Found 217 repositories(showing 30)
RangiLyu
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
cmdbug
🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署，支持Android与iOS。
nihui
ncnn android nanodet lightweight object detection
Baiyuetribe
awesome AI models with NCNN, and how they were converted ✨✨✨
使用Nanodet+YoloV8-Pose实现指针仪表的实时检测、高精度读数识别（借助ncnn框架）
guo-pu
基于NanoDet项目进行小裁剪，专门用来实现PyTorch 版本的代码，下载直接能使用，支持图片、视频文件、摄像头实时目标检测。
Deploy nanodet, the super fast and lightweight object detection, in your web browser with ncnn and webassembly
hpc203
分别使用OpenCV、ONNXRuntime部署NanoDet-Plus，包含C++和Python两个版本的程序
用opencv部署nanodet目标检测，包含C++和Python两种版本程序的实现
cmdbug
🥭 移动端MNN部署学习笔记。支持Android与iOS。
FeiGeChuanShu
Android hand detect and pose estimation by ncnn
shaoshengsong
QuarkDet lightweight object detection in PyTorch .Real-Time Object Detection on Mobile Devices.
cmdbug
🍉 移动端TNN部署学习笔记，支持Android与iOS。
Kazuhito00
Tracking-by-Detection形式のMOT(Multi Object Tracking)について、 DetectionとTrackingの処理を分離して寄せ集めたフレームワーク(Tracking-by-Detection method MOT(Multi Object Tracking) is a framework that separates the processing of Detection and Tracking.)
DataXujing
:fire::fire::fire: QT+NCNN实现安卓系统下的AI计算
guo-pu
此代码用于目标检测，模型小，检测速度快速，适合没GPU显卡的嵌入式设备运行，比如“树莓派”、ARM开发板、嵌入式开发板。
d246810g2000
This repository contains rich tensorrt examples such as cifar10, onnx2trt, yolo, nanodet, face recognition, pose estimation.
Wulingtian
手把手教你OpenVINO下部署NanoDet模型，intel i7-7700HQ CPU实测6ms一帧
Wulingtian
nanodet int8 量化，实测推理2ms一帧！
xlite-dev
NanoDet、NanoDet-Plus with ONNXRuntime/MNN/TNN/NCNN C++.
cmdbug
🥕 鸿蒙 ncnn 实现图片识别与摄像头实时识别显示
azureology
real-time fire detection on Jetson Nano 2GB using NanoDet
vladmandic
NanoDet: Tiny Object Detection for TFJS and NodeJS
LZBUAV
ROS中集成各类无人机应用，并全部工程部署至Nvidia Xavier NX2，算法包括：Yolo系列和NanoDet目标检测、KCF和ECO-HC目标跟踪、基于直方图的图像匹配、3D固态面阵激光雷达避障，以及完整的和Ardupilot飞控进行通信的实现。
Wulingtian
No description available
coderonion
A collection of some awesome public Anchor-Free object detection series projects.
Qengineering
NanoDet for a bare Raspberry Pi 4
CPFelix
No description available
Sologala
nanodet_rknn on rk3399pro platform
本仓库在OpenVINO推理框架下部署Nanodet检测算法，并重写预处理和后处理部分，具有超高性能！让你在Intel CPU平台上的检测速度起飞！ 并基于NNCF和PPQ工具将模型量化(PTQ)至int8精度，推理速度更快！