Update pages/Data Collection.py

pages/Data Collection.py

@@ -918,11 +918,11 @@ def video_details_page():
         st.title("Unstructured Data - Video Details")
 
         # Title
-        st.markdown("<h3 style='text-align: center; color: #9400d3;'>Understanding Video and Frame Rates</h3>", unsafe_allow_html=True)
+        st.markdown("<h3 style='text-align: center; color: #FF00FF;'>Understanding Video and Frame Rates</h3>", unsafe_allow_html=True)
 
         
         # Definition of Video
-        st.markdown("<h3 style='text-align: center; color: #9400d3;'>What is video?</h3>", unsafe_allow_html=True)
+        st.markdown("<h3 style='text-align: center; color: #FF00FF;'>What is video?</h3>", unsafe_allow_html=True)
 
         
         st.write("""
@@ -936,7 +936,7 @@ 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: #9400d3;'>Understanding Video Processing with OpenCV</h3>", unsafe_allow_html=True)
+        st.markdown("<h3 style='text-align: center; color: #FF00FF;'>Understanding Video Processing with OpenCV</h3>", unsafe_allow_html=True)
 
         st.write("""
         **Load the Video**
@@ -976,7 +976,7 @@ def video_details_page():
         
         # Use st.markdown to display the explanation
 
-        st.markdown("<h3 style='text-align: center; color: #9400d3;'>Understanding `vid.read()`</h3>", unsafe_allow_html=True)
+        st.markdown("<h3 style='text-align: center; color: #FF00FF;'>Understanding `vid.read()`</h3>", unsafe_allow_html=True)
 
 
         st.markdown("""        
@@ -988,7 +988,7 @@ 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: #9400d3;'>Understanding `cv2.waitkey()`</h3>", unsafe_allow_html=True)
+        st.markdown("<h3 style='text-align: center; color: #FF00FF;'>Understanding `cv2.waitkey()`</h3>", unsafe_allow_html=True)
 
         st.markdown("""
 
@@ -1051,7 +1051,7 @@ def video_details_page():
         cv2.destroyAllWindows()  # Removing all the temporary memory (RAM)
         """, language="python")
 
-        st.markdown("<h3 style='text-align: center; color: #FF0000;'>Splitting video into 3 Different channels (B,G,R)</h3>", unsafe_allow_html=True)
+        st.markdown("<h3 style='text-align: center; color: #FF00FF;'>Splitting video into 3 Different channels (B,G,R)</h3>", unsafe_allow_html=True)
     
 
 
@@ -1175,7 +1175,6 @@ def video_details_page():
 
         st.markdown("""
         - The image captured by the webcam is divided into three parts: Red, Green, and Blue. This is done using `cv2.split()`
-        # Create Separate Channel Images:
         - The separate Red, Green, and Blue images are then combined back into three full-color images using `cv2.merge()`.
         - This lets us see each color channel on its own, but in full color.
         """)