Update pages/3ML Project Life Cycle.py

pages/3ML Project Life Cycle.py

@@ -451,7 +451,7 @@ elif st.session_state.page == "image":
     st.write(
         "Light emitted from a source (e.g., the Sun) reflects off objects, creating an image. This phenomenon is known as reflection."
     )
-    st.image("image/imageformation.png", caption="Reflection Diagram")
+    st.image("image/reflection_image.png", caption="Reflection Diagram")
 
     # Section 2: Image Details
     st.header("Image Details")
@@ -529,7 +529,7 @@ elif st.session_state.page == "image":
     st.write("A representation technique that uses only two colors:")
     st.markdown("- **Black**: Represented by `0`")
     st.markdown("- **White**: Represented by `1`")
-    st.image("image/black and white.png", caption="Black & White Color Space")
+    st.image("image/black_and_white_image.jpg", caption="Black & White Color Space")
 
     # Grayscale Color Space
     st.subheader("2. Grayscale Color Space")
@@ -538,8 +538,8 @@ elif st.session_state.page == "image":
     st.markdown("- Pixel values range between `0` and `255`.")
     st.markdown("- It represents 0 for blacks, 1-254 shades of gray and 1 for whites.")
     st.markdown("- **Limitation**: Cannot preserve colored information.")
-    st.image("image/grayscale.png", caption="Grayscale representation")
-    st.image("image/grayscale image.jpg", caption="Grayscale Color Space")
+    st.image("image/black_and_white_color_space.jpg", caption="Grayscale representation")
+    st.image("image/greyscale.jpg", caption="Grayscale Color Space")
 
 
 
@@ -550,9 +550,9 @@ elif st.session_state.page == "image":
     st.markdown("- An image is stored as a **3D array**, where each dimension represents a channel (R, G, B).")
     st.markdown("- Pixel values range between `0` and `255` for each channel.")
     st.write("By mixing these channels, any color can be formed.")
-    st.image("image/channels.png", caption="Red Channel")
-    st.image("image/rgb image1.png", caption="Green Channel")
-    st.image("image/rgb image.png", caption="Blue Channel")
+    st.image("image/rgb.jpg", caption="RGB Color Space")
+    st.image("image/rgb_pixel.jpg", caption="RGB Pixel Representation")
+    st.image("image/cat_rgb_splitting.jpeg", caption="RGB Representation")
 
     st.markdown(
         """
@@ -589,6 +589,9 @@ elif st.session_state.page == "opencv":
 
     # Introduction
     st.header("What is OpenCV?")
+
+    st.image("image/opencv_logo.png", caption="OpenCV Logo", width=200)
+    
     st.write("""
     OpenCV is a popular library in Python for image and video processing. It provides a wide range of tools to work with images, such as reading, displaying, manipulating, and saving images. 
     The library supports tasks like:
@@ -596,7 +599,7 @@ elif st.session_state.page == "opencv":
     - Machine learning
     - Real-time processing
     """)
-    #st.image("https://miro.medium.com/max/1400/1*dlOYi2Lnn-G3BNs1NAemFw.gif", caption="OpenCV Overview", use_container_width=True)
+    
 
     st.markdown("---")
 
@@ -607,7 +610,7 @@ elif st.session_state.page == "opencv":
     - **Versatile**: It works seamlessly with images (2D arrays) and videos.
     - **Extensive Functionality**: OpenCV includes advanced features like object detection, image segmentation, and filtering.
     """)
-    st.image("image/opencv.png", caption="OpenCV Logo", width=200)
+    
 
     st.markdown("---")
 
@@ -700,7 +703,7 @@ elif st.session_state.page == "opencv":
     array = np.full((600, 500, 3), 128, dtype=np.uint8)  # Grey image
     cv2.imwrite("white_image.jpg", array)
     """, language="python")
-    st.image("image/gray.png", caption="Saving an Array as an Image")
+    st.image("image/image_gray.png", caption="Created an Image")
 
     st.markdown("---")
 
@@ -770,7 +773,7 @@ cv2.waitKey(0)
 cv2.destroyAllWindows()
     """, language="python")
 
-    st.image(r"image/colortogray.jpg", caption="Color Conversions: BGR to RGB and Grayscale")
+    st.image(r"image/color_to_gray.jpg", caption="Color Conversions: BGR to RGB and Grayscale")
 
     st.markdown("---")
 
@@ -793,7 +796,7 @@ cv2.imshow("Red Channel", r)
 cv2.waitKey(0)
 cv2.destroyAllWindows()
     """, language="python")
-    st.image(r"image/bgr.png", caption="Splitting and Merging Channels in OpenCV")
+    st.image(r"image/splitting_RGB.jpg", caption="Splitting and Merging Channels in OpenCV")
 
     st.subheader("Example: Merging Channels")
     st.code("""
@@ -806,7 +809,7 @@ cv2.waitKey(0)
 cv2.destroyAllWindows()
     """, language="python")
 
-    st.image(r"image/original.png", caption="Splitting and Merging Channels in OpenCV")
+    st.image(r"image/Merging_RGB.jpg", caption="Splitting and Merging Channels in OpenCV")
 
     st.markdown("---")