Downloads the sample data zip file and extracts it to the recording session folder. Returns the path to the extracted data.

Downloads the test data zip file and extracts it to the recording session folder. Returns the path to the extracted data.

For a given board definition, get the corner marker indexes needed to make the x and y vectors

Generate a consistent random color for the given value.

Computes statistics for the distances between neighboring points

Performs checks on the processing parameters to make sure they are valid with the existing data before running the pipeline. Raises FileNotFo

Project 3D world point to 2D image coordinates. Args: p3d: (3,) array, 3D point [X, Y, Z] P: (3,4) array, camera project

Load all data, validate it, and create the recording_data_by_frame_number dictionary. Returns: Dict[int, Dict]: a dictio

test that the `2d detection` process worked correctly by checking: The dimensions of that `npy` (number of cameras, number of frames, [ need

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