# 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/namespace/718bace8-27a3-4200-a588-dde4041ceeb9/python/project-flappy-bird-detection-in-video-using-match-template/challenge-1/assets/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.
Click the virtual machine below to start practicing