NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
-
Updated
Aug 8, 2024 - Python
GeezerVisonThe World Wide Web, restored to 800 pixels of glory. |
| Home|About|Gaming cabinet|Archives|How it works|Starter sites |
GeezerVison is showing github.com — Build software better, together
#
nanodetHere are 32 public repositories matching this topic...Language: All
Filter by language
Sort: Most stars
Sort options
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
android deep-neural-networks deep-learning model-zoo pytorch object-detection mnn shufflenet ncnn openvino anchor-free efficientnet nanodet repvgg nanodet-plus
🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署,支持Android与iOS。
android ios detection yolo dbface object-detection mobilenet openpose ncnn yolov3 yolact mobilenetv3 yolov4 yolov5 simple-pose chineseocr-lite landmark106 nanodet yolofastest
awesome AI models with NCNN, and how they were converted ✨✨✨
Deploy nanodet, the super fast and lightweight object detection, in your web browser with ncnn and webassembly
firefox chrome cross-platform neural-network webassembly artificial-intelligence edge object-detection ncnn nanodet
用opencv部署nanodet目标检测,包含C++和Python两种版本程序的实现
QuarkDet lightweight object detection in PyTorch .Real-Time Object Detection on Mobile Devices.
pytorch object-detection pan mosaic fpn shufflenetv2 fcos mobilenetv3 efficientdet bifpn ghostnet nanodet quarkdet
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.)
ssd face-recognition multi-object-tracking mot person-reidentification tracking-by-detection centernet mediapipe efficientdet nanodet motpy norfair yolox face-reidentification bytetrack
NanoDet、NanoDet-Plus with ONNXRuntime/MNN/TNN/NCNN C++.
NanoDet: Tiny Object Detection for TFJS and NodeJS
NanoDet for a bare Raspberry Pi 4
raspberry-pi deep-learning raspberry aarch64 ncnn ncnn-model raspberry-pi-4 raspberry-pi-64-os nanodet orange-pi-5 rock-pi-5 rock-5
A collection of some awesome public Anchor-Free object detection series projects.
transformer yolo attention object-detection cornernet fcos anchor-free centernet yolov5 detr nanodet yolox yolov7
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)
docker images for training, mining and infer for ymir
Add this topic to your repoTo associate your repository with the nanodet topic, visit your repo's landing page and select "manage topics." |
| You are visitor 01402503 — GeezerVison does not store the pages you look up. Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required. |