class_docstr: Box collection.
  
  BoxList represents a list of bounding boxes as numpy array, where each
  bounding box is represented as a row of 4 numbers,
  [y_min, x_min, y_max, x_max].  It is assumed that all bounding boxes within a
  given list correspond to a single image.
  
  Optionally, users can add additional related fields (such as
  objectness/classification scores).
docstr: Get corner coordinates of boxes.
  
  Returns:
   a list of 4 1-d numpy arrays [y_min, x_min, y_max, x_max]
code: def get_coordinates(self):
      """Get corner coordinates of boxes.
  
      Returns:
       a list of 4 1-d numpy arrays [y_min, x_min, y_max, x_max]
      """
      box_coordinates = self.get()
      y_min = box_coordinates[:, 0]
      x_min = box_coordinates[:, 1]
      y_max = box_coordinates[:, 2]
      x_max = box_coordinates[:, 3]
      return [y_min, x_min, y_max, x_max]
  
file_path: SlowFast/ava_evaluation/np_box_list.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import numpy
label_desc: Use image node_id 8 for calling the BoxList obj's underlying member method code with example usage: obj.get_coordinates() and returns: list