Pinned Repositories
3D-Multi-Object-Tracker
A project for 3D multi-object tracking on KITTI dataset
3d-vehicle-tracking
Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)
A-LOAM
Advanced implementation of LOAM
graphslam
graphslam
KITTI_Mapping
Tutorial on Autonomous Vehicles' mapping algorithm with Occupancy Grid Map and Dynamic Grid Map using KITTI Dataset
OpenPCDet
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
PyGraphSLAM
Python implementation of Graph SLAM
PythonRobotics
Python sample codes for robotics algorithms.
WorstCaseStack
This program is used to do static stack analysis on C source code to determine the worst case stack usage for each function
YOLO_tensorflow
tensorflow implementation of 'YOLO : Real-Time Object Detection'
lzypoiuy's Repositories
lzypoiuy/Ai-Learn
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
lzypoiuy/Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
lzypoiuy/awesome-radar-perception
A curated list of radar datasets, detection, tracking and fusion
lzypoiuy/BEV-Perception
Bird's Eye View Perception
lzypoiuy/BEVFormer
[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.
lzypoiuy/BEVPerception-Survey-Recipe
Awesome BEV perception papers and cookbook for achieving SOTA results
lzypoiuy/Caption-Anything
Caption-Anything is a versatile tool combining image segmentation, visual captioning, and ChatGPT, generating tailored captions with diverse controls for user preferences. https://huggingface.co/spaces/TencentARC/Caption-Anything https://huggingface.co/spaces/VIPLab/Caption-Anything
lzypoiuy/coordTransform_py
提供百度坐标系(bd-09)、火星坐标系(国测局坐标系、gcj02)、WGS84坐标系直接的坐标互转，也提供了解析高德地址的方法的python版本
lzypoiuy/DriveLikeAHuman
Drive Like a Human: Rethinking Autonomous Driving with Large Language Models
lzypoiuy/dynablox
Real-time detection of diverse dynamic objects in complex environments.
lzypoiuy/ERASOR
Official page of ERASOR (Egocentric Ratio of pSeudo Occupancy-based Dynamic Object Removal), which is accepted @ RA-L'21 with ICRA'21
lzypoiuy/gcoord
地理坐标系转换工具
lzypoiuy/Grounded-Segment-Anything
Marrying Grounding DINO with Segment Anything & Stable Diffusion & Tag2Text & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs
lzypoiuy/InstantID
InstantID : Zero-shot Identity-Preserving Generation in Seconds 🔥
lzypoiuy/Learning-Deep-Learning
Paper reading notes on Deep Learning and Machine Learning
lzypoiuy/LiDAR_SOT
lzypoiuy/Livox-SDK
Drivers for receiving LiDAR data and more, support Lidar Mid-40, Mid-70, Tele-15, Horizon, Avia.
lzypoiuy/livox_wiki_cn
livox wiki cn
lzypoiuy/mht
Python implementation of the Multiple Hypothesis Tracking algorithm
lzypoiuy/RadarHD
High resolution point clouds from mmWave radar
lzypoiuy/RadarOcc
[NeurIPS 2024] RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar
lzypoiuy/RADIal
lzypoiuy/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.
lzypoiuy/software
Companion software for Introduction to Radar Using Python and MATLAB
lzypoiuy/Sparse-Beats-Dense
[ECCV 2024] Sparse Beats Dense: Rethinking Supervision in Radar-Camera Depth Completion
lzypoiuy/steam_icp
lzypoiuy/Stone-Soup
A software project to provide the target tracking community with a framework for the development and testing of tracking algorithms.
lzypoiuy/TJ4DRadSet
TJ4DRadSet: A 4D Radar Dataset for Autonomous Driving
lzypoiuy/Track-Anything
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
lzypoiuy/TTTGAN
Three to Two 3D point cloud to 2D depth image