caped-ai's Projects
Mother package of oneat and vollseg algorithms. Combining the mix of both to create image analysis workflows.
Augmentation library built on top of albumentations for augmentation of segmentation and classification catasets. Available via pip package caped-ai-augmentations
Metrics for instance segmentation and static and action classification. Available via pip package caped-ai-metrics.
Ransac based methods for function fitting on Microtubule Kymographs
oneat = Open Network for Event as Action Topologies. Available via pip package oneat
Visualization library for bounding boxes, activation maps of vollseg segmentation and oneat classification networks. Available via pip package caped-ai-visualizations.
Napari plugin for visualizing oneat detections
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
Cookiecutter template for generating KapoorLabs written Napari plugins.
Cookiecutter for pypi packages
Use Fourier transform to learn operators in differential equations.
collections of plugins for the napari hub
Napari Visualization tool for Trackmate > 6.0 and bTrackmate XML files for 2/3D + time tracks. Available via pip package napatrackmater.
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
The python-microscopy environment - an open-source package for light microscopy
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.
The SSS of setting up things on remote linux servers, AWS servers
A table data viewer for Python
TrackMate is your buddy for your everyday tracking.