Don't Drink and Drive: A Visual Story with Python (OpenCV) 🚗

This repository showcases two impactful projects I created using Python and OpenCV:

1. An animation video emphasizing the critical message, "Don't Drink & Drive."
2. A fun and interactive GIF capturing the frustrations of coding and the need to de-stress.

🔹 Project 1: The Animation Story

Description

The animation tells a compelling story that begins in a bar 🍻, transitions to a risky decision to drive 🚗, and ends with a tragic accident 💥. It aims to raise awareness about the dangers of drunk driving and deliver a powerful social message.

Features

• Scene Design: Roads, vehicles, and characters brought to life with OpenCV functions like cv2.line, cv2.circle, and cv2.rectangle.
• Impactful Messaging: The animation displays key messages like "Don't Drink & Drive" using cv2.putText.
• Interactive Elements: Mouse events implemented using cv2.setMouseCallback for dynamic scene creation.
• Frame Display: Seamless animation created using cv2.imshow and cv2.waitKey.

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🔹 Project 2: The GIF

Description

This fun and engaging GIF captures the emotional rollercoaster of coding frustrations 🐞. It features a creative interaction where a keyboard turns into a drum 🥁, symbolizing the need to de-stress during tough debugging sessions.

Features

• Dynamic Interaction: Mouse-based input to create animations.
• GIF Creation: Frames are looped to simulate a smooth and visually appealing animation.
• Key OpenCV Functions:
  • cv2.line, cv2.circle for drawing shapes.
  • cv2.putText for adding text to frames.
  • cv2.imshow, cv2.waitKey for frame-by-frame visualization.

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Technologies Used

• Programming Language: Python
• Library: OpenCV

Key OpenCV functions include:

• cv2.line, cv2.circle, cv2.rectangle: For creating shapes and designing scenes.
• cv2.putText: For displaying messages.
• cv2.setMouseCallback: For interactive mouse-based inputs.
• cv2.imshow, cv2.waitKey: For real-time frame visualization.