semvec/pypi-packages huggingface dataset:
image-trimmer 0.0.10
A tool to crop images and extract text using OCR

# Image Cropping and Text Extraction

This code is designed to crop images and extract text from them using Optical Character Recognition (OCR). It is particularly useful for processing images of documents or forms where specific information needs to be extracted. Please install tesseract ocr first!

## Installation

```bash
pip install image-trimmer
```

## Usage

The code can be run from the command line using the following syntax:

```bash
image-trimmer -i ./path/to/folder -o ./path/to/output -t scb
```


## Example
![Example](https://raw.githubusercontent.com/jaytrairat/python-image-trimmer/main/demo.gif)
generateNscore 1.0.8
A package to generate question sheets in HTML files and to score answers in text files
Requires Python: >=3.7

# generateNscore

<strong>What is it?</strong>

generateNscore is a Python package that provides as many personalized question sheets in HTML files as you want. It aims to be one of fundamental teaching tools.

<strong>Help</strong>
<ul>
<li><a href="https://github.com/generateNscore/generateNscore/wiki">Documentation</a></li>
<li><a href="https://github.com/generateNscore/generateNscore/blob/main/Changelog.md">Changelog</a></li></ul>

<strong>Features</strong>
<ul>
<li>Generates as many personalized question sheets in HTML files as one wants with a few strings of text.</li>
<li>The amount of random personalization is under total control of users.</li>
<li>Each HTML file with a name corresponding to the identification number.</li>
<li>Multi-choice as well as short, default, questions can be made.</li>
<li>A figure, although a pre-made image can be used, can be varied as well as questions.</li>
<li>Mathematical equations can be included in questions with Latex.</li>
<li>User defined functions can be used.</li>
<li>With the question sheets in HTML files, students require only a web browser to answer and send text files including the answers over the network.</li>
<li>Scoring all different answers in text files submitted can be done in a second.</li>
</ul>

<strong>Where to get it</strong>
<ul>
<li>The source code is currently hosted on GitHub at: <a href="https://github.com/generateNscore/generateNscore">https://github.com/generateNscore/generateNscore</a></li>
<br>
<pre lang=sh>pip install generateNscore</pre>

<pre lang=sh>pip install generateNscore --upgrade</pre>
</ul>

<strong>Dependencies</strong>
<ul><li>None</li></ul>

<strong>Example shots</strong>
<li>A short-answer question</li>
<img src="https://generateNscore.github.io/generateNscore/img/example1-3.png">
<li>A multiple-choice question</li>
<img src="https://generateNscore.github.io/generateNscore/img/example1-6.png">
<li>A multiple-choice question with a figure</li>
<img src="https://generateNscore.github.io/generateNscore/img/example1-2.png">
<li>A question with multiple-choice figures</li>
<img src="https://generateNscore.github.io/generateNscore/img/example1-1.png">
<li>A question with equation and with multiple-choices</li>
<img src="https://generateNscore.github.io/generateNscore/img/example1-4.png">
<li>A question with equation and with multiple-choice figures</li>
<img src="https://generateNscore.github.io/generateNscore/img/example1-5.png">