yongjingli's repositories
Anchor3DLane_liyj
Official PyTorch implementation for paper`Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection' accepted by CVPR 2023
BEVFormer-liyj
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
BEVFormer_tensorrt_liyj
BEVFormer inference on TensorRT, including INT8 Quantization and Custom TensorRT Plugins (float/half/half2/int8).
diffusion-models-class_liyj
Materials for the Hugging Face Diffusion Models Course
Fast-BEV_liyj
Fast-BEV: A Fast and Strong Bird’s-Eye View Perception Baseline
fast-reid
SOTA Re-identification Methods and Toolbox
FastSAM
Fast Segment Anything
FB-BEV-liyj
FB-BEV and FB-OCC are vision-centric autonomous driving perception algorithm based on forward-backward view transformation strtegies.
LATR_liyj
[ICCV2023 Oral] LATR: 3D Lane Detection from Monocular Images with Transformer
MapTR_liyj
[ICLR'23 Spotlight] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
mmdetection3d-liyj
OpenMMLab's next-generation platform for general 3D object detection.
mmdetection_liyj
OpenMMLab Detection Toolbox and Benchmark
mmsegmentation-liyj
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
mmyolo_liyj
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
OpenLane-V2-liyj
[NeurIPS 2023 Track Datasets and Benchmarks] OpenLane-V2: The First Perception and Reasoning Benchmark for Road Driving
ORB_SLAM3_liyj
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
PoinTr_liyj
[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
PythonRobotics-liyj
Python sample codes for robotics algorithms.
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.
SurroundOcc-liyj
[ICCV 2023] SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving
Tracking-Anything-with-DEVA-liyj
[ICCV 2023] Tracking Anything with Decoupled Video Segmentation
VINS-Fusion-liyj
An optimization-based multi-sensor state estimator
VIW-Fusion
Visual-inertial-wheel fusion odometry, better performance in scenes with drastic changes in light
yolov10_liyj
YOLOv10: Real-Time End-to-End Object Detection
yolov7-face_liyj
yolov7 face detection with landmark