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| from PIL import Image | |
| import cv2 | |
| import numpy as np | |
| # Load image using OpenCV | |
| image_path = "path_to_your_image.jpg" | |
| image = cv2.imread(image_path) | |
| # Resize the image | |
| resized_image = cv2.resize(image, (300, 300)) | |
| # Rotate the image | |
| (h, w) = resized_image.shape[:2] | |
| center = (w // 2, h // 2) | |
| rotation_matrix = cv2.getRotationMatrix2D(center, angle=45, scale=1.0) | |
| rotated_image = cv2.warpAffine(resized_image, rotation_matrix, (w, h)) | |
| # Convert to grayscale | |
| gray_image = cv2.cvtColor(rotated_image, cv2.COLOR_BGR2GRAY) | |
| # Convert back to PIL format to save or display | |
| output_image = Image.fromarray(gray_image) | |
| output_image.save("transformed_image.jpg") | |
| output_image.show() |