배치 사이즈 2 기준 {'meta': [ { 'header': '/home/song/Desktop/workshop/K-Radar_data', 'seq': '1', 'label_v1_0': '/home/song/Desktop/workshop/K-Radar_data/1/info_label/00340_00308.txt', 'label_v1_1': './tools/revise_label/kradar_revised_label_v1_1/1_info_label_revised/00340_00308.txt', 'label_v2_0': './tools/revise_label/kradar_revised_label_v2_0/KRadar_refined_label_by_UWIPL/1/00340_00308.txt', 'label_..
kradar 데이터에서 nuscenes data format 형식으로 json 파일 생성. sample.json 마지막 줄의 comma를 지워줘야 함. 1. sample.json #sample.json import os import json from collections import OrderedDict file_data = OrderedDict() with open('sample.json', 'a+', encoding="utf-8") as make_file: make_file.write('[') make_file.write('\n') for j in range(1, 59): seq = os.path.join('seq_' + str(j)) path_dir = os.path.join('./'+str(j))..
nuscenes data format으로 만들기 위해 kradar 기존 데이터 파일에 token정보를 추가하였음. import os for j in range(1, 59): seq = os.path.join('seq_' + str(j)) path_dir = os.path.join('./'+str(j)) file_list = os.listdir(path_dir) #create token list for prev, next tkn_list = [''] for i in file_list: tkn = os.path.join(seq + '_'+i[:-4]) tkn_list.append(tkn) tkn_list.append('') #read kradar format, append token information f..
# Initialize NuScenes object. # We do not store it in self to let garbage collection take care of it and save memory. nusc = NuScenes(version=nusc_version, verbose=verbose, dataroot=nusc_dataroot) nusc가 필요한 부분을 정리 1. load.gt() gt_boxes = load_gt(nusc, self.eval_set, TrackingBox, verbose=verbose) sample.json['token'] # Read out all sample_tokens in DB. sample_tokens_all = [s['token'] for s in nus..
