Finish 2.2.2 exercise 3
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@@ -62,12 +62,15 @@ class InvisCloak (Algorithm):
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print("A Mouse click happend! at position", x, y)
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print("A Mouse click happend! at position", x, y)
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# Stores the current image to data folder
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# Stores the current image to data folder
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cv2.imwrite(f"results/{datetime.datetime.now().strftime('%Y-%m-%d_%H:%M:%S')}_captured_image.png",
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cv2.imwrite(f"results/{datetime.datetime.now().strftime('%Y-%m-%d_%H:%M:%S')}_original_image.png",
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self.picture_buffer[4])
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self.picture_buffer[4])
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# Create RGB histogram
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# Create RGB histogram
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self._221_RGB(self.middle_value_picture)
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self._221_RGB(self.middle_value_picture)
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# Create HSV histogram
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self._222_HSV(self.middle_value_picture)
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def _plotNoise(self, img, name:str):
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def _plotNoise(self, img, name:str):
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height, width = np.array(img.shape[:2])
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height, width = np.array(img.shape[:2])
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@@ -150,7 +153,7 @@ class InvisCloak (Algorithm):
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Hier steht Ihr Code zu Aufgabe 2.2.2 (HSV)
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Hier steht Ihr Code zu Aufgabe 2.2.2 (HSV)
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- Histogrammberechnung und Analyse im HSV-Raum
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- Histogrammberechnung und Analyse im HSV-Raum
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"""
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"""
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pass
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self._221_RGB(cv2.cvtColor(img, cv2.COLOR_BGR2HSV), "hsv")
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def _23_SegmentUndBildmodifizierung (self, img):
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def _23_SegmentUndBildmodifizierung (self, img):
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