Update pages/Data Collection.py

pages/Data Collection.py

@@ -163,36 +163,23 @@ elif page =="Converting Image to Black&White ,BGR & Gray SCale":
     # Create images
     white_img = np.full((500, 500), 255, dtype=np.uint8)  # White image
     black_img = np.zeros((500, 500), dtype=np.uint8)      # Black image
+
+     # Display in OpenCV
+    cv2.imshow("White image", white_img)
+    cv2.waitKey(0)
+    cv2.destroyAllWindows()
+
+    cv2.imshow("Black image", black_img)
+    cv2.waitKey(0)
+    cv2.destroyAllWindows()
+    """, language="python")
     
-    # Display images in Streamlit
-    st.subheader("White Image")
-    st.image(white_img, caption="White Image", use_column_width=True)
-    
-    st.subheader("Black Image")
-    st.image(black_img, caption="Black Image", use_column_width=True)
-    """
-    st.code(code, language="python")
-    
-    # Create images
-    white_img = np.full((500, 500), 255, dtype=np.uint8)  # White image
-    black_img = np.zeros((500, 500), dtype=np.uint8)      # Black image
-    
-    # Display images in Streamlit
-    st.subheader("White Image")
-    st.image(white_img, caption="White Image", use_column_width=True)
-    
-    st.subheader("Black Image")
-    st.image(black_img, caption="Black Image", use_column_width=True)
-    
-    st.header("Image Handling in OpenCV")
-    st.write("Explore Grayscale and BGR Image Creation and Display.")
     
     # Section 1: Grayscale Image
     st.header("Grayscale Image Creation")
     st.code("""
     # Grayscale image creation
     gray_img = np.full((500, 500), 155, dtype=np.uint8)
-    gray_pil = Image.fromarray(gray_img)
     
     # Display in OpenCV
     cv2.imshow("Gray Image", gray_img)