Using DeepLabCut For 3D Markerless Pose Estimation Across Species And Behaviors DLC User Guide
User Manual:
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Page Count: 23
- Using DeepLabCut for 3D markerless pose estimation across species and behaviors
- Abstract
- Introduction
- Step-by-Step Procedure:
- Create a New Project
- Configure the Project
- Data Selection
- Label Frames
- Check Annotated Frames
- Create Training Dataset
- Train The Network
- Evaluate the Trained Network
- Video Analysis and Plotting Results
- Refinement: Extract Outlier Frames
- Refine Labels: Augmentation of the Training Dataset
- Anticipated Results
- Jupyter Notebooks for Demonstration of the DeepLabCut Work-flow
- Overview of Commands
- Troubleshooting
- References