Gorkem/FearBooth
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camera test

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gocivici 2023-10-19 17:03:28 +03:00
parent b12002bdb4
commit b09b7afb6b
1 changed files with 14 additions and 11 deletions
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25
main.py
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@ -11,7 +11,7 @@ from PIL import ImageFont
from deepface import DeepFace #pip install deepface from deepface import DeepFace #pip install deepface
cam = cv2.VideoCapture(0) cam = cv2.VideoCapture(1)
printer = Serial(devfile='/dev/serial0',baudrate=19200,bytesize=8,parity='N',stopbits=1.00,dsrdtr=True) printer = Serial(devfile='/dev/serial0',baudrate=19200,bytesize=8,parity='N',stopbits=1.00,dsrdtr=True)
printer.set(density=10) printer.set(density=10)
@ -50,16 +50,7 @@ if cam.isOpened():
predictions = DeepFace.analyze(img,actions=['emotion']) predictions = DeepFace.analyze(img,actions=['emotion'])
fearPoint = predictions[0]["emotion"]["fear"] fearPoint = predictions[0]["emotion"]["fear"]
print("FEAR:" + str(fearPoint)) print("FEAR:" + str(fearPoint))
if fearPoint>10:
cv2.imwrite('scared.jpg', img)
basewidth = 384
imgCrop = Image.open('scared.jpg')
wpercent = (basewidth/float(imgCrop.size[0]))
hsize = int((float(imgCrop.size[1])*float(wpercent)))
imgCrop = imgCrop.resize((basewidth,hsize), Image.Resampling.LANCZOS)
imgCrop = imgCrop.save("cropScared.jpg")
printer.image(imgCrop)
printer.text("\n\n\n\n")
img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB) img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
img = Image.fromarray(img) img = Image.fromarray(img)
draw = ImageDraw.Draw(img) draw = ImageDraw.Draw(img)
@ -72,6 +63,18 @@ if cam.isOpened():
# ft.putText(img=img,text='TEST',org=(15, 70),fontHeight=60,color=(255, 255, 255),thickness=-1,line_type=cv2.LINE_AA,bottomLeftOrigin=True) # ft.putText(img=img,text='TEST',org=(15, 70),fontHeight=60,color=(255, 255, 255),thickness=-1,line_type=cv2.LINE_AA,bottomLeftOrigin=True)
cv2.rectangle(img,(30,400),(610,450),(255,255,255), 5) cv2.rectangle(img,(30,400),(610,450),(255,255,255), 5)
cv2.rectangle(img,(30,400),(30+math.floor(int(fearPoint)*580/100),450),(255,255,255), -1) cv2.rectangle(img,(30,400),(30+math.floor(int(fearPoint)*580/100),450),(255,255,255), -1)
if fearPoint>10:
cv2.imwrite('scared.jpg', img)
basewidth = 384
imgCrop = Image.open('scared.jpg')
wpercent = (basewidth/float(imgCrop.size[0]))
hsize = int((float(imgCrop.size[1])*float(wpercent)))
imgCrop = imgCrop.resize((basewidth,hsize), Image.Resampling.LANCZOS)
imgCrop = imgCrop.save("cropScared.jpg")
cv2.waitKey(500)
printer.image(cropScared.jpg)
printer.text("\n\n\n\n")
cv2.imshow('webcam',img) cv2.imshow('webcam',img)
cv2.waitKey(5000) cv2.waitKey(5000)