Download uHumans2 Dataset

download_uHumans2.py

#!/usr/bin/env python3

import os
import errno
import gdown

ids = {"apartment_scene":
       {
           "uHumans2_apartment_s1_00h.bag": '1kU_drpyG7glQ8pJyeztpiy214WbBEtbM',
           "uHumans2_apartment_s1_01h.bag": '1jp7HrRsfGbmC-z757wwXDEpgNPHw0SbK',
           "uHumans2_apartment_s1_02h.bag": '1ai2p6QVNFaPJfEFOOec6URp5Anu0MBoo'
       },
       "office_scene":
       {
           "uHumans2_office_s1_00h.bag": '1CA_1Awu-bewJKpDrILzWok_H_6cOkGDb',
           "uHumans2_office_s1_06h.bag": '1zECekG47mlGafaJ84vCbwcx3Dz03NuvN',
           "uHumans2_office_s1_12h.bag": '1Of7s_QTE9nL1Hd69SFW1R5uDiJDiQrZr'
       },
       "subway_scene":
       {
           "uHumans2_subway_s1_00h.bag": '1ChL1SW1tfZrCjn5XEf4GJG8nm_Cb5AEm',
           "uHumans2_subway_s1_24h.bag": '1ifatqW3hzL9yo8m7Jt3BCqIr-6kzIols',
           "uHumans2_subway_s1_36h.bag": '1xFG565R-9LKXC60Rfx-7fruy3BP4TrHl'
       },
       "neighborhood_scene":
       {
           "uHumans2_neighborhood_s1_00h.bag": '1p_Uv4RLbl1GtjRxu2tldopFRKmgg_Vsy',
           "uHumans2_neighborhood_s1_24h.bag": '1LXloULyuohBzFLumBoScBMlFrT5nRPcE',
           "uHumans2_neighborhood_s1_36h.bag": '1AwgGpqe2g12T2Lm4Nilz4EaNm2_OtfHL'
       }
      }
url = 'https://drive.google.com/uc?id='

def create_full_path_if_not_exists(filename):
    if not os.path.exists(os.path.dirname(filename)):
        try:
            print('Creating non-existent path: %s' % filename)
            os.makedirs(os.path.dirname(filename))
        except OSError as exc: # Guard against race condition
            if exc.errno != errno.EEXIST:
                print("Could not create inexistent filename: " + filename)

def ensure_dir(dir_path):
    """ Check if the path directory exists: if it does, returns true,
    if not creates the directory dir_path and returns if it was successful"""
    if not os.path.exists(dir_path):
        os.makedirs(dir_path)
    return True

def run(args):
    assert(ensure_dir(args.output_dir))
    for dataset_name in ids.keys():
        assert(ensure_dir(os.path.join(args.output_dir, dataset_name)))
        for rosbag_name in ids[dataset_name].keys():
            print("Downloading rosbag: %s" % rosbag_name)
            rosbag_url = url + ids[dataset_name][rosbag_name]
            gdown.download(rosbag_url, os.path.join(args.output_dir, dataset_name, rosbag_name), quiet=False)
    print("Done downloading dataset.")
    return True

def parser():
    import argparse
    basic_desc = "Download uHumans2 dataset in google drive."

    shared_parser = argparse.ArgumentParser(add_help=True, description="{}".format(basic_desc))

    input_opts = shared_parser.add_argument_group("input options")
    output_opts = shared_parser.add_argument_group("output options")

    output_opts.add_argument(
        "--output_dir", type=str, help="Path to the output directory where the datasets will be saved.", required=True)

    main_parser = argparse.ArgumentParser(description="{}".format(basic_desc))
    sub_parsers = main_parser.add_subparsers(dest="subcommand")
    sub_parsers.required = True
    return shared_parser

import argcomplete
import sys
if __name__ == '__main__':
    parser = parser()
    argcomplete.autocomplete(parser)
    args = parser.parse_args()
    if run(args):
        sys.exit(os.EX_OK)

Hi, thank you for the dataset and this script.

I've been able to download the apartment sequences using this script, but I haven't been able to download any of the subway or neighborhood sequences, I get a permission denied error. Eg:

Permission denied: https://drive.google.com/uc?id=1ifatqW3hzL9yo8m7
Maybe you need to change permission over 'Anyone with the link'?

Moreover for two subway sequences uHumans2_office_s1_06h.bag, uHumans2_subway_s1_00h.bag, I get the following error (from gdown):

        Too many users have viewed or downloaded this file recently
        try accessing the file again later. If the file you are try
        access is particularly large or is shared with many people,
        take up to 24 hours to be able to view or download the file
        still can't access a file after 24 hours, contact your doma
        administrator.

Downloading the files individually using the browser works, but is there any other way to download using the command line?

Hi @karnikram,

Thanks for reaching out. I've checked all the links and they are set to Anyone with the link already.
It looks like that link you showed is truncated from the original one: 1ifatqW3hzL9yo8m7Jt3BCqIr-6kzIols.
Do you have an idea of why that happened?

For the other errors, I have also seen that, and I'm afraid that is a limitation from google drive...
I might have to switch to Dropbox to fix this.
Let me know if the problem persists and I'll consider switching.

Thank you!

Toni

Thanks Toni. The id might have been truncated during copy-paste.
Could you instead share the link to the main dataset directory that contains all the files? That way I can copy the directory to my gdrive and from there I should be able to download the files using rclone.
I managed to add the individual files to my own gdrive and then download via CLI using rclone.