⚡️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.
android
graphcore
intel
jetson
kunlun
object-detection
onnx
onnxruntime
openvino
picodet
rockchip
serving
stable-diffusion
tensorrt
uie
yolov5
yolov8
Updated 2025-09-26 11:25:23 +08:00
使用OpenCV部署全景驾驶感知网络YOLOP，可同时处理交通目标检测、可驾驶区域分割、车道线检测，三项视觉感知任务，包含C++和Python两种版本的程序实现。本套程序只依赖opencv库就可以运行， 从而彻底摆脱对任何深度学习框架的依赖。
object-detection
opencv
opencv-dnn
autonomous-driving
drivable-area-segmentation
lane-lines-detection
yolop
Updated 2022-03-11 09:42:27 +08:00