import streamlit as st import pandas as pd import numpy as np # Custom CSS for styling custom_css = """ """ # Inject the CSS into the app st.markdown(custom_css, unsafe_allow_html=True) # What is an Image st.markdown("
" "Designed engaging environments using cv2.line, cv2.circle, and cv2.rectangle for elements like roads, vehicles, and characters." "
", unsafe_allow_html=True ) st.markdown( "" "Delivered strong messages like “Don’t Drink and Drive” with cv2.putText to enhance awareness." "
", unsafe_allow_html=True ) st.markdown( "" "Enabled user-driven customization through cv2.setMouseCallback, making the experience interactive and fun." "
", unsafe_allow_html=True ) st.markdown( "" "Visualized the story in real-time using cv2.imshow and cv2.waitKey for seamless execution." "
", unsafe_allow_html=True ) st.markdown("" "Produced captivating GIFs showcasing dynamic scenes where shapes, texts, and animations flow smoothly to engage the audience." "
", unsafe_allow_html=True ) st.markdown( "" "cv2.line, cv2.circle: To craft essential shapes." "
", unsafe_allow_html=True ) st.markdown( "" "cv2.putText: For adding meaningful annotations." "
", unsafe_allow_html=True ) st.markdown( "" "cv2.imshow, cv2.waitKey: To bring animations to life frame by frame." "
", unsafe_allow_html=True ) st.markdown( ""
"You can explore the code examples on GitHub:
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"Project
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"