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@ -78,7 +78,6 @@ S_t = np.array([[1, 0, 0], #Simulationsmatrix fuer Tritanopi
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for i in range(rows):
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for j in range(cols):
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cb_image[i,j] = T_reversed.dot(S_p).dot(T).dot(cb_image[i,j])
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# Da OpenCV Pixelwerte in RGB speichert, aber BGR für den Algorithmus nötig ist, muss die Matrix mit flipud gedreht werden
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sim_image = np.copy(cb_image)
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sim_image = sim_image.astype('uint8')
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