOLOv5s与YOLOv4-tiny模型，支持iOS、Android，使用NCNN框架。

😎 A Collection of Awesome NCNN-based Projects

PCN based on ncnn framework.

YOLOv5 C++ Implementation on Android using NCNN framework

The benchmark of ncnn that is a high-performance neural network inference framework optimized for the mobile platform

基于ncnn的face-landmark