Stars
Tools for reconstructing and mapping coral reef scenes from underwater images
Sample code for triggering Globus Flows using the Python watchdog library.
Globus Compute: High Performance Function Serving for Science
A Python implementation of the Geomorphons algorithm for landform classification from DEMs.
VisioFirm: Cross-Platform AI-assisted Annotation Tool for Computer Vision
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
Sediment ANalysis and Delineation through Images. A free and open-source software to process particles from high-resolution underwater images and to analyze gravels from laboratory images. Designed…
Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you alre…
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure stra…
Tools for downloading the BenthicNet dataset: underwater photographs of benthic habitats at seabeds around the world.
High Resolution Photomosaic images for AGU24.
A repository for creating object detection and instance segmentation models on ROV, AUV, and DropCam imagery data in Tator
Build better computer vision pipelines for geospatial data by splitting large images into sets of smaller images (or "chips") using ChipSet!
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
RaDe-GS: Rasterizing Depth in Gaussian Splatting
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Super simple fit method for PyTorch Modules
A collection of pre-trained, state-of-the-art models in the ONNX format