Skip to main content

DataJoint Element for Continuous Behavior Tracking via DeepLabCut

Project description

PyPI version

DataJoint Element for Pose Estimation with DeepLabCut

DataJoint Element for markerless pose estimation with DeepLabCut. DataJoint Elements collectively standardize and automate data collection and analysis for neuroscience experiments. Each Element is a modular pipeline for data storage and processing with corresponding database tables that can be combined with other Elements to assemble a fully functional pipeline.

Experiment Flowchart

flowchart

Data Pipeline Diagram

pipeline

Getting Started

Support

  • If you need help getting started or run into any errors, please open a GitHub Issue or contact our team by email at support@datajoint.com.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

element-deeplabcut-0.2.8.tar.gz (20.8 kB view hashes)

Uploaded Source

Built Distribution

element_deeplabcut-0.2.8-py3-none-any.whl (22.5 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page