225 lines
6.9 KiB
Python
225 lines
6.9 KiB
Python
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"""Utilities for CLEVR-Dialog dataset generation.
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Author: Satwik Kottur
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"""
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import copy
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def pretty_print_templates(templates, verbosity=1):
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"""Pretty prints templates.
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Args:
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templates: Templates to print
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verbosity: 1 to print name and type of the templates
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"""
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# Verbosity 1: Name and type.
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print('-'*70)
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for ii in templates:
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print('[Name: %s] [Type: %s]' % (ii['name'], ii['type']))
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print('-'*70)
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print('Total of %s templates..' % len(templates))
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print('-'*70)
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def pretty_print_scene_objects(scene):
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"""Pretty prints scene objects.
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Args:
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scene: Scene graph containing list of objects
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"""
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for index, ii in enumerate(scene['objects']):
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print_args = (index, ii['shape'], ii['color'],
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ii['size'], ii['material'])
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print('\t%d : %s-%s-%s-%s' % print_args)
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def pretty_print_dialogs(dialogs):
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"""Pretty prints generated dialogs.
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Args:
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dialogs: Generated dialogs to print
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"""
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for scene_id, dialog_datum in enumerate(dialogs):
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for dialog in dialog_datum['dialogs']:
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print(dialog['caption'])
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for round_id, ii in enumerate(dialog['dialog']):
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coref_id = dialog['graph']['history'][round_id+1]['dependence']
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in_tuple = (round_id, ii['question'], str(ii['answer']),
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ii['template'], str(coref_id))
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print('\t[Q-%d: %s] [A: %s] [%s] [%s]' % in_tuple)
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def merge_update_scene_graph(orig_graph, graph_item):
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"""Merges two scene graphs into one.
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Args:
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orig_graph: Original scene graph
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graph_item: New graph item to add to the scene graph
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Returns:
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graph: Deep copy of the original scene graph after merging
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"""
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graph = copy.deepcopy(orig_graph)
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# Local alias.
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objects = graph['objects']
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# If not mergeable, return the same scene graph.
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if not graph_item['mergeable']:
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return graph
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# 1. Go through each new object
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# 2. Find its batch in objects
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# a. If found, assert for a clash of attributes, update
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# b. If novel, just add the object as is
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for new_obj in graph_item['objects']:
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match_found = False
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obj = objects.get(new_obj['id'], None)
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if obj:
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# Assert for existing entries.
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for attr in new_obj:
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try:
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assert new_obj[attr] == obj.get(attr, new_obj[attr]),\
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'Some of the attributes do not match!'
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except:
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pdb.set_trace()
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# Add additional keys.
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objects[new_obj['id']].update(new_obj)
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else:
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# Add the new object.
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objects[new_obj['id']] = new_obj
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# if a relation, update it
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if 'relation' in graph_item:
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rel = graph_item['relation']
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# update it with object 2 id
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id1 = graph_item['objects'][0]['id']
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id2 = graph_item['objects'][1]['id']
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rel_objs = graph['relationships'][rel][id1]
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rel_objs.append(id2)
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graph['relationships'][rel][id1] = rel_objs
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# update objects in graph
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graph['objects'] = objects
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return graph
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def add_object_ids(scenes):
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"""Adds object ids field for input scenes.
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Args:
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scenes: List of CLEVR scene graphs
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Returns:
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scenes: Adds object_id field for the objects in the scene graph inplace
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"""
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for scene_id, scene in enumerate(scenes['scenes']):
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for obj_id, _ in enumerate(scene['objects']):
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scenes['scenes'][scene_id]['objects'][obj_id]['id'] = obj_id
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return scenes
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def clean_object_attributes(scenes):
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"""Cleans attributes for objects, keeping only attributes and id.
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Args:
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scenes: Scene graph to clean
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Returns:
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scenes: Cleaned up scene graphs inplace
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"""
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keys = ['shape', 'size', 'material', 'color', 'id']
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for scene_id, scene in enumerate(scenes['scenes']):
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for obj_id, obj in enumerate(scene['objects']):
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new_obj = {key: obj[key] for key in keys}
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scenes['scenes'][scene_id]['objects'][obj_id] = new_obj
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return scenes
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def pretty_print_corefs(dialog, coref_groups):
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"""Prints coreferences for a dialog, higlighting different groups in colors.
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Args:
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dialog: Generated dialogs to print
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coref_groups: Coreference groups for dialogs
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"""
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colorama.init()
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# Mapping of group_id -> color_ids for (foreground, background)
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color_map = {}
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groups = coref_groups.get(0, [])
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colored, color_map = pretty_print_coref_sentence(dialog['caption'], groups,
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color_map)
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print('\n\nC: %s' % colored)
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for round_id, round_datum in enumerate(dialog['dialog']):
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question = round_datum['question']
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groups = coref_groups.get(round_id + 1, [])
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colored, color_map = pretty_print_coref_sentence(question, groups,
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color_map)
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print('%d: %s' % (round_id, colored))
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def pretty_print_coref_sentence(sentence, groups, color_map):
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"""Prints a sentence containing difference coreference groups.
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Args:
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sentence: Text sentence
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groups: List of coreference groups with spans
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color_map: List of groups and associated color maps
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Returns:
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sentence: Text sentence with colors inserted
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color_map: Updated, if new groups in the current sentence
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"""
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fore_colors = ['RED', 'GREEN', 'YELLOW', 'BLUE', 'MAGENTA']
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back_colors = ['BLACK', 'YELLOW', 'CYAN']
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insertions = []
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for group in groups:
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group_id = group['group_id']
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if group_id in color_map:
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forecolor_id, backcolor_id = color_map[group_id]
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else:
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num_groups = len(color_map)
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forecolor_id = num_groups % len(fore_colors)
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backcolor_id = num_groups // len(fore_colors)
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color_map[group_id] = (forecolor_id, backcolor_id)
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forecolor = fore_colors[forecolor_id]
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backcolor = back_colors[backcolor_id]
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insertions.append(
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(group['span'][0], getattr(colorama.Fore, forecolor)))
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insertions.append(
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(group['span'][0], getattr(colorama.Back, backcolor)))
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insertions.append((group['span'][1],
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getattr(colorama.Style, 'RESET_ALL')))
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# Perform insertions.
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sentence = insert_into_sentence(sentence, insertions)
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return sentence, color_map
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def insert_into_sentence(sentence, insertions):
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"""Sorts and performs insertions from right.
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Args:
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sentence: Sentence to perform insertions into
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insertions: List of insertions, format: (position, text_insert)
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Returns:
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sentence: Inplace inserted sentence
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"""
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insertions = sorted(insertions, key=lambda x: x[0], reverse=True)
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for position, text in insertions:
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sentence = sentence[:position] + text + sentence[position:]
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return sentence
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