plant-disease-lib 0.1.3

A library for plant disease detection using deep learning

plant_disease_lib

A Python library for plant disease detection using deep learning (CNN) and supplementary treatment information.

Features

• Predict plant disease from leaf images using deep learning models
• Return disease name, description, treatment/prevention steps, and recommended supplements
• CSV-based metadata lookup for diseases and supplements
• Torch-based model loading and inference
• Easily extensible for new disease classes and models

Installation

Install via pip once released on PyPI:

pip install plant_disease_lib

Or clone the repository:

git clone https://github.com/P-r-a-n-a-v-N-a-i-r/plant-disease-lib.git cd plant-disease-lib pip install -e .

Usage

from plant_disease_lib import PlantDiseasePredictor

predictor = PlantDiseasePredictor( model_path='models/cnn_model.pth', disease_csv_path='data/disease_info.csv', supplement_csv_path='data/supplement_info.csv', num_classes=39 )

result = predictor.predict_with_metadata('test_image.jpg') print(result)

Example result output: { "index": 12, "disease_title": "Tomato Early Blight", "description": "...", "prevent": "...", "image_url": "...", "supplement_name": "...", "supplement_image_url": "...", "supplement_buy_link": "https://example.com" }