plant-disease-classification

A Python module that classifies disease on plants. You can classify plant images from Python or from the command line with a simple classification library.

Built using Deep Learning and Convolutional Networks models trained here.

This also provides a simple plant disease classification command line tool that lets you do face recognition on a folder of images from the command line.

Installation

You can install plant-disease-classification using:

$ pip install plant-disease-classification

Getting the code

The code is hosted at https://github.com/abdullahselek/plant-disease-classification

Check out the latest development version anonymously with:

$ git clone git://github.com/abdullahselek/plant-disease-classification.git
$ cd plant-disease-classification

To install dependencies, run either:

$ pip install -r requirements.txt

To install the minimal dependencies for production use (i.e., what is installed with pip install plant-disease-classification) run:

$ pip install -r requirements.txt

Usage

Classification using Python

from plant_disease_classification import api

# Classification with image path
result = api.classify(image_path="YOUR_IMAGE_PATH")

# Classification with image data
result = api.classify(image_data=YOUR_IMAGE_DATA)

Classification via CLI

python -m plant_disease_classification -p testdata/4507d7a208e839e34466ba7d7bdb144e.jpg

python -m plant_disease_classification -d BASE64_ENCODED_IMAGE_DATA

Metadata

Release files for plant-disease-classification 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for plant-disease-classification 0.2.0
File	Interpreter	ABI	Platform	Reset
plant_disease_classification-0.2.0-py3-none-any.whl 8.1 kB Jan 17, 2021	Python 3	none	any	Details

Release files / plant_disease_classification-0.2.0-py3-none-any.whl

Download URL	plant_disease_classification-0.2.0-py3-none-any.whl
Size	8.1 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`5e0c9ff154cdf1a30003aaee738778ef6bdb0bf047d08bfcf767d75dbe505849`
BLAKE2b-256 checksum How to use checksums	`47e9516ecdb7ee7b503c8b2e3bb36881e0eefd99bde894c451f39b95377ac1b9`
Upload date	Jan 17, 2021
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.2`