Metadata-Version: 2.1
Name: poseconnect
Version: 0.6.2
Summary: Tools for constructing 3D pose tracks from multi-camera 2D poses
Home-page: https://github.com/WildflowerSchools/poseconnect
Author: Theodore Quinn
Author-email: ted.quinn@wildflowerschools.org
License: UNKNOWN
Description: # poseconnect
        
        Tools for constructing 3D pose tracks from multi-camera 2D poses
        
        ## Installation
        
        To install both the Python library and the command line interface, launch a
        Python virtual environment (optional, but recommended) and then install via
        `pip`:
        
        ```
        pip install poseconnect
        ```
        
        ## Command line interface
        
        The command line interface consists of a single command (`poseconnect`) with
        four subcommands:
        
        * `reconstruct` takes a file of 2D pose data and a file of camera calibration info as inputs and outputs a file of 3D pose data
        * `track` takes a file of 3D pose data as input and outputs a file of 3D pose data with track IDs
        * `interpolate` takes a file of 3D pose data with track IDs as input and fills time gaps in each track with linearly interpolated poses
        * `identify` takes a file of 3D pose data with track IDs and a file of location sensor data with person IDs and outputs a file of 3D pose data with track and person IDs
        * `overlay` takes a file of 2D or 3D pose data and a source video for the data and outputs a video with the poses overlaid
        
        ### Help
        
        Overall help is available at `poseconnect --help` and help for each subcommand
        (including usage and a list of options) is available at `poseconnect SUBCOMMAND
        --help` (e.g., `poseconnect reconstruct --help`).
        
        ### Data formats
        
        More information about input and output data file formats is available [here](https://github.com/WildflowerSchools/poseconnect/blob/master/docs/data_formats.md).
        
        ### Demo
        
        To see the command line interface in action, download and unzip the following sample JSON data files to your current directory and run the [demo shell script](https://github.com/WildflowerSchools/poseconnect/blob/master/scripts/poseconnect_demo.sh):
        
        * [2D pose data](https://wildflower-tech-public.s3.us-east-2.amazonaws.com/poseconnect/sample_pose_2d_data.zip)
        * [Camera calibration info](https://wildflower-tech-public.s3.us-east-2.amazonaws.com/poseconnect/sample_camera_calibration_info.zip)
        * [Sensor data](https://wildflower-tech-public.s3.us-east-2.amazonaws.com/poseconnect/sample_sensor_data.zip)
        
Keywords: pose reconstruction,pose tracking
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Description-Content-Type: text/markdown
