Detect Flappy Bird in Videos with OpenCV

# Introduction

This project is designed to teach you how to detect the Flappy Bird character in a video using the `cv2.matchTemplate` method provided by OpenCV, a powerful library for image processing and computer vision. The `cv2.matchTemplate` function is a useful tool for template matching, which is a technique in digital image processing for finding small parts of an image that match a template image. In this project, we'll create a Python project that applies this method to detect the Flappy Bird character in a video, making it a practical example for beginners and intermediates in Python and OpenCV.

## 👀 Preview

<video src="https://file.labex.io/static/video/detect.mp4" width="50%" autoplay loop muted></video>

## 🎯 Tasks

In this project, you will learn to:

- Import and use the OpenCV library for image processing.
- Write a function to process video and image data.
- Implement template matching for object detection in video frames.
- Annotate and display results in a video.

## 🏆 Achievements

By the end of this project, you will have learned:

- The basics of using OpenCV for image and video processing.
- Techniques for object detection using template matching.
- Methods to annotate and visualize results in video data.