https://github.com/pyaf/nuscenes_viz GitHub - pyaf/nuscenes_viz: A tool to visualize nuscenes format dataset in 3D using mayavi A tool to visualize nuscenes format dataset in 3D using mayavi - GitHub - pyaf/nuscenes_viz: A tool to visualize nuscenes format dataset in 3D using mayavi github.com mayavi based 3D visualization tool for Nuscenes dataset. Requirements $pip install -U lyft_dataset_sdk ..
https://github.com/zzzxxxttt/simple_kitti_visualization GitHub - zzzxxxttt/simple_kitti_visualization: simple visualization scripts for Kitti and Semantic Kitti dataset simple visualization scripts for Kitti and Semantic Kitti dataset - GitHub - zzzxxxttt/simple_kitti_visualization: simple visualization scripts for Kitti and Semantic Kitti dataset github.com Requirements python >= 3.6 numpy matp..
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..
