Sigve Martin Pettersen's Projects
Tutorial on using mobile camera to reconstruct 3D based on 2D images.
C++ for programmers course material
Exercise notebooks for CVND.
Notebooks for learning about object motion and localization methods in the last section of CVND.
Projects done as part of the Udacity Data Scientist Nanodegree program
Repository for work done during the Deep Learning Nano Degree Foundation program on Udacity.
Repository for project hand-ins in the Deep Reinforcement Learning for Robotics nano-degree at Udacity.
Chapter 7 of the Deep Learning for Computer Vision book. Exercise making an initial image classifier on animals data set.
Code for the Deep Learning with PyTorch lesson
Tutorials and content created by Earth Engine users, for Earth Engine users
Testing exif from image data using python
Project using computer vision techniques and deep learning architectures to build a facial keypoint detection system that takes in any image with faces, and predicts the location of 68 distinguishing keypoints on each face!
Test driven development with fastapi and docker tutorial
A video-series on IFC and BlenderBIM
Open source IFC library and geometry engine
Graph-Based Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.
LEAF CAN bus message decoding with proper database files
Repository for å utvikle og tilgjengeliggjøre maskinlesbare beskrivelse- og kodesystemer
Starter Code for Auth&Auth course
For noobs like me: how to connect your google drive to Colab and download data with kaggle API
Open Source Computer Vision Library
Landmark Detection and Tracking (SLAM) project for CVND
Repository for the handins in ud208 Robitics nanodegree program
A test project on scrapy - scraping questions on stackoverflow
Repo for testing sentinel api
This repository contains the documentation and source of the Summer School of Linked Data in Architecture and Construction.
PyTorch tutorials.