rotation fix
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parent
f715138204
commit
28961839d6
8
main.py
8
main.py
@ -24,7 +24,7 @@ startScreen = cv2.imread("noFace.png")
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if cam.isOpened():
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if cam.isOpened():
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while True:
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while True:
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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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if cameraMode and ret:
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if cameraMode and ret:
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prev = time.time()
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prev = time.time()
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while TIMER > 0:
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while TIMER > 0:
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@ -50,13 +50,13 @@ 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.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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fearPoint = predictions[0]["emotion"]["fear"]
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fearPoint = predictions[0]["emotion"]["fear"]
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print("FEAR:" + str(round(fearPoint,2)))
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print("FEAR:" + str(round(fearPoint,2)))
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if fearPoint>0:
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if fearPoint>0:
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rotoImg = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE)
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cv2.imwrite('scared.jpg', img)
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cv2.imwrite('scared.jpg', rotoImg)
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basewidth = 384
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basewidth = 384
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imgCrop = Image.open('scared.jpg')
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imgCrop = Image.open('scared.jpg')
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wpercent = (basewidth/float(imgCrop.size[0]))
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wpercent = (basewidth/float(imgCrop.size[0]))
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