Update pages/3_Life Cycle Of ML Project.py

pages/3_Life Cycle Of ML Project.py

@@ -192,7 +192,7 @@ elif st.session_state.page == "unstructured_data":
 # Ensure proper indentation for this section of the Streamlit app
 
 if st.session_state.page == "Introduction_to_image":
-    st.header("🖼️ What is an Image?")
+    st.header(":red[🖼️ What is an Image?]")
     st.markdown("""
     ### What is an Image?
     An image is a two-dimensional visual representation of objects, people, scenes, or concepts. It can be captured using devices like cameras or scanners, or created digitally. Images are composed of individual units called pixels, which contain information about brightness and color.
@@ -250,7 +250,7 @@ if st.session_state.page == "Introduction_to_image":
     plt.show()
     """, language='python')
 
-    st.header("Color Spaces in Machine Learning")
+    st.header(":blue[Color Spaces in Machine Learning]")
     st.markdown("""
     A color space is a mathematical model for representing colors. In machine learning, different color spaces can be used for preprocessing and analyzing image data, depending on the task.
 
@@ -280,7 +280,7 @@ if st.session_state.page == "Introduction_to_image":
 
 elif st.session_state.page == "operations_using_opencv":
     # Header and description for cv2.imread
-    st.header("🗂️ Reading an Image with cv2.imread()")
+    st.header(":red[🗂️ Reading an Image with cv2.imread()]")
     st.markdown("""
     **`cv2.imread()` - Read an Image**
     **Purpose:** Load an image from a file and convert it to a NumPy array.
@@ -303,7 +303,7 @@ elif st.session_state.page == "operations_using_opencv":
     """)
 
     # Header and description for cv2.imshow
-    st.header("🖼️ Displaying an Image with cv2.imshow()")
+    st.header(":blue[🖼️ Displaying an Image with cv2.imshow()]")
     st.markdown("""
     **`cv2.imshow()` - Display an Image**
     **Purpose:** Show an image in a window.
@@ -327,7 +327,7 @@ elif st.session_state.page == "operations_using_opencv":
     """)
 
     # Header and description for cv2.imwrite
-    st.header("💾 Saving an Image with cv2.imwrite()")
+    st.header(":blue[💾 Saving an Image with cv2.imwrite()]")
     st.markdown("""
     **`cv2.imwrite()` - Write/Save an Image**
     **Purpose:** Save an image to a file.
@@ -364,7 +364,7 @@ elif st.session_state.page == "operations_using_opencv":
 
 elif st.session_state.page == "Conversion_of_Images":
     # Header for Image Conversion
-    st.header("🔄 Converting Images Between Different Color Spaces")
+    st.header(":red[🔄 Converting Images Between Different Color Spaces]")
 
     st.markdown("""
     **OpenCV supports many color spaces for image processing.**
@@ -392,7 +392,7 @@ elif st.session_state.page == "Conversion_of_Images":
     """)
 
     # Header for Splitting Channels
-    st.header("🔹 Splitting Color Channels in an Image")
+    st.header(":blue[🔹 Splitting Color Channels in an Image]")
 
     st.markdown("""
     **Splitting an image into its individual color channels (B, G, R) allows you to analyze or modify each channel independently.**
@@ -419,7 +419,7 @@ elif st.session_state.page == "Conversion_of_Images":
     """)
 
     # Header for Merging Channels
-    st.header("🔹 Merging Color Channels in an Image")
+    st.header(":blue[🔹 Merging Color Channels in an Image]")
 
     st.markdown("""
     **You can merge the individual channels back into a color image using `cv2.merge()`.**
@@ -447,7 +447,7 @@ elif st.session_state.page == "Conversion_of_Images":
     """)
 
     # Header for Combining with Modifications
-    st.header("🎨 Modifying Channels Before Merging")
+    st.header(":blue[🎨 Modifying Channels Before Merging]")
 
     st.markdown("""
     **You can modify each channel (e.g., increase brightness in the red channel) before merging them back together.**
@@ -488,7 +488,7 @@ elif st.session_state.page == "Conversion_of_Images":
 
 elif st.session_state.page == "Video_capture_and_explanation":
     
-    st.header("🎥 Video Capture with `cv2.VideoCapture()`")
+    st.header(":red[🎥 Video Capture with `cv2.VideoCapture()`]")
 
     st.markdown("""
     **Purpose**: Captures live video from a webcam or reads a video file using OpenCV.
@@ -534,7 +534,7 @@ elif st.session_state.page == "Video_capture_and_explanation":
 
     ##----------##
     
-    st.header("⏱️ cv2.waitKey() for Key Event Handling")
+    st.header(":blue[⏱️ cv2.waitKey() for Key Event Handling]")
     st.markdown(""" 
     Purpose:
     cv2.waitKey() is a key function used to handle keyboard events in OpenCV. It is commonly used to display images or video frames and wait for a user input.
@@ -603,18 +603,15 @@ This explanation provides both the purpose and practical use cases of `cv2.Video
     if st.button(":blue[Affine Transformation Matrix]"):
         st.session_state.page = "Affine_Transformation_Matrix"
 
+    st.link_button(":blue[HitHub project Link]","https://github.com/Jayasree417/Animation-Using-Open-CV")
+    
+
        # Navigation Button
-    if st.button("Back to Data Collection"):
+    if st.button(":red[Back to Data Collection]"):
         st.session_state.page = "data_collection"
 
 
-    st.markdown(
-    '<a href="https://github.com/Vamshi-183/Animation_project_using_opencv" target="_blank">'
-    '<button style="background-color:#4CAF50; color:white; padding:10px 20px; border:none; border-radius:5px; font-size:16px;">Go to GitHub Project</button>'
-    '</a>',
-    unsafe_allow_html=True
-    )
-
+    
         
 # ----- AFFINE TRANSFORMATION MATRIX -----
 
@@ -622,7 +619,7 @@ This explanation provides both the purpose and practical use cases of `cv2.Video
 
 elif st.session_state.page == "Affine_Transformation_Matrix":
     # Header for Affine Transformation Matrix
-    st.header("Affine Transformation Matrix")
+    st.header(":red[Affine Transformation Matrix]")
 
     # Description of Affine Transformation
     st.markdown("""
@@ -645,7 +642,7 @@ elif st.session_state.page == "Affine_Transformation_Matrix":
     """)
 
     # Key Points Section
-    st.header("Key Points of Affine Transformations")
+    st.header(":blue[Key Points of Affine Transformations]")
 
     st.markdown("""
     ### 1. **Preserves Collinearity**
@@ -681,8 +678,6 @@ elif st.session_state.page == "Affine_Transformation_Matrix":
     """)
 
 
-    st.link_button(":blue[HITHUB Link]","https://github.com/Jayasree417/Animation-Using-Open-CV")
-
 
     if st.button(":red[Back to Data Collection]"):
         st.session_state.page = "data_collection"