cucumberify 1.1.1

Cucumber is a free and lightweight vision classifier to detect nsfw, gore, scam, neutral from images

Cucumber 🥒

Cucumber is a free and lightweight python library to detect nsfw, gore, scam, neutral from images. It utilizes machine learning vision model to do so.

Installation

pip install cucumberify

NOTE FOR WINDOWS USER: This library uses a small compiled extension on Windows (sdist install). So you must install Microsoft Visual C++ Build Tools first.

1. Download and install: https://visualstudio.microsoft.com/visual-cpp-build-tools/

2. During setup, select: "Desktop development with C++"

3. Then run:

python -m pip install --upgrade pip setuptools wheel
pip install cucumberify

Example usage (Local Image)

from cucumberify import cucumber
print(cucumber("car.jpg"))

Response example

{'nsfw': 0.0, 'gore': 0.0, 'scam': 0.0, 'neutral': 1.0}

Example usage (Image URL)

from cucumberify import cucumber
print(cucumber('https://cdni.lamalinks.com/1280/1/171/32937397/32937397_001_8121.jpg'))

Response example

{'nsfw': 0.9, 'gore': 0.0, 'scam': 0.0, 'neutral': 0.0}

Note that the values are floating points between 0 and 1

Made with ♥️ by Blaze

Feel free to DM me on discord if there's any issues :>