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3d-building-metrics

Tool to compute shape metrics from 3D geometries for buildings

ade_coco_cityscapes_data

Semantic Image Synthesis with SPADE

ahn3_ground_classification

buildingnet_dataset

cascade-stereo

cascade-stereo

casmvsnet_pl

Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching using pytorch-lightning

classification_a2_geo5017

clustering_algorithms_geo5017

colmap_python

COLMAP - Structure-from-Motion and Multi-View Stereo

ddlmvs

Official source code for DDL-MVS: Depth Discontinuity Learning for MVS Networks

eth3d_dataset-pipeline

Pipeline for creating multi-view benchmark datasets from laser scans and images.

eth3d_format-loader

Example code for loading the dataset format.

g-map

geoweb_lab5

ipanagiotidou.github.io

m3vsnet

M^3SNet: Unsupervised Multi-metric Multi-view Stereo Network

ml_clustering

mvsnet_pl

MVSNet: Depth Inference for Unstructured Multi-view Stereo using pytorch-lightning

nbodies

nbody

opencv

Open Source Computer Vision Library

python-photogrammetry

Python implementation of Visual Odometry algorithms from http://rpg.ifi.uzh.ch/

segformer_on_customdata

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

senet

Squeeze-and-Excitation Networks

unsup_mvs

Code for paper: Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency