feature['geometry']['coordinates'][0])
new_phrase_dict['phrase'] = feature['NameAfterDictionary']
new_phrase_dict['rects'] = [new_gt_rect]
new_phrase_dict['orientation'] = Orientation.ISOLATED
new_phrase_dict['matching'] = [[]]
new_phrase_dict['found'] = ['False']
new_phrase_dict['editing'] = [(0, 0, 0, 0)]
gt_list.append(new_phrase_dict)
return gt_list
if __name__ == '__main__':
groundTruthFile = sys.argv[1]
resultFile = sys.argv[2]
output_file = open("../Output/matching_list.txt", "w")
result_obj = load_json_file(resultFile)
gt_list = load_result_as_ground_truth(result_obj)
gt_list = list(reversed(gt_list))
result_rect_list = get_result_rectangles(result_obj)
ret = ResultEvaluation.find_result_ground_truth_correspondence(gt_list, result_rect_list)
matching_lists = ret[0]
for ml in matching_lists:
for m in ml:
output_str = str(m[0])
output_file.write(output_str)
output_file.write("\n")
output_file.write("\n")
