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import numpy as np
from skimage.metrics import structural_similarity as ssim
import gradio as gr
import cv2
# Function to calculate SSIM between two images
def calculate_similarity(img1, img2):
if len(img1.shape) == 2:
img1 = cv2.cvtColor(img1, cv2.COLOR_GRAY2RGB)
if len(img2.shape) == 2:
img2 = cv2.cvtColor(img2, cv2.COLOR_GRAY2RGB)
return ssim(img1, img2, win_size=3)
# Function to handle the Gradio interface
def image_similarity(img1, img2):
img1 = img1.astype(np.uint8)
img2 = img2.astype(np.uint8)
similarity_score = calculate_similarity(img1, img2)
result = f"Similarity Score: {similarity_score:.4f}"
return result
# Prepare Gradio interface
iface = gr.Interface(
fn=image_similarity,
inputs=[
gr.inputs.Image(type="numpy", label="Image 1"),
gr.inputs.Image(type="numpy", label="Image 2")
],
outputs="text",
title="Image Similarity Calculator",
description="Upload two images to compute their similarity."
)
# Launch the interface
iface.launch()
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