Maybe the simplest LiDAR-inertial odometry that one can have.

Note and code for: Kalman Filtering: Theory and Practice using MATLAB by Mohinder S. Grewal and Angus P. Andrews.

ROS 2 package that provides bidirectional communication between ROS 1 and ROS 2

A ROS server implementation of the World Geodetic System (WGS) conversion functions for converting to/from LLA, ENU, and ECEF.

xsens ros2 driver

A LiDAR odometry pipeline that just works

converts image sequence in ros bag files to video files

Event-based Simultaneous Localization and Mapping: A Survey

ros2 driver for xsens mti devices

A ROS-agnostic toolbox for common rosbag operations

Collection of versatile software libraries for space engineering applications.

Install a swap file on the NVIDIA Jetson Nano Developer Kit. This should help with memory pressure issues.

This repository contains all the code developed for the final project of course 02456 - Deep Learning at DTU, in the Autumun Semester 2022

Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

Repository contains all the code developed for the Final Project of the Machine Learning Operations (02476) course at DTU.

Tool to convert a DOI to a BiBTeX entry (mainly "adapted" for the computer vision and machine learning communities)

Exercises and supplementary material for the machine learning operations course at DTU.

This repo is a pytorch implementation of yolov1.

Pytorch based FasterRCNN for custom dataset

Real time instance segmentation with Mask R-CNN, live from webcam feed.

This series we'll use Mask RCNN

Custom Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Embrapa Wine Grape Instance Segmentation Dataset - Embrapa WGISD

Use VGG Image Annotator to label a custom dataset and train an instance segmentation model with Mask R-CNN implemented in Keras.

Train your own custom MaskRCNN Object Detection and Instance Segmentation model.

Learn how to train a custom instance segmentation model with Detectron2