semvec/pypi-packages huggingface dataset:
arkhamdb 0.0.7
Pythonic wrapper around the excellent ArkhamDB API. Designed to be standalone and importable to other projects.
Requires Python: >=3.9,<4.0

# python-arkhamdb

![pypi_license](https://img.shields.io/pypi/l/arkhamdb)[![status-badge](https://ci.jamesveitch.xyz/api/badges/james/python-arkhamdb/status.svg)](https://ci.jamesveitch.xyz/james/python-arkhamdb)[![Read the Docs](https://readthedocs.org/projects/arkhamdb/badge/)](https://arkhamdb.readthedocs.io/)
![pypi_versions](https://img.shields.io/pypi/v/arkhamdb)![pypi_python](https://img.shields.io/pypi/pyversions/arkhamdb)![pypi_downloads](https://img.shields.io/pypi/dm/arkhamdb)

<img src="https://arkhamdb.readthedocs.io/en/latest/_static/logo.svg" width="100" style="float:left;clear:both;margin-right:10px"/> Pythonic wrapper around the excellent [ArkhamDB API](https://arkhamdb.com/api/). Designed to be standalone and importable to other projects.

Documentation can be found at [arkhamdb.readthedocs.io](https://arkhamdb.readthedocs.io). See the [latest](https://arkhamdb.readthedocs.io/en/latest/) branch for the master (stable) code and [develop](https://arkhamdb.readthedocs.io/en/develop/) for current (unstable) working version of the code.

## Simple usage

TODO: add example

## Python Version

This library is tested against Python 3.7+
Sansorchi 5.0.2
Remove Persian (Farsi) Swear Words
Requires Python: >=3.7
Keywords: Improper words,swearing,sansorchi,Sansorchi,سانسور,سانسورچی,فحش,پایتون

<p align="center">
<a href="https://www.codefactor.io/repository/github/mmdbalkhi/sansorchi"><img src="https://www.codefactor.io/repository/github/mmdbalkhi/sansorchi/badge" alt="CodeFactor"></a>
<a href="https://results.pre-commit.ci/latest/github/mmdbalkhi/Sansorchi/main"><img src="https://results.pre-commit.ci/badge/github/mmdbalkhi/Sansorchi/main.svg" alt="pre-commit"></a>
<a href="https://github.com/mmdbalkhi/Sansorchi/actions/workflows/pylint.yml"><img src="https://github.com/mmdbalkhi/Sansorchi/actions/workflows/pylint.yml/badge.svg" alt="pylint"></a>
<a href="https://github.com/mmdbalkhi/Sansorchi/actions/workflows/test.yml"><img src="https://github.com/mmdbalkhi/Sansorchi/actions/workflows/test.yml/badge.svg" alt="test"></a>
</p>

# Sansorchi

## Remove Persian (Farsi) Swear Words

Sansorchi is a program to remove bad and inappropriate words (currently for the Persian language)

<div dir="rtl">

### یاداشت

> برخی از کلمات در ظاهر کلمات بد به حساب نمیان ولی برای کاربردهای خاص ممکنه نیاز به فیلتر شدن داشته باشن که هر کس با توجه به نیاز باید شخصی سازی انجام بده و از این دیتاست استفاده کنه

در صورت علاقه، به تکمیل شدن این دیتاست کمک کنید

از این کتابخونه در فیلتر کردن متن ها در پروژه های خود استفاده کنید و متون پاک و سالمی را داشته باشید

منبع دیتا بیس اصلی [اینجا](https://github.com/amirshnll/Persian-Swear-Words) است .

</div>

### Installation

```bash

pip3 install Sansorchi

```

### usage

- remove badwords

```python
from sansorchi import Sansorchi

sansorchi = Sansorchi()

sansorchi.remove_bad_words("YOUR_TEXT")
```

- check badwords

```python
sansorchi.is_bad_word("YOUR_TEXT")
```

if yourtext has badword return True else return False

### Contributing

See this [file](https://github.com/mmdbalkhi/Sansorchi/blob/main/CONTRIBUTING.md) to contribute
bc-count 0.0.7
Count blood cells
Keywords: python,artificial intelligence,deep learning,blood cells,image segmentation,unet

# Blood Cells Count
Count red, white blood cells to detect various diseases such as blood cancer (leukemia), lower red blood cells (anemia)...

![Sample](sample.png)

<!-- TABLE OF CONTENTS -->
## Table of Contents

* [Project Structure](#project-structure)
* [Install](#install)
* [Usage](#usage)
* [Develop](#develop)
* [License](#license)

## Project Structure
```
bc-count/
|-- bc-count/
|   |-- test/
|   |   |-- test_data.py
|   |   |-- test_main.py
|   |   |-- test_model.py
|   |   
|   |-- data.py
|   |-- main.py
|   |-- model.py
|
|-- bin/
|   |-- bc-count
|
|-- docs/
|
|-- data/
|   |-- rbc/
|   |-- wbc/
|
|-- models/
|
|-- AUTHORS
|-- LICENSE
|-- README.md
|-- TODO.md
|-- requirements.txt 
|-- setup.py
```

## Install
- Install straight from PyPI using pip:
```
$ pip install bc-count
```
## Usage
> Please read `bc-count --help` before using it
> -o flag is optional (defaults to out/ directory)
- Count blood cells (-r for red and -w for white):
```
$ bc-count -r <blood-cell-image>
```
- Predict blood cell image:
```
$ bc-count predict -r <blood-cell-image>
```
- Train a new model:
```
$ bc-count train -r <model-name>
```

## Develop
- Download the project:
```
$ git clone https://github.com/nemo256/bc-count
$ cd bc-count
```
- Activate virtual environment:
```
$ python -m venv venv
$ source venv/bin/activate
$ pip install -r requirements.txt
```
- Now just adapt the code to your need and then run using the command:
```
$ python bc-count/main.py
```

## License
- Please read cell-count/LICENSE.