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aedet

AeDet: Azimuth-invariant Multi-view 3D Object Detection, CVPR2023

bevdepth_noted

noted BEVDepth.

c-clocs

The code will be released upon accepted

clocs

CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection

cpp_contest_template

Personal cpp contest template

deep-learning-from-scratch

深度学习入门 -- 基于pyhton的理论与实现学习笔记

det3d

A general 3D object detection codebse.

did-m3d

[ECCV 2022] DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection.

hvpr

An official implementation of "HVPR: Hybrid Voxel-Point Representation for Single-stage 3D Object Detection" (CVPR 2021) in PyTorch.

ia-ssd

Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (CVPR 2022, Oral)

kitti2coco

convert kitti 2D object detection dataset to coco format

kitti3d_to_sparse_depth

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mmcv

OpenMMLab Computer Vision Foundation

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

monocon

Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection (AAAI'22)

openpcdet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

pdv

Point Density-Aware Voxels for LiDAR 3D Object Detection (CVPR 2022)

personal-d2l

picturebed

Github Picture Bed For Joplin

pointaugmenting

[CVPR2021] PointAugmenting: Cross-Modal Augmentation for 3D Object Detection

pointcloud_utils

python_contest_template

se-ssd

SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud, CVPR 2021.

third_paper

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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