semvec/pypi-packages huggingface dataset:
imdix 0.0.4
Dynamic image resizing tool
License: MIT

# Imdix : Dynamic image file resizing tool

### This tool automatically resizes the image file according to your needs, Let's say you have an image file of size 2 MB and you need to reduce size to 300 KB, use `imdix`

### Install
```python
pip install --upgrade imdix 
```

### Usage
```bash
usage: dx [-h] --image IMAGE --size SIZE [--output OUTPUT] [--ext EXT]

Dynamic image file resizer

optional arguments:
  -h, --help            show this help message and exit
  --image IMAGE, -i IMAGE
                        Path to image file
  --size SIZE, -s SIZE  Target output size
  --output OUTPUT, -o OUTPUT
                        Output file name
  --ext EXT, -x EXT     Extension of output file
```

### Example
#### Let's reduce this car image
![by https://unsplash.com/@olav_tvedt @ https://unsplash.com/photos/6lSBynPRaAQ](images/car_500.jpg)

<p align="center">
    by <a href="https://unsplash.com/@olav_tvedt">Olav</a> @ <a href="https://unsplash.com/photos/6lSBynPRaAQ">Unsplash</a>
</p>

```bash
dx --image images/car_500.jpg --size 5000 # all output sized must be in KBs
```
Output
```bash
[ERROR] Target size(5000 KB) greater than file size(500 KB)
```
Yes, we're going to reduce a 500 KB file. Let's reduce it to 200 KB
```bash
dx --image image/car_500.jpg --size 200 --output car_200
```
output
```bash
[INFO] Resize complete...
[INFO] Filename: images/car_200.jpg, Size: 200
```
Output file
![output_200KB](images/car_200.jpg)
<p align="center">This image of size 200KB</p>
#### imdix is set to produce images of size: target +/- 2KB

#### You can also specify output filename and extension(although it doesn't make any difference)
zacieraczka 0.4.3
Zacieraczka package for optimizing mashing process
License: MIT
Requires Python: >=3.5.9

# Introduction 
TODO: Give a short introduction of your project. Let this section explain the objectives or the motivation behind this project. 

# Getting Started
TODO: Guide users through getting your code up and running on their own system. In this section you can talk about:
1.	Installation process
2.	Software dependencies
3.	Latest releases
4.	API references

# Build and Test
TODO: Describe and show how to build your code and run the tests. 

# Contribute
TODO: Explain how other users and developers can contribute to make your code better. 

If you want to learn more about creating good readme files then refer the following [guidelines](https://docs.microsoft.com/en-us/azure/devops/repos/git/create-a-readme?view=azure-devops). You can also seek inspiration from the below readme files:
- [ASP.NET Core](https://github.com/aspnet/Home)
- [Visual Studio Code](https://github.com/Microsoft/vscode)
- [Chakra Core](https://github.com/Microsoft/ChakraCore)
unicornhatmini 0.0.2
Python library for the unicornhatmini 17x7 RGB LED matrix
License: MIT
Requires Python: >= 2.7
Keywords: Raspberry Pi

# Unicorn HAT Mini

[![Build Status](https://travis-ci.com/pimoroni/unicornhatmini-python.svg?branch=master)](https://travis-ci.com/pimoroni/unicornhatmini-python)
[![Coverage Status](https://coveralls.io/repos/github/pimoroni/unicornhatmini-python/badge.svg?branch=master)](https://coveralls.io/github/pimoroni/unicornhatmini-python?branch=master)
[![PyPi Package](https://img.shields.io/pypi/v/unicornhatmini.svg)](https://pypi.python.org/pypi/unicornhatmini)
[![Python Versions](https://img.shields.io/pypi/pyversions/unicornhatmini.svg)](https://pypi.python.org/pypi/unicornhatmini)

# Requirements

You must enable SPI on your Raspberry Pi:

* Run: `sudo raspi-config nonint do_spi 0`

# Installing

Stable library from PyPi:

* Just run `sudo pip3 install unicornhatmini`

Or for Python 2:

* `sudo pip install unicornhatmini`

Latest/development library from GitHub:

* `git clone https://github.com/pimoroni/unicornhatmini-python`
* `cd unicornhatmini-python`
* `sudo ./install.sh`


# Changelog
0.0.2
-----

* Fix for Pi kernel 5.4.51, removed cshigh setting from SPI setup

0.0.1
-----

* Initial Release