Help with Identifying single face in photo!

Question

Please see sample code! (HELP WITH THIS CODE)
I want to be able to see if a selected face is in a group photo, find that face, then draw a bow around that one found face.

import PIL.Image
import PIL.ImageDraw
import face_recognition
import numpy as np

# Load the image of the face you want to detect in the photo load into numpy array
peyton_manning = face_recognition.load_image_file("peyton.jpg")

# Load the group photo
denver_group_Photo = face_recognition.load_image_file('Denteam.jpg')

# Location info for Peytons Face
peyton_locations = face_recognition.face_locations(peyton_manning)

# Find all the faces in the group image
faces_in_Denver_group_photo = face_recognition.face_locations(denver_group_Photo)

number_of_faces = len(faces_in_Denver_group_photo)

print("I found {} face(s) in this photograph.".format(number_of_faces))

# Load the image into a Python Image Library object so that we can draw on top of it and display it
pil_image = PIL.Image.fromarray(denver_group_Photo)

# Encode Peyton face for comparison
peyton_encoded = face_recognition.face_encodings(peyton_manning)

# Encode entire image used to search for special case (this returns a array containing 128bit info for every face found)
group_encoded = face_recognition.face_encodings(denver_group_Photo)

for single_encode in group_encoded:

results = face_recognition.compare_faces(peyton_encoded, single_encode)

if results[0]:
print("Peyton Manning's FACE is in this photo")

for face_location in faces_in_Denver_group_photo:

# Print the location of each face in this image. Each face is a list of co-ordinates in
# (top, right, bottom, left) order.
top, right, bottom, left = face_location

# Let's draw a box around each face that the program has found!
draw = PIL.ImageDraw.Draw(pil_image)
draw.rectangle([left, top, right, bottom], outline="red",

Answer 1

Don't know about that but you could use a haar Cascade to build your custom face recogniser.

Tutorial link: https://youtu.be/ydSXgBZ1ybk