# 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/lab-1/assets/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.
Click the virtual machine below to start practicing