0-dependency CLI tool for reproducibly downloading random images.
Project description
# py-lorem-picsum [picsum.photos](https://picsum.photos) 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](https://pip.pypa.io/en/stable/) 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](https://choosealicense.com/licenses/mit/)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for lorempicsum-0.0.6-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b706ed115085d256d9d1165ab30312c7e2e6d0895a06ad1fcfc8e860afa20d32 |
|
MD5 | d7424503f59b87bdc669a15d2e50113a |
|
BLAKE2b-256 | 80e5f331ba7a3ed6ba9f57e73c8bc8653f1f43b989ee7978869cce27558709f7 |