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Then, it is filled by two rectangles using *rectangle* function. Next, the image is interactively rotated by changing the angle of rotation with a trackBar created by *createTrackbar*. Functions *getRotationMatrix2D* and *warpAffine* are used to implement the rotation around the center of the image.\n![A snapshot of OpenCV Tutorial: Image Rotation](Media/opencv-tutorial-image-rotation.jpg) *Figure 1: A snapshot of image rotation by angle 30.*\n---\n2. **OpenCV Tutorial, Minimum Area Rectangle:** Using function *cv2.minAreaRect*, we find the boundign rectangle with minimum area for a set of poits. Here, points of a text are used. By pressing any key, the text image is randomly rotated. Then, we draw the computed minimum area rectangle over the image.\n![A snapshot of OpenCV Tutorial: Minimum Area Rectangle](Media/opencv-tutorial-minimum-area-rectangle.jpg) *Figure 2: A snapshot of the rotated text image and its bounding rectangle.*\n---","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fostad-ai%2Fcomputer-vision-and-image-processing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fostad-ai%2Fcomputer-vision-and-image-processing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fostad-ai%2Fcomputer-vision-and-image-processing/lists"}