Initial commit with project files

4_Farbrepräsentationen/ü1/a.py

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+import numpy as np
+import cv2
+
+
+# Einlesen des Bildes
+filepath = "../../data/balls.png"
+
+
+''' a) Manuelles Konvertieren '''
+img_norm = img.astype(np.float32) / 255.0
+height, width, channels = img.shape
+hsv_img = np.zeros_like(img_norm)
+
+for x in range(width):
+    for y in range(int(height)):
+
+
+hsv_img = np.round(hsv_img * 255)
+hsv_img = hsv_img.astype(np.uint8)
+
+''' b) Konvertieren mit OpenCV '''
+hsv_img2 =
+
+
+''' Das Ergebnis überprüfen '''
+img2 = cv2.cvtColor(hsv_img, cv2.COLOR_HSV2BGR)
+img3 = cv2.cvtColor(hsv_img2, cv2.COLOR_HSV2BGR)
+
+difference = np.sum(np.abs(img2 - img3))
+print("Totale Differenz zwischen den Ergebnissen:", difference)
+max_difference = np.max(np.abs(img2 - img3))
+print("Maximale Abweichung pro Pixel/Kanal:", max_difference)
+example_differences = img2[0:10, 0:10] - img3[0:10, 0:10]
+print("Beispiel Differenzen:\n", example_differences)
+
+cv2.imshow("ORIGINAL", img)
+cv2.imshow("MANUELL", img2)
+cv2.imshow("OPENCV", img3)
+cv2.waitKey(0)