pages/Info _of_Image.py

import streamlit as st
import pandas as pd
import numpy as np

# Custom CSS for styling
custom_css = """
<style>
    html, body, [data-testid="stAppViewContainer"] {
        background-image: linear-gradient(
            rgba(0, 0, 0, 0.6), 
            rgba(0, 0, 0, 0.6)
        ), 
        url("https://www.istockphoto.com/photo/tech-or-space-background-abstract-3d-illustration-gm1367865109-437999705?utm_source=pixabay&utm_medium=affiliate&utm_campaign=SRP_photo_sponsored&utm_content=https%3A%2F%2Fpixabay.com%2Fphotos%2Fsearch%2Fbackground%2520datascience%2F&utm_term=background+datascience.jpg");
        background-size: cover;
        background-position: center;
        background-repeat: no-repeat;
        background-attachment: fixed;
        color: white;  /* Ensures all text is readable */
    }
    h2, h3 {
        color: #FFD700; /* Gold color for headings */
    }
    p {
        color: #FFFFFF; /* White text for paragraphs */
    }
</style>
"""

# Inject the CSS into the app
st.markdown(custom_css, unsafe_allow_html=True)
st.markdown("<h2 style='text-align: left; color: Black;'>What is IMAGE</h2>", unsafe_allow_html=True)
st.markdown(
    "<p style='font-size: 16px; color: White; font-style: italic;'>"
    "An image is a visual depiction of a subject, such as a person, object, scene, or idea, created or captured through means like photography, drawing, painting, or digital tools. It can take various forms, including photographs, illustrations, artworks, or computer-generated visuals."
    "</p>", 
    unsafe_allow_html=True
)
st.markdown("<h2 style='text-align: left; color: Black;'>Features of IMAGE</h2>", unsafe_allow_html=True)
st.markdown(
    "<p style='font-size: 16px; color: White; font-style: italic;'>"
    "Pixels: Images are composed of small dots called pixels, each containing color data that together create the overall image."
    "</p>", 
    unsafe_allow_html=True
)
st.markdown(
    "<p style='font-size: 16px; color: White; font-style: italic;'>"
    "File Formats: Images can be stored in different formats,"
    "JPEG/JPG: Widely used for photographs and online images due to their efficient balance between quality and file size."
    "PNG: Preferred for high-quality visuals or images requiring transparency, such as logos."
    "GIF: Commonly utilized for basic animations or compact graphics."
    "</p>", 
    unsafe_allow_html=True
)
st.markdown("<h2 style='text-align: left; color: Black;'>Basic Operations in IMAGE</h2>", unsafe_allow_html=True)
st.markdown(
    "<p style='font-size: 16px; color: White; font-style: italic;'>"
    "For performing this Basic Operations we use cv2 function from opencv library"
    "cv2 is the Python module for OpenCV (Open Source Computer Vision Library), a powerful library used for computer vision and image processing tasks. It provides a wide range of tools and algorithms for analyzing and manipulating images and videos."
    "</p>", 
    unsafe_allow_html=True
)
st.markdown("<h3 style='text-align: left; color: Black;'>Why cv2 is Used</h3>", unsafe_allow_html=True)
st.markdown(
    "<p style='font-size: 16px; color: White; font-style: italic;'>"
    "cv2 is used for various ways like:"
    "1.Image Processing"
    "2.Video Analysis"
    "3.Feature Detection"
    "4.Image Transformations"
    "</p>", 
    unsafe_allow_html=True
)
st.markdown("<h3 style='text-align: left; color: Black;'>Operations Used</h3>", unsafe_allow_html=True)
st.markdown("1.imread()")
st.markdown("2.imshow()")
st.markdown("3.imwrite()") 
st.markdown("4.cv2.waitkey()")
st.markdown("5.destroyallwindows()")

# Add a link to the code
st.markdown(
    "<p style='font-size: 16px; color: White;'>"
    "You can view and run the code in Colab: "
    "<a href='https://colab.research.google.com/drive/1fvP-k70HJnp1iCN7Vs-tkfFs8vq--WGc?usp=sharing' target='_blank' style='color: #FFD700;'>Colab Notebook</a>"
    "</p>", 
    unsafe_allow_html=True
)