cappelletto

bayesian-inference

meshToolbox

Toolbox for meshed surfaces obtained from SfM or SLAM solutions

NeRF-SLAM

Real-Time Dense Monocular SLAM with Neural Radiance Fields. https://arxiv.org/abs/2210.13641 + Sigma-Fusion: Probabilistic Volumetric Fusion for Dense Monocular SLAM https://arxiv.org/abs/2210.01276

rawgraphs-app

A web interface to create custom vector-based visualizations on top of RAWGraphs core

rawgraphs-charts

A curated selection of charts provided through RAWGraphs interface

TagLab

A CNN based image segmentation tool oriented to marine data analysis

tiff2png

Independent TIFF to PNG converter module

uw-color-correction-ml

Underwater color correction using GANs and CNNs

uwimageproc

OpenCV based toolbox for underwater video and image processing

oplab_pipeline

parsers for navigation data for oplab_standard and acfr_standard formats

cappelletto/NeRF-SLAM

Real-Time Dense Monocular SLAM with Neural Radiance Fields. https://arxiv.org/abs/2210.13641 + Sigma-Fusion: Probabilistic Volumetric Fusion for Dense Monocular SLAM https://arxiv.org/abs/2210.01276

cappelletto/rawgraphs-app

A web interface to create custom vector-based visualizations on top of RAWGraphs core

cappelletto/rawgraphs-charts

A curated selection of charts provided through RAWGraphs interface

cappelletto/TagLab

A CNN based image segmentation tool oriented to marine data analysis

cappelletto/bayesian-inference

cappelletto/statiff

Small geoTIFF analizer which computes several derivatives from the raster data. Provides additional info to that obtained from *gdalinfo*

cappelletto/tiff2png

Independent TIFF to PNG converter module

cappelletto/accelerated_features

Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!

cappelletto/awesome-coral-research

:ocean: A curated list of awesome coral research tools and resources.

cappelletto/blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

cappelletto/ComputeLibrary

The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

cappelletto/coralnet

Development of CoralNet.

cappelletto/dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

cappelletto/dvc

🦉 Data Version Control | Git for Data & Models | ML Experiments Management

cappelletto/GET3D

cappelletto/gpt4-pdf-chatbot-langchain

GPT4 & LangChain Chatbot for large PDF docs

cappelletto/gridfinity_openscad

cappelletto/isaac_ros_visual_slam

Visual odometry package based on hardware-accelerated NVIDIA Elbrus library with world class quality and performance.

cappelletto/label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

cappelletto/latent_toolbox

Collection of assisting tools to process/consume OpLab datasets+latents into general ML pipelines

cappelletto/metashape-scripts

Python scripts for Metashape (former PhotoScan)

cappelletto/MultiBench

[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning

cappelletto/NN-SVG

Publication-ready NN-architecture schematics.

cappelletto/opencv

Open Source Computer Vision Library

cappelletto/rawgraphs-core

RAWGraphs core library

cappelletto/sam-pt

SAM-PT: Extending SAM to zero-shot video segmentation with point-based tracking.

cappelletto/segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

cappelletto/STEGO

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

cappelletto/Track-Anything

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

cappelletto/visualizeMe

Collection of tools to generate summary plots, SVGs and renders for reporting regression and map predictions