Datasets:
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 | |