Brian A. Millikan, Ph.D.'s repositories
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
gdal
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
usgs-lidar
AWS Entwine Point Tiles USGS LiDAR Public Dataset GitHub repo
RSBuilding
This is the pytorch implement of our paper "RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model"
LION
Latent Point Diffusion Models for 3D Shape Generation
ArithmeticEncodingPython
Data Compression using Arithmetic Encoding in Python
SPIN_RoadMapper
Official implementation of our ICRA'22 paper: SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving
pytorch-yolo-v3
A PyTorch implementation of the YOLO v3 object detection algorithm
LiDAR-Guide
LiDAR Guide
point-cloud-prediction
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks
lidRbook
The lidR package tutorials book :book:
pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
laz-perf
Alternative LAZ implementation for C++ and JavaScript
OT_3DEP_Workflows
Jupyter Notebook-based workflows for programmatically accessing, processing, and visualizing 3D Elevation Program (3DEP) lidar data
PointCloudRendering
Fast rendering of large point clouds in OpenGL through compute shaders.
finalProjectCompression
Huffman encoding, compression
NeuralPCI
✨ [CVPR 2023] NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation
SqueezeSegV2
Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
Reference-arithmetic-coding
Clear implementation of arithmetic coding for educational purposes in Java, Python, C++.
PointCloudWorkshop-May2022
Point Cloud and Change Detection in the Geoscience
CSFTools
Tools to processing LiDAR point cloud
GeologicalRemoteSensing_Manuals
Manuals (Markdown, PDF) for Python, Remote-Sensing Software, and SSH installation
crfasrnn_keras
CRF-RNN Keras/Tensorflow version
dfc2019
2019 IEEE GRSS Data Fusion Contest data, baselines, and metrics
points2grid
Points2Grid is a robust and scalable tool for gridding LIDAR point cloud data to generate Digital Elevation Models (DEM). Points2Grid uses a local gridding method to compute grid cell elevation using a neighborhood defined around each cell based on a search radius provided by the user.