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Applies the "sepia" effect to an image using OpenCV and Numpy
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| # Author: Filipe Chagas | |
| # Email: filipe.ferraz0@gmail.com | |
| # Github profile: github.com/FilipeChagasDev | |
| # Description: Applies the "sepia" effect to an image using OpenCV and Numpy | |
| import numpy as np | |
| import cv2 | |
| def sepia(src_image): | |
| gray = cv2.cvtColor(src_image, cv2.COLOR_BGR2GRAY) | |
| normalized_gray = np.array(gray, np.float32)/255 | |
| #solid color | |
| sepia = np.ones(src_image.shape) | |
| sepia[:,:,0] *= 153 #B | |
| sepia[:,:,1] *= 204 #G | |
| sepia[:,:,2] *= 255 #R | |
| #hadamard | |
| sepia[:,:,0] *= normalized_gray #B | |
| sepia[:,:,1] *= normalized_gray #G | |
| sepia[:,:,2] *= normalized_gray #R | |
| return np.array(sepia, np.uint8) | |
| image = cv2.imread(raw_input('source filename: ')) | |
| image2 = sepia(image) | |
| cv2.imshow('', image2) | |
| cv2.waitKey() |
Valeu, Filipe, me ajudou num trabalho da faculdade!
Thank you!
the generated images look great
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Thank you for your code!