zoopy 0.0

A Python library for animal data analysis

ZooPy: A Python Library for Animal Data Analysis

Overview

ZooPy is a simple Python library with a concise API designed for analyzing and processing biological data related to animals. It provides tools for working with datasets, performing image recognition etc.

Data

The data was collected from Wikipedia and contains the languages:

• 🇷🇺 Russian

Library Structure

Installation

To install ZooPy, run:

pip install zoopy

Usage

Getting started:

from zoopy import animal

cat = animal.Animal('кошка', 'ru')
cat.display()

ZooPy has interfaces for several pre-trained models, for example, ImageNet

import cv2

img = cv2.imread('img/duck.jpg')
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)

cv2.imshow(img)

from zoopy import models

model = models.ImageClassification()
print(model.predict(img))

Output: albatross

Create different graphics

from zoopy import animal, viz

turtle = animal.Animal('черепаха', 'ru')
viz.plot_classification(turtle)

For more information see docs.

Dependencies

• pandas>=2.2.0
• matplotlib>=3.9.0
• tqdm>=4.66.0
• Levenshtein>=0.26.0
• numpy>=1.26.4
• torch>=2.4.0
• torchvision>=0.19.0

Contact

Contact me by Mail or Telegram.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contributing

See the CONTRIBUTING file if you want to help the project.