change flip direction
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								main.py
									
									
									
									
									
								
							
							
						
						
									
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								main.py
									
									
									
									
									
								
							@ -32,7 +32,7 @@ if cam.isOpened():
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                ret, img = cam.read()
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					                ret, img = cam.read()
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                # img = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE)
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					                # img = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE)
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                # cv2.putText(img, str(TIMER), (200, 250), cv2.FONT_HERSHEY_SIMPLEX, 7, (0, 255, 255), 4, cv2.LINE_AA)
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					                # cv2.putText(img, str(TIMER), (200, 250), cv2.FONT_HERSHEY_SIMPLEX, 7, (0, 255, 255), 4, cv2.LINE_AA)
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                img = cv2.flip(img, 1)
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					                img = cv2.flip(img, 0)
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                img = cv2.rotate(img, cv2.ROTATE_90_COUNTERCLOCKWISE) 
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					                img = cv2.rotate(img, cv2.ROTATE_90_COUNTERCLOCKWISE) 
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                img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB) 
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					                img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB) 
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                img = Image.fromarray(img)
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					                img = Image.fromarray(img)
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@ -58,7 +58,7 @@ if cam.isOpened():
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                    break
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					                    break
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            else:
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					            else:
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                ret, img = cam.read()
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					                ret, img = cam.read()
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                img = cv2.flip(img, 1)
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					                img = cv2.flip(img, 0)
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                img = cv2.rotate(img, cv2.ROTATE_90_COUNTERCLOCKWISE) 
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					                img = cv2.rotate(img, cv2.ROTATE_90_COUNTERCLOCKWISE) 
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                # img = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE)
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					                # img = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE)
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                predictions = DeepFace.analyze(img,actions=['emotion'])
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					                predictions = DeepFace.analyze(img,actions=['emotion'])
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