rlrognstad
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The dataset for drone based detection and tracking is released, including both image/video, and annotations.
A Python library for fast, interactive geospatial vector data visualization in Jupyter.
Smooth out the rough edges of AWS SSO (temporarily, until AWS makes it better).
Effortlessly build beautiful command-line apps
A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.
My personal Obsidian vault template. A bottom-up approach to note-taking and organizing things I am interested in.
An open file format for infinite canvas data.
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
📚 Jupyter notebook tutorials for OpenVINO™
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Images to inference with no labeling (use foundation models to train supervised models).
Improved table navigation, formatting, and manipulation in Obsidian.md
Configuration classes enabling type-safe PyTorch configuration for Hydra apps
A Multi-purpose template for LighTnIng + Hydra + Comet ML
Earth observation tools for Meta AI Segment Anything
Official code implementation for WACV 2024 paper "ShadowSense: Unsupervised Domain Adaptation and Feature Fusion for Shadow-Agnostic Tree Crown Detection from RGB-Thermal Drone Imagery"
Semantic Segmentation model for the detection of dead trees from ortho photos.
Private example for multiple pipelines in DVC.
Raster-based Spatial Analytics for Python
Hydra is a framework for elegantly configuring complex applications
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
A plugin to edit and view Excalidraw drawings in Obsidian
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)