47 lines
1.4 KiB
Python
47 lines
1.4 KiB
Python
import numpy as np
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import cv2
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# Hiermit kann die Methode für die Berechnung ausgewählt werden
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METHOD = "MANUELL" # OpenCV, MANUELL
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# Einlesen des Bildes
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filepath = "../../data/flower.jpeg"
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img = cv2.imread(filepath)
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h, w, c = img.shape
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print("Originale Breite:", w)
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print("Originale Höhe:", h)
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scales = [4, 8, 13.5]
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images = []
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for scale in scales:
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new_w, new_h = round(w / scale), round(h / scale)
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if METHOD == "OpenCV":
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new_image = cv2.resize(img, (new_w, new_h))
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# Frage 1: Welche Interpolations-Methode wird hier verwendet?
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elif METHOD == "MANUELL":
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new_image = np.zeros((new_h, new_w, c), dtype=np.uint8)
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for x in range(new_w):
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for y in range(new_h):
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x_projected, y_projected = min(w - 1, round(x * scale)), min(h - 1, round(y * scale))
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new_image[y, x] = img[y_projected, x_projected]
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# Frage 1: Welche Interpolations-Methode wird hier verwendet?
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# Frage 2: Welches Mapping wird hier verwendet (For- oder Backwardmapping)?
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else:
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raise Exception("Da ist wohl ein Fehler unterlaufen!")
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images.append(new_image)
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# Bilder darstellen
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show_w, show_h = 1200, 1200
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img = cv2.resize(img, (show_w, show_h))
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cv2.imshow("Original", img)
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for scale, image in zip(scales, images):
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image = cv2.resize(image, (show_w, show_h))
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cv2.imshow("Scale %s" % scale, image)
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cv2.waitKey(0)
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