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Update pages/Data Collection.py
Browse files- pages/Data Collection.py +30 -3
pages/Data Collection.py
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@@ -890,7 +890,7 @@ elif st.session_state.current_page == "image_operations":
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# Heading for cv2.cvtColor() function
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st.markdown("""
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<h3 style="color: #
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""", unsafe_allow_html=True)
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# About cv2.cvtColor() function
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@@ -902,11 +902,38 @@ elif st.session_state.current_page == "image_operations":
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# Syntax example for cv2.cvtColor()
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st.code("""
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# Converting an RGB image to Grayscale
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# Converting a Grayscale image to RGB
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""", language="python")
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# Heading for cv2.cvtColor() function
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st.markdown("""
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<h3 style="color: #9400d3;">Converting Color Spaces</h3>
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""", unsafe_allow_html=True)
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# About cv2.cvtColor() function
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# Syntax example for cv2.cvtColor()
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st.code("""
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# Converting an RGB image to Grayscale
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gray_img = cv2.cvtColor(rgb_image, cv2.COLOR_BGR2GRAY) # Convert from BGR to Grayscale
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# Converting a Grayscale image to RGB
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rgb_img = cv2.cvtColor(gray_image, cv2.COLOR_GRAY2BGR) # Convert from Grayscale to BGR
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""", language="python")
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st.write("""
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In the next section, we will dive into **video processing using OpenCV**. We will explore how to:
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- Use various OpenCV functions for handling video data.
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- Play videos using OpenCV.
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- Capture images from live video streams.
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Stay tuned for an exciting exploration of video handling!
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""")
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col1, col2, col3 = st.columns(3)
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# Column 1 - Button to go to the Image Creation page
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with col1:
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if st.button("⬅️ Image Creation and Manipulation"):
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navigate_to("image_operations") # Image Creation and Manipulation page
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# Column 2 - Button for the main page (Images & Videos)
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with col2:
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if st.button("📸 Images & Videos"):
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navigate_to("explore_images_video") # Main page: Images & Videos
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# Column 3 - Button to go to the Videos page
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with col3:
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if st.button("➡️ Video Processing with OpenCV"):
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navigate_to("video_processing") # Videos page
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