| import re |
| import json |
| import os |
|
|
| import torch.distributed as dist |
|
|
| import utils |
|
|
| def pre_caption(caption,max_words=50): |
| caption = re.sub( |
| r"([.!\"()*#:;~])", |
| ' ', |
| caption.lower(), |
| ) |
| caption = re.sub( |
| r"\s{2,}", |
| ' ', |
| caption, |
| ) |
| caption = caption.rstrip('\n') |
| caption = caption.strip(' ') |
|
|
| |
| caption_words = caption.split(' ') |
| if len(caption_words)>max_words: |
| caption = ' '.join(caption_words[:max_words]) |
| |
| return caption |
|
|
| def pre_question(question,max_ques_words=50): |
| question = re.sub( |
| r"([.!\"()*#:;~])", |
| '', |
| question.lower(), |
| ) |
| question = question.rstrip(' ') |
| |
| |
| question_words = question.split(' ') |
| if len(question_words)>max_ques_words: |
| question = ' '.join(question_words[:max_ques_words]) |
| |
| return question |
|
|
|
|
| def save_result(result, result_dir, filename, remove_duplicate='', distributed=True): |
| result_file = os.path.join(result_dir, '%s_rank%d.json'%(filename,utils.get_rank())) |
| final_result_file = os.path.join(result_dir, '%s.json'%filename) |
| json.dump(result,open(result_file,'w', encoding='utf-8'), ensure_ascii=False) |
|
|
| if distributed: |
| dist.barrier() |
|
|
| if utils.is_main_process(): |
| |
| result = [] |
|
|
| for rank in range(utils.get_world_size()): |
| result_file = os.path.join(result_dir, '%s_rank%d.json'%(filename,rank)) |
| res = json.load(open(result_file,'r')) |
| result += res |
|
|
| if remove_duplicate: |
| result_new = [] |
| id_list = [] |
| for res in result: |
| if res[remove_duplicate] not in id_list: |
| id_list.append(res[remove_duplicate]) |
| result_new.append(res) |
| result = result_new |
| |
| json.dump(result,open(final_result_file,'w', encoding='utf-8'), ensure_ascii=False) |
| print('result file saved to %s'%final_result_file) |
|
|
| return final_result_file |
