Initial commit with project files

4_Farbrepräsentationen/ü4/l_a.py

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+import cv2
+import numpy as np
+
+img = cv2.imread("../../data/model.png")
+
+#white_balancing_factor = np.asarray([[[1, 1, 1]]])
+white_balancing_factor = 255 / img[146, 127].astype(np.float32)
+white_balancing_factor = np.expand_dims(white_balancing_factor, 0)
+white_balancing_factor = np.expand_dims(white_balancing_factor, 1)
+
+img_balanced = img * white_balancing_factor
+img_balanced = np.clip(img_balanced, 0, 255)
+img_balanced = img_balanced.astype(np.uint8)
+
+cv2.imshow("Normal", img)
+cv2.imshow("Abgeglichen", img_balanced)
+
+cv2.waitKey()
+