repic.utils.score_detections
============================

.. py:module:: repic.utils.score_detections

.. autoapi-nested-parse::

   Calaculates performance metrics of particle picking algorithm by comparing output to the normative (final particle sets from EMPIAR)



Attributes
----------

.. autoapisummary::

   repic.utils.score_detections.parser


Functions
---------

.. autoapisummary::

   repic.utils.score_detections.get_segmentation_scores


Module Contents
---------------

.. py:function:: get_segmentation_scores(norm_boxes, pckr_boxes, conf_thresh=None, mrc_w=None, mrc_h=None)

   Creates segmanetation maps of particle picking algorithm and normative particle bounding boxes, then calculates performance metrics (precision, recall, F1-score, and positive fraction of particles)

   :param norm_boxes: list of normative particle bounding boxes
   :type norm_boxes: list
   :param pckr_boxes: list of particle picking algorithm bounding boxes
   :type pckr_boxes: list

   :keyword conf_thresh: false positive filtering threshold of particle picking algorithm
   :kwtype conf_thresh: float or None
   :keyword mrc_w: micrograph width (pixels)
   :kwtype mrc_w: int or None
   :keyword mrc_h: micrograph height (pixels)
   :kwtype mrc_h: int or None

   :returns: precision, recall, F1-score, and positive fraction of pixels
   :rtype: float, float, float, float


.. py:data:: parser

   argparse parse_args() object

   :type: obj