Topic: nanodet Goto Github
Some thing interesting about nanodet
Some thing interesting about nanodet
nanodet,Some Nanodet trained models
User: ankandrew
nanodet,awesome AI models with NCNN, and how they were converted ✨✨✨
User: baiyuetribe
Home Page: https://github.com/Baiyuetribe/ncnn-models
nanodet,This repo is implemented based on detectron2
User: chhanxiao
nanodet, A collection of some awesome public Anchor-Free object detection series projects.
User: codingonion
nanodet, Navigation software for autonomous robot. Real-time object detection using high-performance neural network inference computing framework. To communicate with microcontroller, text-based bluetooth communication. Progress of the roboter is shown on Website: We communicate with the server using websockets https://github.com/cyrillkuettel/rover/
User: cyrillkuettel
nanodet,🛠 A lite C++ toolkit of awesome AI models, support ONNXRuntime, MNN. Contains YOLOv5, YOLOv6, YOLOX, YOLOR, FaceDet, HeadSeg, HeadPose, Matting etc. Engine: ONNXRuntime, MNN.
User: deftruth
Home Page: https://github.com/DefTruth/lite.ai.toolkit
nanodet,🍅🍅NanoDet、NanoDet-Plus with ONNXRuntime/MNN/TNN/NCNN C++. (https://github.com/DefTruth/lite.ai.toolkit)
User: deftruth
nanodet,用opencv部署nanodet目标检测,包含C++和Python两种版本程序的实现
User: hpc203
nanodet,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.)
User: kazuhito00
nanodet,NanoDetをGoogle Colaboratory上で訓練しONNX形式のファイルをエクスポートするサンプル(This is a sample to training NanoDet on Google Colaboratory and export a file in ONNX format)
User: kazuhito00
nanodet,NanoDetのPythonでのONNX推論サンプル
User: kazuhito00
nanodet,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!
User: l-sf
nanodet,Implemented the prediction inference process of the NANODET model in ONNX format and TFLite format
User: lanpingtech
nanodet,Deploy nanodet, the super fast and lightweight object detection, in your web browser with ncnn and webassembly
User: nihui
Home Page: https://nihui.github.io/ncnn-webassembly-nanodet/
nanodet,NanoDet for Jetson Nano
User: qengineering
Home Page: https://qengineering.eu/deep-learning-examples-on-raspberry-32-64-os.html
nanodet,NanoDet for a bare Raspberry Pi 4
User: qengineering
Home Page: https://qengineering.eu/deep-learning-examples-on-raspberry-32-64-os.html
nanodet,NanoDet with tracking for a bare Raspberry Pi 4 using ncnn.
User: qengineering
Home Page: https://qengineering.eu/deep-learning-examples-on-raspberry-32-64-os.html
nanodet,NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
User: rangilyu
nanodet,Nanodet, NanodetPlus, Yolov5, Yolov6, Yolov7, MobileSSD etc. deployment with ncnn/dnn/mnn/SNPE/mace/Torch onto Android
User: riskycheng
nanodet,QuarkDet lightweight object detection in PyTorch .Real-Time Object Detection on Mobile Devices.
User: shaoshengsong
nanodet,NanoDet: Tiny Object Detection for TFJS and NodeJS
User: vladmandic
nanodet,手把手教你OpenVINO下部署NanoDet模型,intel i7-7700HQ CPU实测6ms一帧
User: wulingtian
nanodet,nanodet int8 量化,实测推理2ms一帧!
User: wulingtian
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