Update pages/Data Collection.py

pages/Data Collection.py

@@ -559,7 +559,7 @@ elif st.session_state.current_page == "opencv_operations":
     import cv2
     
     # Read the image
-    image = cv2.imread('path_to_image.jpg')  # Replace 'path_to_image.jpg' with your image file path
+    image = cv2.imread('path_to_image.jpg')  # Replace 'path_to_image.jpg' with the image file path
     
     # Display the numerical matrix
     print(image)  # This will print the image as an array of pixel values
@@ -567,7 +567,7 @@ elif st.session_state.current_page == "opencv_operations":
     
     # Explanation for Grayscale Conversion
     st.write("""
-    By default, the `imread()' function reads an image as a 3D array in the RGB color space.  
+    By default, the `imread()` function reads an image as a 3D array in the RGB color space.  
     To convert the image to grayscale, pass `0` as the second argument to the `imread()` function. This will return a 2D array where each pixel value represents intensity.
     """)
     
@@ -616,8 +616,8 @@ elif st.session_state.current_page == "opencv_operations":
     st.code("""
     # imshow()
     cv2.imshow(window_name, image_array)
-    # window_name: The title of the pop-up window (string)
-    # image_array: The image data (usually a NumPy array)
+    # window_name: The title of the pop-up window
+    # image_array: The image data (Array)
     
     # waitKey()
     cv2.waitKey(delay_in_milliseconds)