import math import time import numpy as np import cv2 #pip install opencv-python ||| pip3 install opencv-contrib-python==4.4.0.46 from gpiozero import Button from escpos.printer import Serial from PIL import Image from PIL import ImageDraw from PIL import ImageFont from deepface import DeepFace #pip install deepface button = Button(2) cam = cv2.VideoCapture(0) printer = Serial(devfile='/dev/serial0',baudrate=19200,bytesize=8,parity='N',stopbits=1.00,dsrdtr=True) printer.set(density=10) cameraMode = False TIMER = 5 startScreen = cv2.imread("noFace.png") if cam.isOpened(): while True: ret, img = cam.read() # img = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE) if cameraMode and ret: prev = time.time() while TIMER > 0: ret, img = cam.read() img = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE) # cv2.putText(img, str(TIMER), (200, 250), cv2.FONT_HERSHEY_SIMPLEX, 7, (0, 255, 255), 4, cv2.LINE_AA) img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB) img = Image.fromarray(img) draw = ImageDraw.Draw(img) font_size = 350 font = ImageFont.truetype("HalloweenFont.ttf", font_size) if TIMER>1: draw.text((231, 50), str(TIMER), font=font,fill=(255,0,0,255)) img = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR) cv2.imshow('webcam',img) # print(str(TIMER)) cur = time.time() #current time if cur-prev >= 1: prev = cur TIMER = TIMER-1 key = cv2.waitKey(5) & 0xFF if ord('q') == key: break else: ret, img = cam.read() # img = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE) predictions = DeepFace.analyze(img,actions=['emotion']) fearPoint = predictions[0]["emotion"]["fear"] print("FEAR:" + str(round(fearPoint,2))) if fearPoint>0: rotoImg = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE) cv2.imwrite('scared.jpg', rotoImg) 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(2000) printer.set(align='center',font='b',width=2,height=2) printer.image("cropScared.jpg") printer.text("Fear Level: \n" + str(round(fearPoint,2))+"/100\n") printer.text("(Scream Queen)\n") #printer.set(align='center',font='b',width=1,height=1) #printer.text("Spooky Night 2023") #printer.text("2023\n") printer.text("\n\n\n\n") img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB) img = Image.fromarray(img) draw = ImageDraw.Draw(img) font_size = 65 font = ImageFont.truetype("HalloweenFont.ttf", font_size) text = "FEAR LEVEL" draw.text((144, 308), str(text), font=font,fill=(255,0,0,255)) img = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR) #print(30+math.floor(int(fearPoint)*580/100)) # 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),(30+math.floor(int(fearPoint)*580/100),450),(255,255,255), -1) cv2.imshow('webcam',img) cv2.waitKey(5000) cameraMode = False TIMER = 5 else: cv2.imshow('webcam',startScreen) key = cv2.waitKey(5) & 0xFF if ord('t') == key or button.is_pressed: cameraMode = True if ord('q') == key: break cam.release()