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barcode_detection_benchmark

Code for paper "New Benchmarks for Barcode Detection using both Synthetic and Real Data" https://link.springer.com/chapter/10.1007%2F978-3-030-57058-3_34

barcode_detection_dataset

Collection of Barcode's Detection Dataset In YoLo format.

chatgpt-on-wechat

clrnet

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

clrnet-onnxruntime-and-tensorrt-demo

This is the onnxruntime and tensorrt inference code for CLRNet: Cross Layer Refinement Network for Lane Detection (CVPR 2022). Official code: https://github.com/hongyliu/CLRNet

correspondence_rviz_plugin

RViz plugin to display lines between point correspondences in two point clouds.

dbnet_torch

you can use dbnet to detect word or bar code,Knowledge Distillation is provided,also python tensorrt inference is provided.

direct_visual_lidar_calibration

A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]

lanenetros

Ros node to use LaneNet to detect the lane in camera

lidar_camera_calibration

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

onnx-tensorrt

ONNX-TensorRT: TensorRT backend for ONNX

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

rotationconverter

Simple HTML+JS page to convert between different 3D rotation formats, quaternion, Rodrigues angles, etc.

tensorrt-alpha

🔥🔥🔥TensorRT-Alpha supports YOLOv8、YOLOv7、YOLOv6、YOLOv5、YOLOv4、v3、YOLOX、YOLOR...🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎It also supports end2end CUDA C acceleration and multi-batch inference.

tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API,all to tensorrt model format

test01

test

trt_ultra_fast_lane_detect

ultra-fast-lane-detection

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

vehicle-cv-adas

This project is becoming a reality using only vision sensors. using YOLOv5 / YOLOv5-lite / YOLOv8 and Ultra-Fast-Lane-Detection-v2 .

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite