Update pages/Data Collection.py

pages/Data Collection.py

@@ -915,14 +915,9 @@ def image_details_page():
 # Unstructured Data - Video Page
 def video_details_page():
            
-        st.title("Unstructured Data - Video Details")
-
-        # Title
-        st.markdown("<h3 style='text-align: left; color: #FF00FF;'>Understanding Video and Frame Rates</h3>", unsafe_allow_html=True)
-
         
         # Definition of Video
-        st.markdown("<h3 style= color: #FF00FF;'>What is video?</h3>", unsafe_allow_html=True)
+        st.markdown("<h3 style='text-align: left; color: #FF00FF;'>What is video?</h3>", unsafe_allow_html=True)
 
         
         st.write("""
@@ -936,20 +931,20 @@ def video_details_page():
         The higher the number of frames per second, the smoother the video will look. Fewer frames per second can make the video appear less smooth or choppy.
         """)
 
-        st.markdown("<h3 style='text-align: center; color: #FF00FF;'>Understanding Video Processing with OpenCV</h3>", unsafe_allow_html=True)
+        st.markdown("<h3 style='text-align: left; color: #FF00FF;'>Understanding Video Processing with OpenCV</h3>", unsafe_allow_html=True)
 
         st.write("""
         **Load the Video**
-        - OpenCV uses `cv2.VideoCapture()` to load a video file. This function takes the file path of the video and opens it so that we can work with it.
-        
+        - Load Video: Use `cv2.VideoCapture()` with the video file path to load and open the video.
+
         **Read Frames**
-        -To process the video, we read each individual frame. OpenCV provides a loop to go through every frame in the video. Inside the loop, the `read()` function grabs each frame until the video reaches the end.
+        - Read Frames: OpenCV reads each video frame in a loop using the read() function until the video ends. 
         
         **Display Frames**
-        -To simulate video playback, OpenCV uses `cv2.imshow()` to display each frame one by one. This function shows the images in a sequence, making it look like the video is playing.
+        - Frames are displayed sequentially with cv2.imshow(), simulating video playback.
         
         **Exit Playback**
-        -You can exit the playback at any time by pressing a key. A common practice is to check if a specific key (like 'q') is pressed during the playback. If the key is detected, the video stops, and the program ends the loop.
+        - Press a key (e.g., 'q') to stop playback and exit the loop.
         """)
         
         st.code("""
@@ -976,7 +971,7 @@ def video_details_page():
         
         # Use st.markdown to display the explanation
 
-        st.markdown("<h3 style='text-align: center; color: #FF00FF;'>Understanding `vid.read()`</h3>", unsafe_allow_html=True)
+        st.markdown("<h3 style='text-align: left; color: #FF00FF;'>Understanding `vid.read()`</h3>", unsafe_allow_html=True)
 
 
         st.markdown("""        
@@ -988,7 +983,7 @@ def video_details_page():
           2. **`img`**: The actual frame (image) from the video, which is in the form of a NumPy array. This image can then be processed just like any regular picture.
         """)
 
-        st.markdown("<h3 style='text-align: center; color: #FF00FF;'>Understanding `cv2.waitkey()`</h3>", unsafe_allow_html=True)
+        st.markdown("<h3 style='text-align: left; color: #FF00FF;'>Understanding `cv2.waitkey()`</h3>", unsafe_allow_html=True)
 
         st.markdown("""
 
@@ -1051,7 +1046,7 @@ def video_details_page():
         cv2.destroyAllWindows()  # Removing all the temporary memory (RAM)
         """, language="python")
 
-        st.markdown("<h3 style='text-align: center; color: #FF00FF;'>Splitting video into 3 Different channels (B,G,R)</h3>", unsafe_allow_html=True)
+        st.markdown("<h3 style='text-align: left; color: #FF00FF;'>Splitting video into 3 Different channels (B,G,R)</h3>", unsafe_allow_html=True)
     
 
 
@@ -1098,7 +1093,7 @@ def video_details_page():
         cv2.destroyAllWindows()  # Remove temporary windows
         """, language="python")
              
-        st.markdown("<h3 style='text-align: center; color: #ffa500;'>Live Streaming with Webcam</h3>", unsafe_allow_html=True)
+        st.markdown("<h3 style='text-align: left; color: #ffa500;'>Live Streaming with Webcam</h3>", unsafe_allow_html=True)
 
     
 
@@ -1140,7 +1135,7 @@ def video_details_page():
         """, language="python")
 
 
-        st.markdown("<h3 style='text-align: center; color: #ffa500;'>Dual Webcam Stream `Color vs Grayscale Capture`</h3>", unsafe_allow_html=True)
+        st.markdown("<h3 style='text-align: left; color: #ffa500;'>Dual Webcam Stream `Color vs Grayscale Capture`</h3>", unsafe_allow_html=True)
 
         st.markdown("""
         - 1. The first webcam displays the original video feed from the camera.
@@ -1169,7 +1164,7 @@ def video_details_page():
         cv2.destroyAllWindows()
                 """,language = "python")
 
-        st.markdown("<h3 style='text-align: center; color: #ffa500;'> Webcam Stream with RGB Channel Separation</h3>", unsafe_allow_html=True)
+        st.markdown("<h3 style='text-align: center; left: #ffa500;'> Webcam Stream with RGB Channel Separation</h3>", unsafe_allow_html=True)
 
 
 
@@ -1208,7 +1203,7 @@ def video_details_page():
         
         """,language="python")
 
-        st.markdown("<h3 style='text-align: center; color: #ffa500;'>Webcam Frame Capture and Save</h3>", unsafe_allow_html=True)
+        st.markdown("<h3 style='text-align: left; color: #ffa500;'>Webcam Frame Capture and Save</h3>", unsafe_allow_html=True)