Update pages/Data Collection.py

pages/Data Collection.py

@@ -559,10 +559,10 @@ elif st.session_state.current_page == "opencv_operations":
     import cv2
     
     # Read the image
-    image = cv2.imread('path_to_image.jpg')  # Replace 'path_to_image.jpg' with the image file path
+    img = cv2.imread('path_to_image.jpg')  # Replace 'path_to_image.jpg' with the image file path
     
     # Display the numerical matrix
-    print(image)  # This will print the image as an array of pixel values
+    print(img)  # This will print the image as an array of pixel values
     """, language="python")
     
     # Explanation for Grayscale Conversion
@@ -576,10 +576,10 @@ elif st.session_state.current_page == "opencv_operations":
     import cv2
     
     # Read the image in grayscale
-    gray_image = cv2.imread('path_to_image.jpg', 0)  # Replace 'path_to_image.jpg' with your image file path
+    gray_img = cv2.imread('path_to_image.jpg', 0)  # Replace 'path_to_image.jpg' with your image file path
     
     # Display the numerical matrix for the grayscale image
-    print(gray_image)  # This will print the 2D array representing pixel intensity
+    print(gray_img)  # This will print the 2D array representing pixel intensity
     """, language="python")
 
     # Displaying Images with OpenCV in Custom Color
@@ -615,9 +615,9 @@ elif st.session_state.current_page == "opencv_operations":
     
     st.code("""
     # imshow()
-    cv2.imshow(window_name, image_array)
+    cv2.imshow(window_name, img_array)
     # window_name: The title of the pop-up window
-    # image_array: The image data (Array)
+    # img_array: The image data (Array)
     
     # waitKey()
     cv2.waitKey(delay_in_milliseconds)
@@ -629,6 +629,45 @@ elif st.session_state.current_page == "opencv_operations":
     # This ensures all windows opened by imshow() are cleared from RAM
     """, language="python")
 
+    # Heading for Saving Images
+    st.markdown("""
+        <h3 style="color: #9400d3;">Saving an Image</h3>
+    """, unsafe_allow_html=True)
+    
+    # About imwrite() function
+    st.write("""
+    To save an image file in OpenCV, we use the **imwrite()** function.  
+    It converts the numerical array (image data) back into an image file format, such as `.jpg`, `.png`, or `.bmp`.
+    """)
+    
+    # Code example
+    st.code("""
+    import cv2
+    
+    # Example: Save an image
+    cv2.imwrite('saved_image.jpg', image_array)  # 'saved_image.jpg' is the name of the output file
+    print("Image saved successfully!")
+    """, language="python")
+
+    st.write("""
+    In the next section, we'll take a closer look at **image creation and manipulation using OpenCV**. We'll discuss:
+    - **Creating different types of images** (black-and-white, grayscale, and RGB).
+    - **Splitting images** into individual channels.
+    - **Converting images** between various color spaces.
+    
+    Curious to learn more?👇Click below to continue your journey with OpenCV! 🚀
+    """)
+    
+    # Button to navigate to the next page
+    if st.button("Explore Image Creation and Manipulation"):
+        navigate_to("image_operations")
+    
+    # Go Back Button
+    if st.button("Back to Previous Page"):
+        navigate_to("main")
+
+    
+
 
 
 elif st.session_state.current_page == "explore_audio":