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3d-recon_3d-dl_datasets

amuya_sfm_lines_beta

This repository corresponds a implementations of SfM pipelines using line segments presented in "Structure from Motion with Line Segments Under Relaxed Endpoint Constraints" Micusik & Wildenauer (2016)

bgpantojar.github.io

controlnet

Let us control diffusion models

crack_kinematics

This repository contains the codes for computing crack kinematics using a binary mask that represents a segmented crack. The methodoly hereby implementes was presented in the paper "Determing crack kinematics from imaged crack patterns" by Pantoja-Rosero et., al.

dadt_buildings

deepcalib

DeepCalib: A Deep Learning Approach for Automatic Intrinsic Calibration of Wide Field-of-View Cameras

diffusion-models-class

Materials for the Hugging Face Diffusion Models Course

fem_buildings

gans-awesome-applications

Curated list of awesome GAN applications and demo

grounded-segment-anything

Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

lod3_buildings

This repository contains the codes for computing geometrical digital twins as LOD3 models for buildings using a structure from motion and semantic segmentation. The methodoly hereby implementes was presented in the paper "Generating LOD3 building models from structure-from-motion and semantic segmentation" by Pantoja-Rosero et., al.

marble

A software for imaging your masonry building (LOD, DADT, FEM)

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

nebullvm

Plug and play modules to optimize the performances of your AI systems 🚀

opencv-python-tests

Just some scripts that I write while I'm learning OpenCV

opensfm-docker-base

A base docker image to build OpenSfM with all dependencies included

pix2pix

Image-to-image translation with conditional adversarial nets

pyslam

pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

skeleton-tracing

A new algorithm for retrieving topological skeleton as a set of polylines from binary images

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

stable-dreamfusion

A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.

stone_masonry_gdt

ternausnet

UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset

tglcourse

The Generative Landscape - a course on generative modelling (currently unfinished). Join our Discord: https://discord.gg/vSjhr8xb4g

topo_crack_detection

This repository contains the codes for crack detection using topological loss function. The methodology hereby implemented was presented in the paper ["TOPO-Loss for continuity-preserving crack detection using deep learning" by Pantoja-Rosero et., al. (2022)](https://www.sciencedirect.com/)