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48 lines
1.5 KiB
48 lines
1.5 KiB
import os, sys, random
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import argparse
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from datetime import date
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from time import strftime
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from pathlib import Path
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import cv2
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from PIL import Image, ImageDraw
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parser = argparse.ArgumentParser(description='Process an image uploaded to the server.')
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parser.add_argument('filename', action='store',
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help='Filename of photo to process')
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parser.add_argument('city', action='store',
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help='City of the visitor')
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parser.add_argument('school', action='store',
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help='School of the visitor')
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parser.add_argument('age', action='store',
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help='Age of the visitor')
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args = parser.parse_args()
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image = cv2.imread(args.filename)
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image_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
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face_cascade = cv2.CascadeClassifier("./data/haarcascade_frontalface_default.xml")
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faces = face_cascade.detectMultiScale(image_gray)
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if (len(faces) != 1):
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print(f"Error: {len(faces)} faces detected in the image.")
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sys.exit(1)
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im = Image.open(args.filename)
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draw = ImageDraw.Draw(im)
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randomFile = random.choice(os.listdir("./data/circles"))
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circle = Image.open(f"./data/circles/{randomFile}")
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for x, y, width, height in faces:
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circle = circle.resize((width * 2, height * 2), Image.ANTIALIAS)
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im.paste(circle, (x - width // 2, y - height // 2 ), circle)
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date = date.today()
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time = strftime("%H-%M-%S")
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Path(f"./processed/{date}/").mkdir(parents=True,exist_ok=True)
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im.save(f"./processed/{date}/{time}.jpg")
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sys.exit(0);
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