LUCIO ANDRE DE CASTRO JORGE's repositories
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.
segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
geospatial-ml
A Python package for installing commonly used packages for geospatial analysis and machine learning with only one command.
MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
RemoteSensing-machinelearning-deeplearning
adopting ML AI for remote sensing data
python-geospatial
A collection of Python packages for geospatial analysis with binder-ready notebook examples
tf-keras-vis
Neural network visualization toolkit for tf.keras
Open-PhenoLiDAR
Open-PhenoLiDAR is an open-source package from the integration of LiDAR sensors in plant phenotyping and crop monitoring applications.
labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
PythonFundamentos
Repositório do Curso Online Python Fundamentos Para Análise de Dados.
data-science-blogs
A curated list of data science blogs
py4e
Web site for www.py4e.com and source to the Python 3.0 textbook
ODM
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
NodeODM
A lightweight REST API to access aerial image processing engines such as ODM or MicMac
rGEDI
rGEDI: An R Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing.
nvidia-docker
Build and run Docker containers leveraging NVIDIA GPUs
xdat
XDAT - A free parallel coordinates software.
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.
pythonbirds
Projeto para Ensino de Programação Orientadas a Objetos em Python
HTP
Tools for High-Throughput Phenotyping