Update pages/Data Collection.py

pages/Data Collection.py

@@ -760,7 +760,7 @@ elif st.session_state.current_page == "image_operations":
     st.code("""
     # Merging individual color channels (Blue, Green, Red)
     merged_image = cv2.merge([blue_channel, green_channel, red_channel]) 
-    # blue_channel, green_channel, red_channel are single-channel images representing individual color channels (Blue, Green, Red)
+    # blue_channel,green_channel,red_channel are single-channel images representing individual color channels(Blue, Green, Red)
     """, language="python")
     
     # Heading for Creating RGB Image
@@ -781,6 +781,7 @@ elif st.session_state.current_page == "image_operations":
     
     # Code example
     st.code("""
+    
     # Create individual color channels
     b = np.full((300, 300), 255, dtype=np.uint8)  # Blue channel
     g = np.zeros((300, 300), dtype=np.uint8)     # Green channel
@@ -799,6 +800,50 @@ elif st.session_state.current_page == "image_operations":
     cv2.destroyAllWindows()  # Close all OpenCV windows
     """, language="python")
 
+    # Heading for Splitting Channels
+    st.markdown("""
+        <h3 style="color: #9400d3;">Splitting Channels</h3>
+    """, unsafe_allow_html=True)
+    
+    # About cv2.split() function
+    st.write("""
+    The `cv2.split()` function in OpenCV is used to divide an image into its individual color channels.  
+    It creates separate single-channel arrays for each color, allowing you to work with them independently.  
+    For example, it can split an RGB image into its Red, Green, and Blue channels.
+    """)
+    
+    # Syntax for cv2.split() function
+    st.code("""
+    # Syntax for cv2.split()
+    channels = cv2.split(image)
+    # image: The input image (e.g., an RGB image).
+    # channels: A list of single-channel images (e.g., Blue, Green, Red).
+    """, language="python")
+
+    # Heading for the section
+    st.markdown("""
+        <h3 style="color: #9400d3;">Splitting and Merging Color Channels</h3>
+    """, unsafe_allow_html=True)
+    
+    # Code Example for Splitting and Merging Color Channels
+    st.code("""
+    img = cv2.imread(r"P:\\BSG(P)\\7b144ce3dff5652ff59f2eb694eba472.jpg")   # Read the image
+    
+    b, g, r = cv2.split(img)  # Split the image into Blue, Green, and Red channels
+    
+    zeros = np.zeros(img.shape[:-1], dtype=np.uint8)   # Create a zeros array to hold the empty channels
+    
+    blue_channel = cv2.merge([b, zeros, zeros])    # Merge the Blue channel with zeros for Green and Red
+    green_channel = cv2.merge([zeros, g, zeros])   # Merge the Green channel with zeros for Blue and Red
+    red_channel = cv2.merge([zeros, zeros, r])     # Merge the Red channel with zeros for Blue and Green
+    
+    # Display the individual color channels and the original image
+    cv2.imshow("Blue_channel", blue_channel)
+    cv2.imshow("Green_channel", green_channel)
+    cv2.imshow("Red_channel", red_channel)
+    cv2.imshow("Original_img", cv2.merge([b, g, r]))
+    cv2.waitKey(0)
+    cv2.destroyAllWindows()
 
 elif st.session_state.current_page == "explore_audio":
     st.markdown("""