Detect Flappy Bird in Video Using 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:

- How to import and use the OpenCV library for image processing.
- How to write a function to process video and image data.
- How to implement template matching for object detection in video frames.
- How to annotate and display results in a video.

## 🏆 Achievements

After completing this project, you will be able to:

- Use OpenCV for basic image and video processing tasks.
- Apply template matching techniques to detect objects in video data.
- Annotate and visualize the results of object detection in video.