image-comparer 1.0.1

Compares two images using siamese networks

py-image-comparer

Compares two images using Siamese Network trained from a Pytorch Implementation

Installation

To install, run

pip install image-comparer

Usage

CLI

image-compare

which wil show the follow help screen

usage: image-compare [-h] [--threshold THRESHOLD] Image1-Path Image2-Path

For example, you can compare two images with

image-compare tests/images/kobe.jpg tests/images/kobe2.jpg 

which gives the result

kobe.jpg and kobe2.jpg are not similar

Programmatically

With PIL

import image_comparer
from PIL import Image

image = Image.open("test/kobe.jpg")
image2 = Image.open("test/kobe2.jpg")
image_comparer.is_similar(image, image2, threshold=0.5)

or with OpenCV

import image_comparer
import cv2

image = cv2.imread("test/kobe.jpg")
image2 = cv2.imread("test/kobe2.jpg")
image_comparer.is_similar(image, image2, threshold=0.5)

Development

Installation

pip install -r requirements-test.txt

Tests

To run tests, run

pytest