Update pages/Data Collection.py

pages/Data Collection.py

@@ -494,7 +494,7 @@ elif st.session_state.current_page == "explore_images_video":
 elif st.session_state.current_page == "opencv_operations":
     # Introduction to OpenCV Page
     st.markdown("""
-        <h2 style="color: #BB3385;">Introduction to OpenCV(Open Source Computer Vision Library)</h2>
+        <h2 style="color: #BB3385;">OpenCV(Open Source Computer Vision Library)</h2>
     """, unsafe_allow_html=True)
     
     # Informative Content
@@ -507,13 +507,13 @@ elif st.session_state.current_page == "opencv_operations":
 
     # What is OpenCV Section
     st.markdown("""
-        <h2 style="color: #BB3385;">What is OpenCV?</h2>
+        <h3 style="color: #2a52be;">What is OpenCV?</h3>
     """, unsafe_allow_html=True)
     
     st.write("""
     OpenCV, short for **Open Source Computer Vision Library**, is a popular open-source library designed for real-time computer vision and image processing tasks. 
     
-    ### Key Points:
+    **Key Points**:
     - **Purpose**: OpenCV helps provide artificial vision to machines, enabling them to understand and process visual information like images and videos.
     - **Features**: OpenCV allows you to work with images and videos for tasks like transformation, filtering, and enhancement. It also supports real-time processing, making it ideal for dynamic applications.
     - **Applications**: Commonly used in tasks such as image recognition, motion detection, video analytics, and robotics.
@@ -523,7 +523,7 @@ elif st.session_state.current_page == "opencv_operations":
 
     # Installing OpenCV Section
     st.markdown("""
-        <h2 style="color: #BB3385;">Installing OpenCV</h2>
+        <h3 style="color: #2a52be;">Installing OpenCV</h3>
     """, unsafe_allow_html=True)
     
     st.write("""