Skip to main content

Bulk-download all thumbnails from an ImageNet synset, with optional rescaling

Project description

Command-line utility for downloading all thumbnail images from an ImageNet synset, optionally rescaling to a different resolution.

NOTICE: ImageNet downloads are currently offline. This is an upstream issue and out of my control. From the relevant announcement:

While conducting our study, since January 2019 we have disabled downloads of the full ImageNet data, except for the small subset of 1,000 categories used in the ImageNet Challenge. We are in the process of implementing our proposed remedies.

Usage

Usage: imagenetscraper [OPTIONS] SYNSET_ID [OUTPUT_DIR]

Options:
  -c, --concurrency INTEGER  Number of concurrent downloads (default: 8).
  -s, --size WIDTH,HEIGHT    If specified, images will be rescaled to the
                             given size.
  -q, --quiet                Suppress progress output.
  -h, --help                 Show this message and exit.
  --version                  Show the version and exit.

If the URL of a synset page looks like:

http://image-net.org/synset?wnid=n00000000
                                 ^^^^^^^^^
                                 SYNSET_ID

SYNSET_ID is the n00000000 part. For example, for the “person, individual, someone, somebody, mortal, soul” synset at http://image-net.org/synset?wnid=n00007846, the corresponding synset id is n00007846.

The default output directory (OUTPUT_DIR) is the current directory.

Examples

To download all thumbnail imagess from the synset mentioned above to the directory “person_images”, run:

imagenetscraper n00007846 person_images

To do the same, but with each thumbnail image rescaled to a width of 256 and a height of 128, add --size 256,128:

imagenetscraper n00007846 person_images --size 256,128

To run in “quiet mode”, suppressing progress output, add --quiet:

imagenetscraper n00007846 person_images --size 256,128 --quiet

By default, imagenetscraper will download 8 images at once. To change this, use --concurrency:

imagenetscraper n00007846 person_images --size 256,128 --concurrency 4

Install

  1. Install Python 3, pip, and a development version of libjpeg. imagenetscraper is tested with Python 3.4-3.7 and libjpeg-turbo 8.

    sudo apt-get install python3 python3-pip libjpeg-turbo8-dev
    
  2. Download and install imagenetscraper with pip.

    sudo -H pip3 install imagenetscraper
    

Citation

If this tool helped with your research, a citation would be appreciated:

@Misc{imagenetscraper,
author = {Michael Smith},
title = {imagenetscraper: Bulk-download thumbnails from ImageNet synsets},
howpublished = {\url{https://github.com/spinda/imagenetscraper}},
year = {2017}
}

Testing

To run unit tests, use:

python3 setup.py test

License

Copyright (C) 2017-2018 Michael Smith <michael@spinda.net>

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see <http://www.gnu.org/licenses/>.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for imagenetscraper, version 1.0.2
Filename, size File type Python version Upload date Hashes
Filename, size imagenetscraper-1.0.2-py3-none-any.whl (17.8 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size imagenetscraper-1.0.2.tar.gz (16.7 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page