york1225yy

york1225yy's Stars

• cardwing/Codes-for-Lane-Detection

  Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)

  Language:Lua1k334

• voldemortX/pytorch-auto-drive

  PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help

  Language:Python845138

• MaybeShewill-CV/lanenet-lane-detection

  Unofficial implemention of lanenet model for real time lane detection

  Language:Python2.4k885

• amusi/awesome-lane-detection

  A paper list of lane detection.

  2.9k774

• Turoad/CLRNet

  Pytorch implementation of our paper "CLRNet: Cross Layer Refinement Network for Lane Detection" (CVPR2022 Acceptance).

  Language:Python488107

• cfzd/Ultra-Fast-Lane-Detection

  Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

  Language:Python1.8k494

• cfzd/Ultra-Fast-Lane-Detection-v2

  Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification (TPAMI 2022)

  Language:Python60299

• orocos/orocos_kinematics_dynamics

  Orocos Kinematics and Dynamics C++ library

  Language:C++694407

• pal-robotics/aruco_ros

  Software package and ROS wrappers of the Aruco Augmented Reality marker detector library

  Language:C++463311

• IntelRealSense/realsense-ros

  ROS Wrapper for Intel(R) RealSense(TM) Cameras

  Language:Python2.6k1.8k

• fishros/handeye-calib

  基于ROS的手眼标定

  Language:Python9023

• moveit/moveit_calibration

  Hand-eye calibration tools for robot arms.

  Language:C++13578

• PaddlePaddle/awesome-DeepLearning

  深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

  Language:Jupyter Notebook3.1k837

• gengyanlei/fire-smoke-detect-yolov4

  fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测

  Language:Jupyter Notebook1.3k298

• facebookresearch/dinov2

  PyTorch code and models for the DINOv2 self-supervised learning method.

  Language:Jupyter Notebook9.1k801

• facebookresearch/dino

  PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

  Language:Python6.3k910

• IDEA-Research/GroundingDINO

  [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

  Language:Python6.6k675

• IDEA-Research/Grounded-Segment-Anything

  Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

  Language:Jupyter Notebook15k1.4k

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32k4.7k

• z1069614715/objectdetection_script

  一些关于目标检测的脚本的改进思路代码，详细请看readme.md

  Language:Python5.3k476

• gyhdc/LabelSAM-for-yolo

  简易的yolo半自动标注库，目前只支持单目标。如果数据集图片背景复杂，可能工作量不比直接标的小，因为sam是通用的分割模型。但是可以适当通过调整参数修改。

  Language:Python13115

• midasklr/yolov5ncnn

  ncnn of yolov5 v5.0 branch

  Language:C++8515

• midasklr/yolov5prune

  Language:Python553113

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook47.3k5.6k

• SoftEtherVPN/SoftEtherVPN

  Cross-platform multi-protocol VPN software. Pull requests are welcome. The stable version is available at https://github.com/SoftEtherVPN/SoftEtherVPN_Stable.

  Language:C11.6k2.6k

• getlantern/lantern

  Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 - Быстрый, надежный и безопасный доступ к открытому интернету - lantern proxy vpn censorship-circumvention censorship gfw accelerator پراکسی لنترن، ضدسانسور، امن، قابل اعتماد و پرسرعت

  Language:Go14.6k11.3k

• getcursor/cursor

  The AI Code Editor

  24.7k1.5k

• CAIC-AD/YOLOPv2

  YOLOPv2: Better, Faster, Stronger for Panoptic driving Perception

  Language:Python55271

• 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++708

• hustvl/YOLOP

  You Only Look Once for Panopitic Driving Perception.（MIR2022）

  Language:Python1.9k413