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

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.

超ちょう轻量级中文ぶんocr，支持しじ竖排文字もじ识别, 支持しじncnn、mnn、tnn推理すいり ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型がた仅4.7M

Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都と简单方便ほうべん的てき使用しよう前ぜん沿人工じんこう智能ちのう技わざ术

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

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

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

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

2^x Image Super-Resolution

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and …

🛠 A lite C++ toolkit of awesome AI models, support ONNXRuntime, MNN. Contains YOLOv5, YOLOv6, YOLOX, YOLOR, FaceDet, HeadSeg, HeadPose, Matting etc. Engine: ONNXRuntime, MNN.

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

OpenMMLab Model Deployment Framework

Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

带你从零实现一个高性能的深度学习推理库，支持しじ大だい模型もけい llama2 、Unet、Yolov5、Resnet等とう模型もけい的てき推理すいり。Implement a high-performance deep learning inference library step by step

🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~

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

🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移うつり动端ncnn部署ぶしょ，支持しじAndroid与あずかiOS。

NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

Add bisenetv2. My implementation of BiSeNet