Topic: "drivable-area-segmentation"
hustvl/YOLOP
You Only Look Once for Panopitic Driving Perception.（MIR2022）
Language: Python - Size: 137 MB - Last synced at: 19 days ago - Pushed at: over 1 year ago - Stars: 2,012 - Forks: 424
hpc203/YOLOP-opencv-dnn
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。
Language: Python - Size: 27.9 MB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 282 - Forks: 63
hpc203/yolopv2-opencv-onnxrun-cpp-py
分别使用OpenCV、ONNXRuntime部署YOLOPV2目标检测+可驾驶区域分割+车道线分割，一共包含54个onnx模型，依然是包含C++和Python两个版本的程序。仅仅只依赖OpenCV就能运行，彻底摆脱对任何深度学习框架的依赖。
Language: C++ - Size: 398 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 75 - Forks: 7
christofel04/4D-LATTE-4D-Radar-Drivable-Area-Automatic-Labelling-using-Advanced-Deep-Learning
First 4D Radar Automatic Labelling tools using Segment Anything (SA) drivable area segmentation on camera and DA Detection using LiDAR using Deep Learning for Autonomous Vehicle
Language: Python - Size: 104 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 6 - Forks: 2
christofel04/Argoverse-API-and-Visualization-for-3D-Drivable-Road-Detection
Argoverse API for manipulating Argoverse 1 and Argoverse 2 Dataset for 3D Drivable Area Detection using LiDAR
Language: Jupyter Notebook - Size: 131 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
balnarendrasapa/road-detection
This is a course project for DSCI-6011 - Deep Learning. deals with Drivable Area and lane segmentation for self driving cars
Language: Jupyter Notebook - Size: 181 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1
harrylal/TwinLiteNet-onnxruntime
Perform inference with TwinLiteNet model using ONNX Runtime. TwinLiteNet is a lightweight and efficient deep learning model designed for drivable area and lane segmentation
Language: C++ - Size: 2.08 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
harrylal/TwinLiteNet-onnx-opencv-dnn
An easy-to-use implementation for performing inferencing with TwinLiteNet model using OpenCV DNN module. TwinLiteNet is a lightweight and efficient deep learning model designed for drivable area and lane segmentation
Language: C++ - Size: 1.38 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
hpc203/hybridnets-opencv-dnn
使用OpenCV部署HybridNets，同时处理车辆检测、可驾驶区域分割、车道线分割，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， 彻底摆脱对任何深度学习框架的依赖。
Language: C++ - Size: 0 Bytes - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0