Devkit for 3D -- Some utils for 3D object detection based on Numpy and Pytorch

Related tags

Deep Learning visualization pytorch dataset object-detection object-tracking 3d-deep-learning
Overview

D3D

Devkit for 3D: Some utils for 3D object detection and tracking based on Numpy and Pytorch

PyPI Version Docs Status

Please consider siting my work if you find this library useful in your research :) 
@article{zhong2020uncertainty,
  title={Uncertainty-Aware Voxel based 3D Object Detection and Tracking with von-Mises Loss},
  author={Zhong, Yuanxin and Zhu, Minghan and Peng, Huei},
  journal={arXiv preprint arXiv:2011.02553},
  year={2020}
}

Features

  • Unified data representation
  • Support loading KITTI, Waymo, Nuscenes dataset
  • Rotated 2D IoU, NMS with clear CUDA implementations
  • Point Cloud Voxelization
  • Visualization
  • Benchmarking

Tips

  • Current polygon intersecting algorithm is not very stable, so try to convert the input to double precision if you met error with the iou functions
You might also like...
A numpy-based implementation of RANSAC for fundamental matrix and homography estimation. The degeneracy updating and local optimization components are included and optional.
A numpy-based implementation of RANSAC for fundamental matrix and homography estimation. The degeneracy updating and local optimization components are included and optional.

Description A numpy-based implementation of RANSAC for fundamental matrix and homography estimation. The degeneracy updating and local optimization co

AoxiangFan 9 Nov 10, 2022
Object Detection and Multi-Object Tracking
Object Detection and Multi-Object Tracking

Object Detection and Multi-Object Tracking

Bobby Chen 1.6k Jan 4, 2023
Auto-Lama combines object detection and image inpainting to automate object removals
Auto-Lama combines object detection and image inpainting to automate object removals

Auto-Lama Auto-Lama combines object detection and image inpainting to automate object removals. It is build on top of DE:TR from Facebook Research and

null 44 Dec 9, 2022
CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection

CLOCs is a novel Camera-LiDAR Object Candidates fusion network. It provides a low-complexity multi-modal fusion framework that improves the performance of single-modality detectors. CLOCs operates on the combined output candidates of any 3D and any 2D detector, and is trained to produce more accurate 3D and 2D detection results.

Su Pang 254 Dec 16, 2022
TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials

OrthNet TensorFlow, PyTorch and Numpy layers for generating multi-dimensional Orthogonal Polynomials 1. Installation 2. Usage 3. Polynomials 4. Base C

Chuan 29 May 25, 2022
Tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Tensorboard for pytorch (and chainer, mxnet, numpy, ...)

tensorboardX Write TensorBoard events with simple function call. The current release (v2.3) is tested on anaconda3, with PyTorch 1.8.1 / torchvision 0

Tzu-Wei Huang 7.5k Dec 28, 2022
MMDetection3D is an open source object detection toolbox based on PyTorch
MMDetection3D is an open source object detection toolbox based on PyTorch

MMDetection3D is an open source object detection toolbox based on PyTorch, towards the next-generation platform for general 3D detection. It is a part of the OpenMMLab project developed by MMLab.

OpenMMLab 3.2k Jan 5, 2023
An open source object detection toolbox based on PyTorch
An open source object detection toolbox based on PyTorch

MMDetection is an open source object detection toolbox based on PyTorch. It is a part of the OpenMMLab project.

Bo Chen 24 Dec 28, 2022
SSD-based Object Detection in PyTorch
SSD-based Object Detection in PyTorch

SSD-based Object Detection in PyTorch 서강대학교 현대모비스 SW 프로그램에서 진행한 인공지능 프로젝트입니다. Jetson nano를 이용해 pre-trained network를 fine tuning시켜 차량 및 신호등 인식을 구현하였습니다

Haneul Kim 1 Nov 16, 2021
Comments
  • Polish CI/CD

    Polish CI/CD

    • [ ] Fix docstring for cython codes (https://github.com/sphinx-doc/sphinx/pull/4824, https://github.com/sphinx-doc/sphinx/issues/1495, https://github.com/sphinx-doc/sphinx/issues/7630)
    • [ ] Link to pcl.py sphinx doc after (https://github.com/cmpute/pcl.py/issues/11)
    opened by cmpute 0
Owner
Jacob Zhong
(oﾟvﾟ)ノ
Jacob Zhong
GitHub https://d3d.readthedocs.io/en/latest/
Composable transformations of Python+NumPy programsComposable transformations of Python+NumPy programs

Chex Chex is a library of utilities for helping to write reliable JAX code. This includes utils to help: Instrument your code (e.g. assertions) Debug

DeepMind 506 Jan 8, 2023
MLP-Numpy - A simple modular implementation of Multi Layer Perceptron in pure Numpy.

MLP-Numpy A simple modular implementation of Multi Layer Perceptron in pure Numpy. I used the Iris dataset from scikit-learn library for the experimen

Soroush Omranpour 1 Jan 1, 2022
A library for Deep Learning Implementations and utils

deeply A Deep Learning library Table of Contents Features Quick Start Usage License Features Python 2.7+ and Python 3.4+ compatible. Quick Start $ pip

Achilles Rasquinha 1 Dec 12, 2022
Hybrid CenterNet - Hybrid-supervised object detection / Weakly semi-supervised object detection

Hybrid-Supervised Object Detection System Object detection system trained by hybrid-supervision/weakly semi-supervision (HSOD/WSSOD): This project is

null 5 Dec 10, 2022
Yolo object detection - Yolo object detection with python

How to run download required files make build_image make download Docker versio

null 3 Jan 26, 2022
MOT-Tracking-by-Detection-Pipeline - For Tracking-by-Detection format MOT (Multi Object Tracking), is it a framework that separates Detection and Tracking processes?

MOT-Tracking-by-Detection-Pipeline Tracking-by-Detection形式のMOT(Multi Object Trac

KazuhitoTakahashi 41 Nov 23, 2022
Official PyTorch implementation of Joint Object Detection and Multi-Object Tracking with Graph Neural Networks

This is the official PyTorch implementation of our paper: "Joint Object Detection and Multi-Object Tracking with Graph Neural Networks". Our project website and video demos are here.

Richard Wang 443 Dec 6, 2022
Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera.

Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera. This project prepares training and testing data for various deep learning projects such as 6D object pose estimation projects singleshotpose, as well as object detection and instance segmentation projects.

null 305 Dec 16, 2022
Rewrite ultralytics/yolov5 v6.0 opencv inference code based on numpy, no need to rely on pytorch

Rewrite ultralytics/yolov5 v6.0 opencv inference code based on numpy, no need to rely on pytorch; pre-processing and post-processing using numpy instead of pytroch.

炼丹去了 21 Dec 12, 2022
Object tracking and object detection is applied to track golf puts in real time and display stats/games.

Putting_Game Object tracking and object detection is applied to track golf puts in real time and display stats/games. Works best with the Perfect Prac

Max 1 Dec 29, 2021