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val_mmniah.py
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val_mmniah.py
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import re
import json
def has_word(sentence, word):
pattern = r'\b' + re.escape(word) + r'\b'
match = re.search(pattern, sentence)
if match:
return True
else:
return False
class VQAEval:
def __init__(self):
self.contractions = {
'aint': "ain't",
'arent': "aren't",
'cant': "can't",
'couldve': "could've",
'couldnt': "couldn't",
"couldn'tve": "couldn't've",
"couldnt've": "couldn't've",
'didnt': "didn't",
'doesnt': "doesn't",
'dont': "don't",
'hadnt': "hadn't",
"hadnt've": "hadn't've",
"hadn'tve": "hadn't've",
'hasnt': "hasn't",
'havent': "haven't",
'hed': "he'd",
"hed've": "he'd've",
"he'dve": "he'd've",
'hes': "he's",
'howd': "how'd",
'howll': "how'll",
'hows': "how's",
"Id've": "I'd've",
"I'dve": "I'd've",
'Im': "I'm",
'Ive': "I've",
'isnt': "isn't",
'itd': "it'd",
"itd've": "it'd've",
"it'dve": "it'd've",
'itll': "it'll",
"let's": "let's",
'maam': "ma'am",
'mightnt': "mightn't",
"mightnt've": "mightn't've",
"mightn'tve": "mightn't've",
'mightve': "might've",
'mustnt': "mustn't",
'mustve': "must've",
'neednt': "needn't",
'notve': "not've",
'oclock': "o'clock",
'oughtnt': "oughtn't",
"ow's'at": "'ow's'at",
"'ows'at": "'ow's'at",
"'ow'sat": "'ow's'at",
'shant': "shan't",
"shed've": "she'd've",
"she'dve": "she'd've",
"she's": "she's",
'shouldve': "should've",
'shouldnt': "shouldn't",
"shouldnt've": "shouldn't've",
"shouldn'tve": "shouldn't've",
"somebody'd": 'somebodyd',
"somebodyd've": "somebody'd've",
"somebody'dve": "somebody'd've",
'somebodyll': "somebody'll",
'somebodys': "somebody's",
'someoned': "someone'd",
"someoned've": "someone'd've",
"someone'dve": "someone'd've",
'someonell': "someone'll",
'someones': "someone's",
'somethingd': "something'd",
"somethingd've": "something'd've",
"something'dve": "something'd've",
'somethingll': "something'll",
'thats': "that's",
'thered': "there'd",
"thered've": "there'd've",
"there'dve": "there'd've",
'therere': "there're",
'theres': "there's",
'theyd': "they'd",
"theyd've": "they'd've",
"they'dve": "they'd've",
'theyll': "they'll",
'theyre': "they're",
'theyve': "they've",
'twas': "'twas",
'wasnt': "wasn't",
"wed've": "we'd've",
"we'dve": "we'd've",
'weve': "we've",
'werent': "weren't",
'whatll': "what'll",
'whatre': "what're",
'whats': "what's",
'whatve': "what've",
'whens': "when's",
'whered': "where'd",
'wheres': "where's",
'whereve': "where've",
'whod': "who'd",
"whod've": "who'd've",
"who'dve": "who'd've",
'wholl': "who'll",
'whos': "who's",
'whove': "who've",
'whyll': "why'll",
'whyre': "why're",
'whys': "why's",
'wont': "won't",
'wouldve': "would've",
'wouldnt': "wouldn't",
"wouldnt've": "wouldn't've",
"wouldn'tve": "wouldn't've",
'yall': "y'all",
"yall'll": "y'all'll",
"y'allll": "y'all'll",
"yall'd've": "y'all'd've",
"y'alld've": "y'all'd've",
"y'all'dve": "y'all'd've",
'youd': "you'd",
"youd've": "you'd've",
"you'dve": "you'd've",
'youll': "you'll",
'youre': "you're",
'youve': "you've",
}
self.manualMap = {
'zero': 0, 'one': 1, 'two': 2, 'three': 3, 'four': 4,
'five': 5, 'six': 6, 'seven': 7, 'eight': 8, 'nine': 9,
'ten': 10, 'eleven': 11, 'twelve': 12, 'thirteen': 13,
'fourteen': 14, 'fifteen': 15, 'sixteen': 16,
'seventeen': 17, 'eighteen': 18, 'nineteen': 19,
'twenty': 20, 'thirty': 30, 'forty': 40, 'fifty': 50,
'sixty': 60, 'seventy': 70, 'eighty': 80, 'ninety': 90}
self.articles = ['a', 'an', 'the']
self.periodStrip = re.compile('(?!<=\\d)(\\.)(?!\\d)')
self.commaStrip = re.compile('(\\d)(\\,)(\\d)')
self.punct = [
';',
r'/',
'[',
']',
'"',
'{',
'}',
'(',
')',
'=',
'+',
'\\',
'_',
'-',
'>',
'<',
'@',
'`',
',',
'?',
'!',
]
def evaluate(self, answer, gt_answers):
answer = answer.replace('\n', ' ')
answer = answer.replace('\t', ' ')
answer = answer.strip()
answer = self.processPunctuation(answer)
answer = self.processDigitArticle(answer)
if type(gt_answers) == list:
for i in range(len(gt_answers)):
gt_answers[i] = str(gt_answers[i])
gt_answers[i] = gt_answers[i].replace('\n', ' ')
gt_answers[i] = gt_answers[i].replace('\t', ' ')
gt_answers[i] = gt_answers[i].strip()
gt_answers[i] = self.processPunctuation(gt_answers[i])
gt_answers[i] = self.processDigitArticle(gt_answers[i])
if has_word(answer, gt_answers[i]):
return 1
return 0
else:
gt_answers = gt_answers.replace('\n', ' ')
