A Python library for animal data analysis
Project description
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)
Contact
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