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 | |