Plugin Catalog

IntegraPose includes a curated collection of plugins for specialized needs outside the seven main tabs. They are optional: enable the ones you need from Plugins -> Manage Plugins... and launch them from the Plugins menu.

Each plugin has its own input files, results, and optional packages. Some reuse the main IntegraPose project and run records; others, such as Fura Imaging Lab, create separate specialist results. Follow the relevant plugin guide and keep its result files with the rest of the study record.

Plugin status - research in progress

The IntegraPose plugin ecosystem evolves alongside active research. Some plugins are stable enough for ongoing use; others are works in progress, and individual plugins may change, be deprecated, or be removed as research priorities shift. If an ongoing study depends on a particular plugin, keep a copy of the IntegraPose version used for that study and record it in your methods or lab notes.

Browse by purpose

Dataset creation

Plugin	What it adds	When to reach for it
Assisted Pose Curation	Review-first pose labeling with model-assisted suggestions	Building a pose dataset where each frame deserves a quick human pass
AutoLabel Forge	GroundingDINO-driven autolabel + SAM-assisted cleanup for detection datasets	Bootstrapping a detection dataset from raw video without box-by-box labelling
Dataset Augmentor Lab	GUI-driven Albumentations augmentation for YOLO datasets	Boosting data diversity before retraining when collection is the bottleneck

Behavior & sequence modeling

Plugin	What it adds	When to reach for it
TandemYTC - Tandem YOLO + Temporal Classifier	Full-video annotation, YOLO-pose review overlays, and temporal classifier orchestration	Multi-animal behavior projects where detector features and temporal behavior classification are decoupled

Domain-specific analytics

Plugin	What it adds	When to reach for it
Gait & Kinematic Dashboard	Stride length, speed, paw angles, and group comparisons	Locomotion-focused experiments and gait-disorder studies
Fura Imaging Lab (incomplete)	Fura-2 stack alignment, ROI tracking, ratio analysis, and workbook export under development	Evaluating standalone Fura-2 ROI and ratio-analysis workflows
Zone Counter	Live polygon-based zone counts during inference	Real-time entry/exit counts for arenas, choice tests, social zones

Exploration & review

Plugin	What it adds	When to reach for it
EDA Tool	PCA / KMeans on pose embeddings, video-synced scatter plots	Iterating on features and clusters with manuscript-ready exports

Browse by workflow stage

Workflow stage	Useful plugins
Before annotation	AutoLabel Forge, Assisted Pose Curation
Before training	Dataset Augmentor Lab
After inference	EDA Tool, Gait & Kinematic Dashboard, Zone Counter
After Tab 7 sub-behavior discovery	TandemYTC - Tandem YOLO + Temporal Classifier
Experimental Fura-2 imaging analysis	Fura Imaging Lab (incomplete)

Browse by question

If you want to...	Reach for
Speed up pose labeling	Assisted Pose Curation
Build a detection dataset quickly	AutoLabel Forge
Add augmentation diversity to a dataset	Dataset Augmentor Lab
Inspect output tables visually	EDA Tool
Count entries into a live region	Zone Counter
Train a downstream behavior classifier	TandemYTC - Tandem YOLO + Temporal Classifier
Run a multi-stage detector + classifier	TandemYTC - Tandem YOLO + Temporal Classifier
Focus on gait or stride features	Gait & Kinematic Dashboard
Evaluate Fura-2 imaging analysis under development	Fura Imaging Lab (incomplete)

Enabling and launching plugins

1. Open Plugins -> Manage Plugins... to see installed plugins.
2. Pick the plugins you want, accept the trust dialog if shown, and apply.
3. Each enabled plugin appears in the Plugins menu and launches in its own window.

Most plugins write into the same project / output folder you already use, so there is no extra bookkeeping.

Creating your own plugins

Labs can add local workflow extensions without editing the core IntegraPose tabs. See Plugin Development for the plugin folder layout, plugin.json metadata, plugin.py registration entry points, opt-in/trust behavior, and a minimal working template.

Practical notes

• The main IntegraPose workflow remains:

Data Preprocessing -> Setup -> Training -> Inference -> Bout Analytics -> Behavior Clustering

Plugins are accelerators or specialty tools, not required steps for every project.

• A few plugins have additional dependencies (for example, AutoLabel Forge wants GroundingDINO and SAM weights). Per-plugin pages call those out where they apply.

• Preserve each plugin's manifest, workbook, model, or output folder according to its guide; a core project JSON or reproducibility bundle does not replace specialist result files.