Update pages/Data Collection.py

pages/Data Collection.py

@@ -808,6 +808,10 @@ elif st.session_state.current_page == "image_operations":
     cv2.destroyAllWindows()  # Close all OpenCV windows
     """, language="python")
 
+    st.image(
+        "https://huggingface.co/spaces/LakshmiHarika/MachineLearning/resolve/main/Images/Merging%20rgb.png",
+        use_container_width=True)
+
     # Heading for Splitting Channels
     st.markdown("""
         <h3 style="color: #e25822;">Splitting Channels</h3>
@@ -853,6 +857,10 @@ elif st.session_state.current_page == "image_operations":
     cv2.waitKey(0)
     cv2.destroyAllWindows()""", language="python")
 
+    st.image(
+        "https://huggingface.co/spaces/LakshmiHarika/MachineLearning/resolve/main/Images/splitting_rgb_img.png",
+        use_container_width=True)
+
     st.write("Once you upload an image, it will be split into its color channels (Blue, Green, and Red), with each channel displayed separately. You can then download the processed image.")
 
     # Allow user to upload an image
@@ -911,6 +919,10 @@ elif st.session_state.current_page == "image_operations":
     # Converting an RGB image to Grayscale
     gray_img = cv2.cvtColor(rgb_image, cv2.COLOR_BGR2GRAY)""", language="python")  # Convert from BGR to Grayscale
 
+    st.image(
+        "https://huggingface.co/spaces/LakshmiHarika/MachineLearning/resolve/main/Images/rgb_to_grayscale.png",
+        use_container_width=True)
+
     
     st.write("""
     In the next section, we will dive into **video processing using OpenCV**. We will explore how to: