wf-pose-tracking-3d 0.1.0

Classes and methods for performing 3D pose tracking from 2D poses

# wf-pose-tracking-3d

Classes and methods for performing 3D pose tracking from 2D poses:

• Functions which load 2D pose data from Wildflower S3 directories

• Functions which perform very basic 3D pose reconstruction from multi-camera 2D pose data

• Functions which support basic visualization of 2D and 3D pose data

## Testing

To run tests, change working directory to /tests and run one of the following.

python 3d_reconstruction_example.py pulls a single frame of 2D pose data from S3 and performs a simple 3D pose reconstruction

python 3d_pose_tracking_example.py pulls multiple frames of 2D pose data from a local file and builds a set of 3D pose tracks

These scripts pull camera calibration parameter files and sample 2D pose data from tests/data

To run these scripts (and to use any of the functions data from S3), you need to set the AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY environment variables to keys belonging to an account that is a member of the Wildflower cameras group.