fcakyon / streamlit-image-comparison

Image comparison slider component for Streamlit

Home Page:https://huggingface.co/spaces/fcakyon/streamlit-image-comparison

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Streamlit Image Comparison Component

pypi version HuggingFace Spaces

A simple Streamlit Component to compare images with a slider in Streamlit apps using Knightlab's JuxtaposeJS. It accepts images in any format and makes it possible to set all parameters of the JS component via Python. Live demo at Huggingface Spaces

Installation

  • Install via pip:
pip install streamlit
pip install streamlit-image-comparison

Example

# Streamlit Image-Comparison Component Example

import streamlit as st
from streamlit_image_comparison import image_comparison

# set page config
st.set_page_config(page_title="Image-Comparison Example", layout="centered")

# render image-comparison
image_comparison(
    img1="image1.jpg",
    img2="image2.jpg",
)

Supported Image Formats

# image path
image = "image.jpg"

# image url
image = "https://some-url.com/image.jpg"

# pil image
from PIL import Image
image = Image.open("image.jpg")

# opencv image
import cv2
image = cv2.cvtColor(cv2.imread("image.jpg"), cv2.COLOR_BGR2RGB)

# render image-comparison
image_comparison(
    img1=image,
    img2=image,
)

Customization

image_comparison(
    img1="image1.jpg",
    img2="image2.jpg",
    label1="text1",
    label2="text1",
    width=700,
    starting_position=50,
    show_labels=True,
    make_responsive=True,
    in_memory=True,
)

Improvements

What is the difference between this repo and robmarkcole's?

  • This is a pypi installable package
  • This does not require the images to be saved under site-packages/streamlit/static/
  • This accepts any type of image as input (doesn't have to be present in local)
  • This can utilize all parameters of the JS component
  • This has an additional dependency sahi

References

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About

Image comparison slider component for Streamlit

https://huggingface.co/spaces/fcakyon/streamlit-image-comparison

License:MIT License


Languages

Language:Python 100.0%