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import csv
import os
count_corr = [0,0,0,0]
invalid = [0,0,0,0]
for level in [1,3,5,7]:
with open("../level%d/annotation.txt"%(level), "r") as f:
gt_records = f.read().split('\n')[:-1]
for test_id in range(100):
try:
with open("output/output_img/level%d/%d.txt"%(level, test_id), "r") as f:
answer = f.read()
plan_answer_index = answer.find("<Output>")
answer = answer[plan_answer_index+len("<Output>"):]
answer = answer.replace('"', '')
answer = answer.replace("'", '')
answer = answer.replace("\n", '')
answer = answer.replace(".", '')
answer = answer.lstrip()
answer = answer.rstrip()
answer = answer.lower()
if answer == 'yes' and str(test_id) in gt_records:
count_corr[level//2] += 1
# print(test_id)
elif answer == 'no' and str(test_id) not in gt_records:
count_corr[level//2] += 1
# print(test_id)
# else:
# print(answer, test_id)
except:
invalid[level//2] += 1
print(count_corr)
print(invalid)
# import ipdb; ipdb.set_trace()
# pass
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