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import numpy as np
import matplotlib.pyplot as plt

def get_bboxes_from(output):
  """ returns list of bboxes """
  return outputs["instances"].__dict__['_fields']['pred_boxes'].__dict__['tensor']


def crop(bbox, in_img: np.ndarray):
  """ bbox is a list with xmin, ymin, xmax, ymax """

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@startuml

!define LIGHTSTYLE
!includeurl https://gist.githubusercontent.com/rakesh4real/39df62ab1d17d252e20d42e9ef389c42/raw/ab750998a1ebd9ead7fbd4e5e20ad93c55bbb028/plantuml_style.puml


class Object << general >>
Object <|--- ArrayList : parent

note top of Object : In java, every class\nextends this one.

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def train():

    tf.global_variables_initializer().run()

    could_load, checkpoint_counter = load()
    if could_load:
        start_epoch = (int)(checkpoint_counter / num_batches)
        start_batch_id = checkpoint_counter - start_epoch * num_batches
        counter = checkpoint_counter
        print("[INFO] Checkpoint Load Success!")

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# importing the multiprocessing module 
import multiprocessing 
  
def print_cube(num): 
    """ 
    function to print cube of given num 
    """
    while True:
        print("Cube: {}".format(num * num * num)) 
  

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# =====================================================================================================================
# Heap
# =====================================================================================================================
# Heap is a complete binary tree ( Max. possible ht. is log(n) )
# - Cannot be used for searching ele
# - used only for 1. inserting 2. Deleting (that too only max/min)

import os, time

class Heap: