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</h2>
+        <h2 style="color: #BB3385;">Introduction to OpenCV(Open Source Computer Vision Library)</h2>
     """, unsafe_allow_html=True)
     
     # Informative Content
@@ -505,6 +505,43 @@ elif st.session_state.current_page == "opencv_operations":
     - OpenCV allows us to work with both **images and videos**, making it a versatile tool for various computer vision applications.
     """)
 
+    # What is OpenCV Section
+    st.markdown("""
+        <h2 style="color: #BB3385;">What is OpenCV?</h2>
+    """, 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:
+    - **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.
+    
+    OpenCV is cross-platform, free to use, and designed for high performance, making it an essential tool for computer vision projects.
+    """)
+
+    # Installing OpenCV Section
+    st.markdown("""
+        <h2 style="color: #BB3385;">Installing OpenCV</h2>
+    """, unsafe_allow_html=True)
+    
+    st.write("""
+    To start working with OpenCV, you need to install it in your Python environment. Here’s how:
+    """)
+    
+    st.write("1. Install OpenCV using pip:")
+    st.code("pip install opencv-python", language="bash")
+    
+    st.write("2. Import OpenCV in your Python script:")
+    st.code("""
+    import cv2
+    print(cv2.__version__)  # This will display the installed OpenCV version
+    """, language="python")
+
+
+
+