Igor Tihonov's starred repositories
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.
3D-Machine-Learning
A resource repository for 3D machine learning
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
Fast-Planner
A Robust and Efficient Trajectory Planner for Quadrotors
sentinelhub-py
Download and process satellite imagery in Python using Sentinel Hub services.
awesome-point-cloud-processing
A curated list of awesome Point Cloud Processing Resources, Libraries, Software
camera_calibration
Accurate geometric camera calibration with generic camera models
aerial_mapper
Real-time Dense Point Cloud, Digital Surface Map (DSM) and (Ortho-)Mosaic Generation for UAVs
mav_active_3d_planning
Modular framework for online informative path planning.
BlendedMVS
BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks
tilestrata
A pluggable Node.js map tile server.
imageprocessing
MicaSense RedEdge and Altum image processing tutorials
FIELDimageR
FIELDimageR: A R package to analyze orthomosaic images from agricultural field trials. This package is a compilation of functions to analyze pos-mosaicking images from research fields, and allows to: crop the image; remove soil effect; build vegetation indices; rotate the image; build the plot shapefile; extract information for each plot; and evaluate stand count, canopy percentage, and plant height.
lambda-tiler
AWS Lambda + rio-tiler to serve tiles from any web hosted files
SemanticSfM
Large-Scale Structure from Motion with Semantic Constraints of Aerial Images, PRCV 2018
computing-pipeline
Pipeline to Extract Plant Phenotypes from Reference Data