Support for non-nested/non recursive download and other options in donwlaod_cadcd.py

[rvalienter90]

Hi, @mpitropov thanks for your great dataset and work!
This may be helpful if someone needs to download the dataset not nested. Sometimes it would be more convenient. Also allowing for keeping zip files.
Thanks!,

download_cadcd.zip

#!/usr/bin/env python

import os, sys, wget, zipfile
from pathlib import Path
import argparse

cadcd = {
    '2018_03_06': [
        '0001', '0002', '0005', '0006', '0008', '0009', '0010',
        '0012', '0013', '0015', '0016', '0018'
    ],
    '2018_03_07': [
        '0001', '0002', '0004', '0005', '0006', '0007'
    ],
    '2019_02_27': [
        '0002', '0003', '0004', '0005', '0006', '0008', '0009', '0010',
        '0011', '0013', '0015', '0016', '0018', '0019', '0020',
        '0022', '0024', '0025', '0027', '0028', '0030',
        '0031', '0033', '0034', '0035', '0037', '0039', '0040',
        '0041', '0043', '0044', '0045', '0046', '0047', '0049', '0050',
        '0051', '0054', '0055', '0056', '0058', '0059',
        '0060', '0061', '0063', '0065', '0066', '0068', '0070',
        '0072', '0073', '0075', '0076', '0078', '0079',
        '0080', '0082'
    ]
}

def convert(args):
    dataset_path = args.dataset_path
    root_dir = Path(dataset_path + '/cadcd')
    dataset_path = str(root_dir.absolute())
    root_dir.mkdir(parents=True, exist_ok=True)
    for date in cadcd:
        print(date)
        date_path = os.path.join(dataset_path, date)
        date_dir = Path(date_path)
        date_dir.mkdir(parents=True, exist_ok=True)

        # Download calibration for this date
        os.chdir(date_path)
        calib_url = 'http://wiselab.uwaterloo.ca/cadcd_data/' + date + '/calib.zip'
        calib_filename = wget.download(calib_url)
        # Extract files
        zip = zipfile.ZipFile(calib_filename)
        zip.extractall()
        zip.close()
        # Delete zip file
        if not args.keep_zip:
            os.remove(calib_filename)

        for drive in cadcd[date]:
            print(drive)
            os.chdir(date_path)
            drive_path = drive

            drive_dir = Path(drive_path)
            drive_dir.mkdir(parents=True, exist_ok=True)

            # Download drive
            os.chdir(drive_path)
            base_url = 'http://wiselab.uwaterloo.ca/cadcd_data/' + date + '/' + drive
            if not args.raw:
                data_url = base_url + '/labeled.zip'
                ann_3d_url = base_url + '/3d_ann.json'
                ann_3d_filename = wget.download(ann_3d_url)
            else:
                data_url = base_url + '/raw.zip'
            data_filename = wget.download(data_url)

            # Extract files
            zip = zipfile.ZipFile(data_filename)
            zip.extractall()
            zip.close()

            # Delete zip file
            if not args.keep_zip:
                os.remove(data_filename)


if __name__ == "__main__":
    parser = argparse.ArgumentParser(description="Donwload CADC Dataset")
    parser.add_argument(
        "-d",
        "--dataset_path",
        type=str,
        default="Data",
        help="Path to store the dataset  (default: Data)",
    )
    parser.add_argument(
        "-r",
        "--raw",
        action="store_true",
        help="True->Downloading labeled data; False->Downloading raw data (default: False)"
    )
    parser.add_argument(
        "-k",
        "--keep_zip",
        action="store_true",
        help="True->Keeping zip data ; False->Removing zip data  (default: False)"
    )

    args = parser.parse_args()

    if not args.raw:
        print('Downloading labeled data')
    else:
        print('Downloading raw data')

    convert(args)

[mpitropov]

This could close #4 and #8.

Did you want to open a PR to the repo or have me add the code in myself?

[rvalienter90]

Done, thanks!