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20 search results found

Ultra Light Fast Generic Face Detector 1mb ⭐ 6,912

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

Nanodet ⭐ 5,416

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

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 performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts

Lite.ai.toolkit ⭐ 3,319

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOv5, YOLOX, YOLOP, YOLOv6, YOLOR, MODNet, YOLOX, YOLOv7, YOLOv8. MNN, NCNN, TNN, ONNXRuntime.

Yolov5 Lite ⭐ 1,975

🍅🍅🍅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~

Mobilenet Yolo ⭐ 1,678

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

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。

Stable Diffusion Ncnn ⭐ 701

Stable Diffusion in NCNN with c++, supported txt2img and img2img

Ai.deploy.box ⭐ 287

A toolbox for deep learning model deployment using C++ YoloX | YoloV7 | YoloV8 | Gan | OCR | MobileVit | Scrfd | MobileSAM

Embedded Ai.bench ⭐ 124

benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.

Inferencehelper ⭐ 119

C++ Helper Class for Deep Learning Inference Frameworks: TensorFlow Lite, TensorRT, OpenCV, OpenVINO, ncnn, MNN, SNPE, Arm NN, NNabla, ONNX Runtime, LibTorch, TensorFlow

Rpi Image ⭐ 113

Raspberry Pi 4 Buster 64-bit OS with deep learning examples

Rvm Inference ⭐ 100

🔥Robust Video Matting C++ inference toolkit with ONNXRuntime、MNN、NCNN and TNN, via lite.ai.toolkit.

Jetson Nano Image ⭐ 65

Jetson Nano image with deep learning frameworks

Draggan Ncnn ⭐ 37

DragGan in NCNN with c++

Qengineering ⭐ 25

Machine vision apps

Model Inference Deployment ⭐ 21

A curated list of awesome inference deployment framework of artificial intelligence models.

Inferencehelper_sample ⭐ 7

Sample projects for InferenceHelper, a Helper Class for Deep Learning Inference Frameworks: TensorFlow Lite, TensorRT, OpenCV, ncnn, MNN, SNPE, Arm NN, NNabla, ONNX Runtime, LibTorch, TensorFlow

Netron Vscode Extension ⭐ 6

☕️ A vscode extension for netron, support *.pdmodel, *.nb, *.onnx, *.pb, *.h5, *.tflite, *.pth, *.pt, *.mnn, *.param, etc.

Nanodet.lite.ai.toolkit ⭐ 5

🍅🍅NanoDet、NanoDet-Plus with ONNXRuntime/MNN/TNN/NCNN C++. (https://github.com/DefTruth/lite.ai.toolkit)

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