Skip to main content

0-dependency CLI tool for reproducibly downloading random images.

Project description

# py-lorem-picsum []( is a brilliant API written by David Marby & Nijiko Yonskai. This library/tool is a little helper for downloading images in a easy and experimentally reproducable way from their API.

I would use this in image labeling ML tasks to ensure that my model can adequately detects non-relevant data.

## Installation Assuming you have Python3 installed, simply use the package manager [pip]( to install py-lorem-picsum.

pip install lorempicsum

## Usage

python -m lorempicsum

–folder myimages –number 100 –seed 42 –size 300

## Contributing Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

## Tests

Run via unittest module:

python -m unittest

## License [MIT](

Project details

Download files

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

Source Distribution

lorempicsum-0.0.11.tar.gz (4.1 kB view hashes)

Uploaded source

Built Distribution

lorempicsum-0.0.11-py3-none-any.whl (4.8 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page