semvec/pypi-packages huggingface dataset:
logo2cc 0.1.5
Convert images to black and white (no gray) to use as custom logos on Stripe credit cards.
Requires Python: >=3.7

# logo2cc

logo2cc is a Python library for converting images to black and white (no gray) for use as custom logos on Stripe credit cards. 

**Processing Pipeline:** Applies a slight Gaussian blur, resizes it to fit a maximum dimension of 1000×200 pixels, and centers it on a white canvas.

## Installation

1. Clone this repository or download the files.
2. In the same directory as `setup.py`, run:
   ```bash
   pip install logo2cc
   ```

   or to install in editable mode:

   ```bash
   pip install -e logo2cc
   ```

## Usage

```py
from logo2cc.converter import convert_to_black_and_white

# Convert an image to black & white and save it
convert_to_black_and_white("input_image.png", "output_image.png", threshold=128)
```

Real-world demo: https://github.com/VerisimilitudeX/logo2cc-demo

---

## How to Install and Use

1. **Install**  
   In your terminal, change directory (`cd`) into the location of `setup.py`, then run:
   ```bash
   pip install logo2cc
   ```

2. **Import and Call**  
   In your Python script or REPL:
    ```py
    from logo2cc.converter import convert_to_black_and_white

    convert_to_black_and_white("input.png", "output.png", threshold=128)
    ```
pycheckoapi 0.2.170125
Full implementation of checko.ru API functions in Python
Requires Python: >=3.10
Keywords: osint

![РёР·РѕР±СЂР°Р¶РµРЅРёРµ](https://github.com/user-attachments/assets/0fa9b735-d9c1-4047-a2e1-43efb20965d4)



# Python Checko API

Full implementation of [checko.ru](https://checko.ru/) API functions in Python

This is a site where you can find any information about Russian legal entities and individual entrepreneurs.

## Features

- Easy to use
- Inculdes All API functions
- Useful for OSINT scripts

### Requirements

- Python 3.10+

- API-key of [checko.ru](https://checko.ru)

- [Requests library](https://docs.python-requests.org/en/latest/index.html)



## Installation

Install pycheckoapi with pip

```bash
  pip install pycheckoapi
```

Install pycheckoapi with git

```bash
git clone https://github.com/webcartel-https/pycheckoapi
cd pycheckoapi
python setup.py
```


## Usage

[Documentation](https://github.com/webcartel-https/pycheckoapi/wiki/%D0%94%D0%BE%D0%BA%D1%83%D0%BC%D0%B5%D0%BD%D1%82%D0%B0%D1%86%D0%B8%D1%8F)