️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.
Updated 2024-09-10 11:29:33 +08:00
具有 OpenCV 和 FFmpeg 的自动车牌识别库的基础图像
Updated 2024-08-19 00:28:20 +08:00
分别使用OpenCV、ONNXRuntime部署NanoDet-Plus,包含C++和Python两个版本的程序
Updated 2024-08-19 00:27:49 +08:00
分别使用OpenCV、ONNXRuntime部署yolov5-v6.1目标检测,包含C++和Python两个版本的程序。支持yolov5s,yolov5m,yolov5l,yolov5n,yolov5x,yolov5s6,yolov5m6,yolov5l6,yolov5n6,yolov5x6的十种结构的yolov5-v6.1
Updated 2024-08-19 00:27:49 +08:00
使用ONNXRuntime部署Detic检测2万1千种类别的物体,包含C++和Python两个版本的程序
Updated 2024-08-19 00:27:49 +08:00
分别使用OpenCV、ONNXRuntime部署FreeYOLO目标检测,总共包含143个onnx模型,有COCO目标检测,人脸检测,密集行人检测的三种检测功能,依然是包含C++和Python两个版本的程序
Updated 2024-08-19 00:27:49 +08:00
The minimal opencv for Android, iOS, ARM Linux, Windows, Linux, MacOS, WebAssembly
Updated 2024-08-19 00:27:43 +08:00
Updated 2024-08-19 00:27:40 +08:00