mayberpf's starred repositories

TJ4DRadSet

TJ4DRadSet: A 4D Radar Dataset for Autonomous Driving

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SurroundOcc

[ICCV 2023] SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving

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LaTeX-template

LaTeX template for BIT thesis

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LaTeX-materials

LaTeX 学习资料 (for BIT-Thesis)

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OpenCalib

OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

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muti-agent-trajectory-prediction

Work during internship

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YOLOP-E

YOLOP-E: You Only Look Once for Expressway Panoptic Driving Perception

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SensorsCalibration

OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

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cam_lidar_calibration

(ITSC 2021) Optimising the selection of samples for robust lidar camera calibration. This package estimates the calibration parameters from camera to lidar frame.

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Deformable-DETR

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

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deformable-attention

Implementation of Deformable Attention in Pytorch from the paper "Vision Transformer with Deformable Attention"

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CV

✔(已完结)最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】

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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.

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BEV-Perception

Bird's Eye View Perception

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BEVFusion

Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"

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CMT

[ICCV 2023] Cross Modal Transformer: Towards Fast and Robust 3D Object Detection

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image_warping

Image Warpping using homography transformation

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IPM-master

Inverse Perspective Mapping

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simple_bev

A Simple Baseline for BEV Perception

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spconv

Spatial Sparse Convolution Library

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view-of-delft-dataset

This repository shares the documentation and development kit of the View of Delft automotive dataset.

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SegFormer

Official PyTorch implementation of SegFormer

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yolov5-dnn-cpp-python-v2

用opencv的dnn模块做yolov5目标检测,包含C++和Python两个版本的程序,优化后的

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torch2trt

An easy to use PyTorch to TensorRT converter

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