semvec/pypi-packages huggingface dataset:
image_cleaner 0.1.2
remove metadata from images to enhance privacy
License: MIT
Keywords: privacy,metadata,images,exif

[![PyPI version](https://badge.fury.io/py/image-cleaner.svg)](https://badge.fury.io/py/image-cleaner)
[![Python Support](https://img.shields.io/pypi/pyversions/image-cleaner.svg)](https://pypi.org/project/image-cleaner/)

Remove all metadata from images in a given folder.

Images can contain lots of metadata. Most critical to privacy might be GPS
coordinates and date / time. You might consider doing so before you upload them
on public websites.

`image_cleaner` removes all metadata from all images in a given folder.


## Installation and Dependencies

You need to install [Pillow](http://pillow.readthedocs.org/installation.html):

```bash
$ pip install Pillow
```

Now install image cleaner

```bash
$ pip install image_cleaner
```

And call it: `image_cleaner --help`
django-user-images 0.1.0
Django app for managing user files uploads and permissions
License: MIT
Keywords: django-user-images

=============================
Django User Images
=============================

.. image:: https://badge.fury.io/py/django-user-images.svg
    :target: https://badge.fury.io/py/django-user-images

Django app for managing user files uploads, permissions and limits


Quickstart
----------

Install Django User Images::

    pip install django-user-images

Add it to your `INSTALLED_APPS`:

.. code-block:: python

    INSTALLED_APPS = (
        ...
        'django_user_images',
        ...
    )

If you want to use it with DRF, use django-user-images.rest:

.. code-block:: python

    INSTALLED_APPS = (
        ...
        'django_user_images.rest',
        ...
    )

Configuration
-------------

* USER_IMAGE_ONE_FILE_LIMIT - limit one file size upload in bytes
* USER_IMAGES_LIMIT - limit total file size per user, static in bytes
* USER_IMAGES_LIMITER - limit total file size per user, dynamic. Should be a string pointing to function, accepting user instance and returning limit in bytes


Credits
-------

Tools used in rendering this package:

*  Cookiecutter_
*  `cookiecutter-djangopackage`_

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`cookiecutter-djangopackage`: https://github.com/pydanny/cookiecutter-djangopackage




History
-------

0.1.0 (2018-06-06)
++++++++++++++++++

* First release on PyPI.
random-audio 1.0.1
CLI tool to generate a mash-up of audio clips
License: MIT

# random_audio

A Python CLI tool to generate a mash-up of audio clips. An excellent use case is when you have potentially embarassing audio clips of your friends and you'd like to embarass them further.

## Installation

Run `pip install random_audio`.

## Usage

```
usage: random_audio [-h] [-s A B] [-n N] [-o O] [-v] directory

Make a randomized mash-up of audio clips.

positional arguments:
  directory   Directory to read audio files from, must contain only the audio
              files.

optional arguments:
  -h, --help  show this help message and exit
  -s A B      Each clip is speeded up X times, where X is A random number
              between A and B. A and B must be greater than 1, and A less than
              B. Omit this option to have all clips play at normal speed.
              (default: None)
  -n N        Number of times a random clip is picked and added to the mash-
              up. (default: 15)
  -o O        Name of output file. (default: output.mp3)
  -v          Enable verbose mode. (default: False)
```

### Example Usage

All audio clips are in a folder `audio/` in the current directory, we want to output to `masterpiece.mp3` and want our clips to be speeded up by a factor in the range 2-3:

`random_audio -s 2 3 -o masterpiece.mp3 audio/`