update camera axis to 90 degrees
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709f2894ea
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cropScared.jpg
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cropScared.jpg
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Before Width: | Height: | Size: 22 KiB After Width: | Height: | Size: 38 KiB |
39
main.py
39
main.py
@ -23,10 +23,12 @@ 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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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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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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# 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.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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@ -47,10 +49,29 @@ 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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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(fearPoint))
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print("FEAR:" + str(round(fearPoint,2)))
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if fearPoint>0:
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cv2.imwrite('scared.jpg', img)
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basewidth = 384
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imgCrop = Image.open('scared.jpg')
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wpercent = (basewidth/float(imgCrop.size[0]))
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hsize = int((float(imgCrop.size[1])*float(wpercent)))
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imgCrop = imgCrop.resize((basewidth,hsize), Image.Resampling.LANCZOS)
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imgCrop = imgCrop.save("cropScared.jpg")
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cv2.waitKey(2000)
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printer.set(align='center',font='b',width=2,height=2)
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printer.image("cropScared.jpg")
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printer.text("Fear Level: \n" + str(round(fearPoint,2))+"/100\n")
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printer.text("(Scream Queen)\n")
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#printer.set(align='center',font='b',width=1,height=1)
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#printer.text("Spooky Night 2023")
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#printer.text("2023\n")
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printer.text("\n\n\n\n")
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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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draw = ImageDraw.Draw(img)
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draw = ImageDraw.Draw(img)
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@ -61,20 +82,10 @@ if cam.isOpened():
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img = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR)
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img = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR)
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#print(30+math.floor(int(fearPoint)*580/100))
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#print(30+math.floor(int(fearPoint)*580/100))
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# ft.putText(img=img,text='TEST',org=(15, 70),fontHeight=60,color=(255, 255, 255),thickness=-1,line_type=cv2.LINE_AA,bottomLeftOrigin=True)
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# ft.putText(img=img,text='TEST',org=(15, 70),fontHeight=60,color=(255, 255, 255),thickness=-1,line_type=cv2.LINE_AA,bottomLeftOrigin=True)
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cv2.rectangle(img,(30,400),(610,450),(255,255,255), 5)
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#cv2.rectangle(img,(30,400),(610,450),(255,255,255), 5)
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cv2.rectangle(img,(30,400),(30+math.floor(int(fearPoint)*580/100),450),(255,255,255), -1)
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#cv2.rectangle(img,(30,400),(30+math.floor(int(fearPoint)*580/100),450),(255,255,255), -1)
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if fearPoint>10:
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cv2.imwrite('scared.jpg', img)
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basewidth = 384
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imgCrop = Image.open('scared.jpg')
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wpercent = (basewidth/float(imgCrop.size[0]))
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hsize = int((float(imgCrop.size[1])*float(wpercent)))
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imgCrop = imgCrop.resize((basewidth,hsize), Image.Resampling.LANCZOS)
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imgCrop = imgCrop.save("cropScared.jpg")
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cv2.waitKey(500)
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printer.image("cropScared.jpg")
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printer.text("\n\n\n\n")
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cv2.imshow('webcam',img)
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cv2.imshow('webcam',img)
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cv2.waitKey(5000)
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cv2.waitKey(5000)
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BIN
scared.jpg
BIN
scared.jpg
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Before Width: | Height: | Size: 106 KiB After Width: | Height: | Size: 138 KiB |
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