Pinned Repositories
CropMask_RCNN
Segmenting center pivot agriculture to monitor crop water use in drylands with Mask R-CNN and Landsat satellite imagery
2020-02-06-jpl
Website:
animal_detector
Detecting animals in camera trap images
cml-demo
cv
Ryan Avery's academic CV
excimer_referencer
WIP to spatially reference images produced from a laser ablation system with Python
geospatial-python
Introduction to Geospatial Raster and Vector Data with Python
landsat_L2_qa
Unpack the bit-packed Landsat pixel_qa band into individual layers and create an image of each quality indicator.
sprnca_gedi
WIP to map Foliage Height Diversity along the San Pedro Riparian Corridor with NASA's GEDI Lidar
rbavery's Repositories
rbavery/animal_detector
Detecting animals in camera trap images
rbavery/landsat_L2_qa
Unpack the bit-packed Landsat pixel_qa band into individual layers and create an image of each quality indicator.
rbavery/cml-demo
rbavery/geospatial-python
Introduction to Geospatial Raster and Vector Data with Python
rbavery/OneFormer
[CVPR 2023] OneFormer: One Transformer to Rule Universal Image Segmentation
rbavery/paper_scraper
an app mostly coded by chatgpt to download arxiv papers and json metadata
rbavery/advent-of-code-2020
rbavery/amazon-asdi
Docs and supporting material for the Amazon Sustainability Data Initiative.
rbavery/animl-onnx
rbavery/aquacrop
AquaCrop-OSPy: Python implementation of AquaCrop-OS
rbavery/bayts
Set of tools to apply the probabilistic approach of Reiche et al. (2015, 2018) to combine multiple optical and/or Radar satellite time series and to detect deforestation/forest cover loss in near real-time. The package includes functions to apply the approach to both, single pixel time series and raster time series. Examples and test data are provided below.
rbavery/ceruleanserver
ML model server for oil-slick detections
rbavery/cocoapi
COCO API - Dataset @ http://cocodataset.org/
rbavery/dlm-extension
Deep Learning Model STAC Extension
rbavery/family-vids-scripts
rbavery/hexutil
Classes and functions to deal with hexagonal grids.
rbavery/HighResCanopyHeight
This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar".
rbavery/icevision
An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
rbavery/mdv5
rbavery/NivekT
Config files for my GitHub profile.
rbavery/numpy
The fundamental package for scientific computing with Python.
rbavery/open-data-registry
A registry of publicly available datasets on AWS
rbavery/site
My personal site. Welcome!
rbavery/solaris
CosmiQ Works Geospatial Machine Learning Analysis Toolkit
rbavery/stac-geoparquet
rbavery/stac-site
Website for SpatioTemporal Asset Catalog specification
rbavery/testzip
rbavery/vision
Datasets, Transforms and Models specific to Computer Vision
rbavery/xarray
N-D labeled arrays and datasets in Python
rbavery/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite