Update pages/7_Unstructured_data.py

pages/7_Unstructured_data.py

@@ -129,7 +129,7 @@ if file_type == "IMAGE":
         - Especially images are handled by pil --> pillow
         - These operations are essential for tasks such as image processing, computer vision.
         """)
-        
+        st.subheader('**Image Operations**')
         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.
@@ -142,7 +142,7 @@ if file_type == "IMAGE":
         - **`imwrite()`**: Saves the image to a specified location on your storage.
         ```python
         # Example Usage of OpenCV Functions
-        
+        import cv2
         image = cv2.imread('path')  
         # Reads an image - it always converts to 3D array which uses RGB color space
         
@@ -161,6 +161,23 @@ if file_type == "IMAGE":
         cv2.resize(image)        
         # Resizes an image to a given dimension.
         """, unsafe_allow_html=True)
+
+        st.subheader('**Image to Tabular Data**')
+        st.markdown('''
+        - Basically there are 5 steps to convert a iamge into tabular data
+        - **Image** which is in 2D format converts into array uses color space(gray) using a image operation `imread()`.
+        - **Array** which can be of any dimension so to make sure that every array having same dimension or (pixels) we use `resize()` operation
+        - **Resize** which can be done in 2 ways which are `Compression` and `Expansion`
+        - **`Compression`** - It removes pixels which has a disadvantage of loosing the information
+        - **`Expansion`** - It adds rows or columns which has a disadvantage of adding noise 
+        - lots of information is lost --> type of features lost are **Spatial Features**
+        - **Flatten** after resizing the image it converts every nd array to 1D array
+        - **Concatenation** after flattening the array then concatenate every 1D array 
+
+        ---> So that image is converted into tabular data
+        - Images ------> Array ------> Resize ------> Flatten ------>Concatenation
+        - using thse steps images are converted into tabular data
+        ''')
         
 
         
@@ -173,7 +190,7 @@ if file_type == "IMAGE":
             <li>Gray Scale Color Space </li>
             <li>RGB Color Space </li>
         </ul>
-    """, unsafe_allow_html=True)
+        """, unsafe_allow_html=True)
         st.header('**Black & White Color Space**')
         st.markdown('''
         - It preserves only two colors which are **black(0) and white(1)**