141 lines
6.3 KiB
Python
141 lines
6.3 KiB
Python
import math
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import time
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import numpy as np
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import cv2 #pip install opencv-python ||| pip3 install opencv-contrib-python==4.4.0.46
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from gpiozero import Button
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from escpos.printer import Serial
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from PIL import Image
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from PIL import ImageDraw
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from PIL import ImageFont
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from deepface import DeepFace #pip install deepface
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button = Button(2)
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cam = cv2.VideoCapture(0)
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cv2.namedWindow("webcam", cv2.WND_PROP_FULLSCREEN)
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cv2.setWindowProperty("webcam",cv2.WND_PROP_FULLSCREEN,cv2.WINDOW_FULLSCREEN)
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printer = Serial(devfile='/dev/serial0',baudrate=19200,bytesize=8,parity='N',stopbits=1.00,dsrdtr=True)
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# printer.set(density=10)
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cameraMode = False
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TIMER = 5
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startScreen = cv2.imread("noFace.png")
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if cam.isOpened():
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while True:
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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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prev = time.time()
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while TIMER >= 0:
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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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img = cv2.flip(img, 0)
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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 = Image.fromarray(img)
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draw = ImageDraw.Draw(img)
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fontBIG = ImageFont.truetype("HalloweenFont.ttf", 350)
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fontSmall = ImageFont.truetype("HalloweenFont.ttf", 60)
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if TIMER>0:
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draw.text((130, 150), str(TIMER), font=fontBIG,fill=(255,0,0,255))
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else:
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draw.text((30, 480), "ANALYZING...", font=fontSmall,fill=(255,0,0,255))
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img = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR)
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img = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE)
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cv2.imshow('webcam',img)
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# print(str(TIMER))
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cur = time.time() #current time
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if cur-prev >= 1:
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prev = cur
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TIMER = TIMER-1
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key = cv2.waitKey(5) & 0xFF
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if ord('q') == key:
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break
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else:
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ret, img = cam.read()
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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_CLOCKWISE)
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try:
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predictions = DeepFace.analyze(img,actions=['emotion'])
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fearValue = predictions[0]["emotion"]["fear"]
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surpriseValue = predictions[0]["emotion"]["surprise"]
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fearPoint = max(fearValue,surpriseValue)
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print("FEAR:" + str(round(fearPoint,2)))
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print("SURPRISE:" + str(round(surpriseValue,2)))
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imgGray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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imgGray = cv2.equalizeHist(imgGray)
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cv2.imwrite('scared.jpg', imgGray)
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cv2.imwrite("/home/gogo/Desktop/Photos/Fear_{}.jpg".format(cur),img)
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img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
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img = Image.fromarray(img)
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draw = ImageDraw.Draw(img)
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font_size = 75
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font = ImageFont.truetype("HalloweenFont.ttf", font_size)
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text = "FEAR LEVEL"
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draw.text((30, 452), str(text), font=font,fill=(255,0,0,255))
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img = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR)
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cv2.rectangle(img,(30,550),(30+math.floor(int(fearPoint)*420/100),600),(255,255,255), -1)
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cv2.rectangle(img,(30,550),(450,600),(0,0,255), 8)
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img = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE)
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cv2.imshow('webcam',img)
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cv2.waitKey(2000)
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if fearPoint>0:
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#rotoImg = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE)
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# cv2.imshow('webcam',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='a',width=2,height=2)
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printer.image("cropScared.jpg",high_density_vertical=True,high_density_horizontal=False,impl="bitImageRaster")
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printer.text("Fear Level\n" + "%" + str(round(fearPoint,1))+"\n")
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# printer.text("Surprise Level: \n" + str(round(surpriseValue,2))+"/100\n")
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# printer.text("Overall: \n" + str(round(fearPoint,2))+"/100\n")
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if fearPoint>80:
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printer.text("(Scream Queen)\n")
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if fearPoint<5:
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printer.text("(The Killer)\n")
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printer.text("\n\n\n\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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# cv2.waitKey(5000)
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except:
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cameraMode = False
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TIMER = 5
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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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#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.waitKey(5000)
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cameraMode = False
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TIMER = 5
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else:
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cv2.imshow('webcam',startScreen)
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key = cv2.waitKey(5) & 0xFF
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if ord('t') == key or button.is_pressed:
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cameraMode = True
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if ord('q') == key:
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break
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cam.release()
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