File size: 1,395 Bytes
b2b9493 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 |
from deepface import DeepFace
from PIL import Image
import requests
import tempfile
import os
def verify_faces(img1_url, img2_url):
# Download the images from the URLs
response1 = requests.get(img1_url)
response2 = requests.get(img2_url)
# Check if the requests were successful
if response1.status_code == 200 and response2.status_code == 200:
# Create temporary files to store the downloaded images
with tempfile.NamedTemporaryFile(delete=False, suffix='.jpg') as img1_tempfile:
img1_tempfile.write(response1.content)
img1_path = img1_tempfile.name
with tempfile.NamedTemporaryFile(delete=False, suffix='.jpg') as img2_tempfile:
img2_tempfile.write(response2.content)
img2_path = img2_tempfile.name
# Load the images using PIL
img1_pil = Image.open(img1_path)
img2_pil = Image.open(img2_path)
# Perform facial recognition with deep_face
result = DeepFace.verify(img1_path=img1_path, img2_path=img2_path, model_name='VGG-Face')
if result["verified"]:
print("RESULT: Faces Matched!")
else:
print("RESULT: Faces Don't Match")
# Delete the temporary files when done
os.remove(img1_path)
os.remove(img2_path)
else:
print("Failed to download one or both of the images from the URLs.")
|