Update pages/Data Collection.py

pages/Data Collection.py

@@ -475,11 +475,81 @@ elif st.session_state.current_page == "explore_images_video":
     st.image(
         "https://huggingface.co/spaces/LakshmiHarika/MachineLearning/resolve/main/Images/rgb_3.jpg",
         use_container_width=True)
+
+        st.write("""
+    In the next section, we'll dive into the exciting world of **image processing using OpenCV**. We'll cover how to:
+    - **Load, view, and edit images** using code.
+    - Learn the **basic tools and techniques** used in computer vision.
+    - Discover ways to **transform images and extract useful information**. 🖼️✨
+    
+    Curious to see how?👇Click here to start your journey into OpenCV Basics!🚀
+    """)
     
     # Go Back Button
     if st.button("Go Back"):
         navigate_to("main")
 
+    if st.button("Explore Image Operations with OpenCV"):
+    navigate_to("opencv_operations")
+
+        # Navigation for OpenCV Operations Page
+    elif st.session_state.current_page == "opencv_operations":
+        # Page Title
+        st.markdown("""
+            <h2 style="color: #BB3385;">Image Operations with OpenCV</h2>
+        """, unsafe_allow_html=True)
+    
+        # Introduction to OpenCV
+        st.write("""
+            OpenCV (Open Source Computer Vision Library) is a powerful library used for image processing and computer vision tasks.
+            It provides various methods for handling images, such as reading, displaying, and modifying them.
+        """)
+    
+        # Basic OpenCV Methods
+        st.markdown("""
+            <h3 style="color: #e25822;">Basic Operations:</h3>
+        """, unsafe_allow_html=True)
+    
+        st.write("""
+            - **`cv2.imread()`**: Reads an image from a file and returns it as a NumPy array.
+            - **`cv2.imshow()`**: Displays an image in a window.
+            - **`cv2.imwrite()`**: Saves an image to a specified file.
+            - **`cv2.resize()`**: Resizes an image to the desired dimensions.
+            - **`cv2.cvtColor()`**: Converts an image from one color space to another.
+        """)
+    
+        # Example Code
+        st.markdown("""
+            <h3 style="color: #5b2c6f;">Example Code:</h3>
+        """)
+    
+        st.code("""
+    import cv2
+    
+    # Read an image
+    image = cv2.imread("path/to/your/image.jpg")
+    
+    # Display the image
+    cv2.imshow("Image", image)
+    cv2.waitKey(0)
+    cv2.destroyAllWindows()
+    
+    # Save the image
+    cv2.imwrite("output_image.jpg", image)
+    
+    # Resize the image
+    resized_image = cv2.resize(image, (100, 100))
+    
+    # Convert to grayscale
+    gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+        """, language="python")
+    
+        # Go Back Button
+        if st.button("Go Back to Home Page"):
+            navigate_to("main")
+
+
+