import json import os import tqdm def preprocess(): all_train = json.load(open('trainval.json', 'r')) im_ids = set() for vqa_id, vqa in all_train.items(): im_ids.add(vqa['obs'][0]) move_to_mapping = dict() subfolder_id = 0 subfolder_num_items = 0 max_items = 5000 for im_id in im_ids: move_to_mapping[im_id] = subfolder_id subfolder_num_items += 1 if subfolder_num_items >= max_items: subfolder_id += 1 subfolder_num_items = 0 json.dump(move_to_mapping, open('move_to_mapping.json', 'w'), indent=2) print(len(im_ids)) def refactor(): new_root_folder = 'trainval_obs' if not os.path.exists(new_root_folder): os.makedirs(new_root_folder) move_to_mapping = json.load(open('move_to_mapping.json', 'r')) all_train = json.load(open('trainval.json', 'r')) for vqa_id, vqa in tqdm.tqdm(all_train.items(), total=len(all_train)): im_id = vqa['obs'][0] im_file_name = os.path.basename(im_id) subfolder_id = move_to_mapping[im_id] subfolder_path = os.path.join(new_root_folder, str(subfolder_id)) new_im_path = os.path.join(subfolder_path, im_file_name) if not os.path.exists(subfolder_path): os.makedirs(subfolder_path) if not os.path.exists(new_im_path): #print(f'Moving {im_id} to {new_im_path}') os.rename(im_id, new_im_path) vqa['obs'] = [new_im_path] json.dump(all_train, open('updated_trainval.json', 'w'), indent=2) def sanity_check(): prev_vqas = json.load(open('trainval.json', 'r')) now_vqas = json.load(open('updated_trainval.json', 'r')) assert len(prev_vqas) == len(now_vqas), 'Number of VQAs should be the same after refactoring.' for vqa_id, vqa in now_vqas.items(): assert prev_vqas[vqa_id]['obs'][0] != vqa['obs'][0], 'VQA obs should be updated after refactoring.' old_im_name = os.path.basename(prev_vqas[vqa_id]['obs'][0]) new_im_name = os.path.basename(vqa['obs'][0]) assert old_im_name == new_im_name, 'Image file names should be the same' if __name__ == '__main__': pass