Update pages/Data Collection.py

pages/Data Collection.py

@@ -492,64 +492,61 @@ elif st.session_state.current_page == "explore_images_video":
     if st.button("Explore Image Operations with OpenCV"):
     navigate_to("opencv_operations")
 
-        # Navigation for OpenCV Operations Page
-    elif st.session_state.current_page == "opencv_operations":
-        # Page Title
-        st.markdown("""
-            <h2 style="color: #BB3385;">Image Operations with OpenCV</h2>
-        """, unsafe_allow_html=True)
-    
-        # Introduction to OpenCV
-        st.write("""
-            OpenCV (Open Source Computer Vision Library) is a powerful library used for image processing and computer vision tasks.
-            It provides various methods for handling images, such as reading, displaying, and modifying them.
-        """)
-    
-        # Basic OpenCV Methods
-        st.markdown("""
-            <h3 style="color: #e25822;">Basic Operations:</h3>
-        """, unsafe_allow_html=True)
-    
-        st.write("""
-            - **`cv2.imread()`**: Reads an image from a file and returns it as a NumPy array.
-            - **`cv2.imshow()`**: Displays an image in a window.
-            - **`cv2.imwrite()`**: Saves an image to a specified file.
-            - **`cv2.resize()`**: Resizes an image to the desired dimensions.
-            - **`cv2.cvtColor()`**: Converts an image from one color space to another.
-        """)
-    
-        # Example Code
-        st.markdown("""
-            <h3 style="color: #5b2c6f;">Example Code:</h3>
-        """)
-    
-        st.code("""
-    import cv2
-    
-    # Read an image
-    image = cv2.imread("path/to/your/image.jpg")
-    
-    # Display the image
-    cv2.imshow("Image", image)
-    cv2.waitKey(0)
-    cv2.destroyAllWindows()
-    
-    # Save the image
-    cv2.imwrite("output_image.jpg", image)
-    
-    # Resize the image
-    resized_image = cv2.resize(image, (100, 100))
-    
-    # Convert to grayscale
-    gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
-        """, language="python")
-    
-        # Go Back Button
-        if st.button("Go Back to Home Page"):
-            navigate_to("main")
+# Navigation for OpenCV Operations Page
+elif st.session_state.current_page == "opencv_operations":
+    # Page Title
+    st.markdown("""
+        <h2 style="color: #BB3385;">Image Operations with OpenCV</h2>
+    """, unsafe_allow_html=True)
 
+    # Introduction to OpenCV
+    st.write("""
+        OpenCV (Open Source Computer Vision Library) is a powerful library used for image processing and computer vision tasks.
+        It provides various methods for handling images, such as reading, displaying, and modifying them.
+    """)
 
+    # Basic OpenCV Methods
+    st.markdown("""
+        <h3 style="color: #e25822;">Basic Operations:</h3>
+    """, unsafe_allow_html=True)
 
+    st.write("""
+        - **`cv2.imread()`**: Reads an image from a file and returns it as a NumPy array.
+        - **`cv2.imshow()`**: Displays an image in a window.
+        - **`cv2.imwrite()`**: Saves an image to a specified file.
+        - **`cv2.resize()`**: Resizes an image to the desired dimensions.
+        - **`cv2.cvtColor()`**: Converts an image from one color space to another.
+    """)
+
+    # Example Code
+    st.markdown("""
+        <h3 style="color: #5b2c6f;">Example Code:</h3>
+    """)
+
+    st.code("""
+import cv2
+
+# Read an image
+image = cv2.imread("path/to/your/image.jpg")
+
+# Display the image
+cv2.imshow("Image", image)
+cv2.waitKey(0)
+cv2.destroyAllWindows()
+
+# Save the image
+cv2.imwrite("output_image.jpg", image)
+
+# Resize the image
+resized_image = cv2.resize(image, (100, 100))
+
+# Convert to grayscale
+gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+    """, language="python")
+
+    # Go Back Button
+    if st.button("Go Back to Home Page"):
+        navigate_to("main")