Classes and methods for performing 3D pose tracking from 2D poses
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
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.
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Hashes for wf-pose-tracking-3d-0.1.0.tar.gz
Hashes for wf_pose_tracking_3d-0.1.0-py3-none-any.whl