Update pages/7_Unstructured_data.py

pages/7_Unstructured_data.py

@@ -637,33 +637,33 @@ if file_type == "VIDEO🎥":
     ''')
 
     st.subheader("**Key Methods in Video Capturing**")
-        st.markdown("""
-        Here are some key methods used in video capturing with OpenCV:
-        - **`cv2.VideoCapture()`**: Opens the video source, either a camera (index 0 for default webcam) or a video file path.
-        - **`read()`**: Reads frames from the video stream. It returns a boolean value and the frame (`frame`).
-        - **`release()`**: Releases the video capture object and closes the video stream.
-        - **`cv2.namedWindow()`**:It actually creates a pop-up window and all the features of pop-up window will be created
-        - **`cv2.imshow()`**: As it is not creating pop-up window ,it internally calls the namedWindow() where we can create our own pop-up window
-        - **`cv2.waitKey()`**: It internally creates a po-up window and for that window it is going to add delay 
-        
-        - Waits for a key event for a specified amount of time (in milliseconds). It returns the ASCII value of the key pressed.
+    st.markdown("""
+    Here are some key methods used in video capturing with OpenCV:
+    - **`cv2.VideoCapture()`**: Opens the video source, either a camera (index 0 for default webcam) or a video file path.
+    - **`read()`**: Reads frames from the video stream. It returns a boolean value and the frame (`frame`).
+    - **`release()`**: Releases the video capture object and closes the video stream.
+    - **`cv2.namedWindow()`**:It actually creates a pop-up window and all the features of pop-up window will be created
+    - **`cv2.imshow()`**: As it is not creating pop-up window ,it internally calls the namedWindow() where we can create our own pop-up window
+    - **`cv2.waitKey()`**: It internally creates a po-up window and for that window it is going to add delay 
+        
+    - Waits for a key event for a specified amount of time (in milliseconds). It returns the ASCII value of the key pressed.
             
-        -If 0 is passed, it waits indefinitely until a key is pressed.
-        - **`cv2.destroyAllWindows()`**: Closes all OpenCV windows that were opened during the program's execution.
-        - **`cv2.MouseCallBack()`**: It is a technique where we can make lot of things automated
-        - **`cv2.SetMouseCallBack()`**:It will be automatically activated when we hover the mouse inside pop-up window.
+    -If 0 is passed, it waits indefinitely until a key is pressed.
+    - **`cv2.destroyAllWindows()`**: Closes all OpenCV windows that were opened during the program's execution.
+    - **`cv2.MouseCallBack()`**: It is a technique where we can make lot of things automated
+    - **`cv2.SetMouseCallBack()`**:It will be automatically activated when we hover the mouse inside pop-up window.
 
-        -It is going to call user-defined function which tracks the events of mouse 
-        - It contains 5 parameters
-        - **5 parameters:**
-        - def fun(event,x,yflags,param):
-        - **Event**: It is going to track all windows what event has performed inside pop-up window
-        - **x,y**: x,y are rows and columns 
-        - **flags**: It is used to track an event where we can include additional features
-        - **param**: It is used to add additional functions
-        
-        These methods are useful in forming the foundation of real-time video processing in OpenCV, 
-        and also Essential for handling the display and closing of images in OpenCV applications. 
-        """)
+    -It is going to call user-defined function which tracks the events of mouse 
+    - It contains 5 parameters
+    - **5 parameters:**
+    - def fun(event,x,yflags,param):
+    - **Event**: It is going to track all windows what event has performed inside pop-up window
+    - **x,y**: x,y are rows and columns 
+    - **flags**: It is used to track an event where we can include additional features
+    - **param**: It is used to add additional functions
+        
+    These methods are useful in forming the foundation of real-time video processing in OpenCV, 
+    and also essential for handling the display and closing of images in OpenCV applications. 
+    """)