Donhak's repositories

Lidar_AI_Solution-note

A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).

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WidthFormer

WidthFormer: Toward Efficient Transformer-based BEV View Transformation

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vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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futr3d

Code for paper: FUTR3D: a unified sensor fusion framework for 3d detection

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StreamPETR_NOTE

[ICCV 2023] StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

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another-pytorch_note

实现一个PyTorch框架

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mmyolo

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

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deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

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PETR-note

[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

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CMT_NOTE

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

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pillarnext_NOTE

PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 2023)

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pytorch-diffusion-note

pytorch复现stable diffusion

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PointPillars

A Simple PointPillars PyTorch Implenmentation for 3D Lidar(KITTI) Detection.

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tensorrt-tutorial

tensorrt部署教程

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detr-annotations

detr官方源码中文注释版!

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detr

End-to-End Object Detection with Transformers

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DeepLearningSystem

Deep Learning System core principles introduction.

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YOLOv8

:fire: Official YOLOv8模型训练和部署

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deformable-detr-annotations

一个deformable-detr的中文注释版本,供大家参考学习(A Chinese annotated version of deformable-detr)

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Complex-YOLOv4-Pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

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Off-Road-Freespace-Detection

Official implementation of our ICRA'22 paper: ORFD: A Dataset and Benchmark for Off-Road Freespace Detection

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30dayMakeCppServer

30天自制C++服务器,包含教程和源代码

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learning-cuda-trt

A large number of cuda/tensorrt cases . 大量案例来学习cuda/tensorrt

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PTT

Official PyTorch Implementation for "PTT: Point-Track-Transformer Module for 3D Single Object Trackingin Point Clouds"

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iAI

🎯 保姆级深度学习从入门到放弃 🤪 🤪

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OpenPCDet-Noted

OpenPCDet代码分析与注释

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grid_map

Universal grid map library for mobile robotic mapping

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