Calibration.review_outliers

giant.calibration.calibration_class:

Calibration.review_outliers(sigma_cutoff=3, hard_threshold=5)

This method review outliers for all images within a camera object and allows for them to be removed through a simple gui.

Possible outliers are identified either using get_outliers() or through a hard threshold. The sigma_cutoff is passed to the same argument in the get_outliers(). The hard_threshold is used to identify possible outliers by simply thresholding the total pixel error (sqrt(x**2+y**2)). All possible outliers from either method are shown to the user for possible manual removal using the show_outlier() function.

For automated outlier removal see the remove_outliers() method.

Parameters:

• sigma_cutoff (float) – the sigma threshold to use in the Median Absolute Deviation check

• hard_threshold (float) – The hard threshold to use in units of pixels