Update pages/7_Unstructured_data.py

pages/7_Unstructured_data.py

@@ -133,17 +133,20 @@ if file_type == "IMAGE":
         st.markdown("""
         - OpenCV allows users to perform basic operations like reading, displaying, and saving images.
         - Along with that it also performs resizing, cropping, and filtering of images based on requirements.
-        - **Key Functions:** 
-        <ul class="icon-bullet">
-            <li>imread() </li>
-            <li>imshow() </li>
-            <li>imwrite() </li>
-        </ul>
-        
-        - **imread()**: Reads an image from the disk, storing it as an array.
-        - **imshow()**: Displays the image in a window, allowing for easy visualization.
-        - **imwrite()**: Saves the image to a specified location on your storage.
+        - **Key Functions:** `imread()`, `imshow()`, `imwrite()`")
+        - **`imread()`**: Reads an image from the disk, storing it as an array.
+        - **`imshow()`**: Displays the image in a window, allowing for easy visualization.
+        - **`imwrite()`**: Saves the image to a specified location on your storage.
+        ```python
+        # Example Usage of OpenCV Functions
+        image = cv2.imread('path')  # Reads an image - it always converts to 3D array which uses RGB color space
+        cv2.imshow('Image', array)      # Displays the image - Creates a pop-up window --> give any name in string format - and then take the array and display
+        cv2.waitKey()                  # It adds a delay --> for how many milliseconds the pop-up window should be active in screen
+        cv2.destroyAllWindows()         # To remove from RAM --> automatically removes from RAM
+        cv2.imwrite('output.jpg', image)  # Saves the image to a file
+        cv2.resize(image)        # Resizes an image to a given dimension.
         """, unsafe_allow_html=True)
+        
 
         
     elif data_type1 == "Color Space":