gt_answers = gt_answers.replace('\t', ' ')
gt_answers = gt_answers.strip()
gt_answers = self.processPunctuation(gt_answers)
gt_answers = self.processDigitArticle(gt_answers)
if has_word(answer, gt_answers):
return 1
else:
return 0
def evaluate_MRR(self, answer, gt_answers):
answer = answer.replace('\n', ' ')
answer = answer.replace('\t', ' ')
answer = answer.strip()
answer = self.processPunctuation(answer)
answer = self.processDigitArticle(answer)
assert type(gt_answers) == list
for i in range(len(gt_answers)):
gt_answers[i] = gt_answers[i].replace('\n', ' ')
gt_answers[i] = gt_answers[i].replace('\t', ' ')
gt_answers[i] = gt_answers[i].strip()
gt_answers[i] = self.processPunctuation(gt_answers[i])
gt_answers[i] = self.processDigitArticle(gt_answers[i])
if has_word(answer, gt_answers[i]):
return 1 / (i + 1)
return 0.0
def processPunctuation(self, inText):
outText = inText
for p in self.punct:
if (p + ' ' in inText or ' ' + p in inText) or (
re.search(self.commaStrip, inText) is not None
):
outText = outText.replace(p, '')
else:
outText = outText.replace(p, ' ')
outText = self.periodStrip.sub('', outText, re.UNICODE)
return outText
def processDigitArticle(self, inText):
outText = []
tempText = inText.lower().split()
for word in tempText:
word = self.manualMap.setdefault(word, word)
if word not in self.articles:
outText.append(word)
else:
pass
for wordId, word in enumerate(outText):
if word in self.contractions:
outText[wordId] = self.contractions[word]
outText = [str(text) for text in outText]
outText = ' '.join(outText)
return outText
def is_correct(answer, response):
# response_orig = response
# print(type(answer))
response = response.strip('.')
if isinstance(answer, int):
# print(answer)
if response.isdigit():
return int(int(response) == answer)
response = response.lower()
response = response.replace('the answer is', '')
response = response.replace('*', '') # parse **A**
if response.find('.') != -1:
response = response.split('.')[0]
response = response.replace(',', '')
response = response.strip()
response = response.strip()
if response == 'none':
return 0
if 'the camera is moving left' in response:
response = 'a'
elif 'the camera is moving right' in response:
response = 'b'
if len(response) != 1:
# print(f"Fail to parse {response_orig}")
return 0
# print(ord(response) - ord('a'))
# return 0
return (ord(response) - ord('a')) == answer
if isinstance(answer, list):
try:
response = response.replace('json', '').replace('```', '').strip()
response = json.loads(response)
if isinstance(response, dict):
response = sum(list(response.values()), start=[])
except:
# print(f"Fail to parse {response_orig} Exception: {e}")
return 0
if not isinstance(response, (list, tuple)):
# print(f"Fail to parse {response_orig} Exception: not a list!")
return 0
match = 0
for res, ans in zip(response, answer):
match += res == ans
return match / len(answer)
return VQAEval().evaluate(response, answer)
MMNIAH_score = {
'count-text': 0,
'find-image': 0,
'find-text': 0,
'infer-choose': 0,
'count-image': 0,
'visual-reasoning': 0,
'total': 0,
}
MMNIAH_num = {
'count-text': 0,
'find-image': 0,
'find-text': 0,
'infer-choose': 0,
'count-image': 0,
'visual-reasoning': 0,
'total': 0,
}
final_score_dict = {
'count-text': 0,
'find-image': 0,
'find-text': 0,
'infer-choose': 0,
'count-image': 0,
'visual-reasoning': 0,
'total': 0,
}
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--file-dir', type=str, default='')
args = parser.parse_args()
data = []
for i in ["retrieval-image", "reasoning-image", "counting-image", "counting-text", "retrieval-text", "reasoning-text"]:
with open(os.path.join(args.file_dir, 'InternVL-2.5-8B_mmniah_' + i + '.jsonl'), 'r') as file:
for line in file:
data.append(json.loads(line))
lines = data
for i in range(len(lines)):
# for i in range(1):
line = lines[i]
predict = line['response']
answers = line['answer']
# print("predict =", predict)
# print("answers =", answers)
category = line['category']
lab = is_correct(answers,predict)
if lab:
MMNIAH_score[category] += 1
MMNIAH_score['total'] += 1
MMNIAH_num[category] += 1
MMNIAH_num['total'] += 1
for category in ['find-image', 'count-text', 'find-text', 'infer-choose', 'count-image', 'visual-reasoning', 'total']:
if MMNIAH_num[category] != 0:
final_score_dict[category] = MMNIAH_score[category] / MMNIAH_num[category]
else:
final_score_dict[category] = None
print(final_score_dict)