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@LordGhostX
Created March 10, 2020 01:11
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Simple face recognition - Python
import cv2
import face_recognition
import base64
import io
import os
import numpy as np
from imageio import imread
def get_face_encoding(image):
face_encoding = face_recognition.face_encodings(image)[0]
return {
"face_encoding": face_encoding
}
def match_encoding(image, db_encodings):
face_encoding = get_face_encoding(image)["face_encoding"]
matches = face_recognition.compare_faces(db_encodings[0], face_encoding)
name = "Unknown"
face_distances = face_recognition.face_distance(db_encodings[0], face_encoding)
best_match_index = np.argmin(face_distances)
if matches[best_match_index]:
name = db_encodings[1][best_match_index]
if name != "Unknown":
return {
"valid": True,
"face_encoding": face_encoding,
"name": name
}
else:
return {
"valid": False,
"name": name
}
def save_new_encoding(image, name, testing=False):
face_encoding = get_face_encoding(image)["face_encoding"]
if testing:
return face_encoding, name
else:
# add encoding and name to db
db_encodings = [[], []]
# save as a 2D array; face on left, name on right
db_encodings[0].append(face_encoding)
db_encodings[1].append(name)
def base64_to_img(base64):
image = imread(io.BytesIO(base64.b64decode(base64)))
return {
"image": image
}
def imgfile_to_img(file):
image = cv2.cvtColor(cv2.imread(file), cv2.COLOR_BGR2RGB)
return {
"image": image
}
def run_test():
base_path = "test/"
known_dir = "known/"
others_dir = "others/"
known_images = [[], []]
for file in os.listdir(os.path.join(base_path, known_dir)):
face_encoding, name = save_new_encoding(imgfile_to_img(os.path.join(base_path, known_dir, file))["image"], file, True)
known_images[0].append(face_encoding)
known_images[1].append(name)
for file in os.listdir(os.path.join(base_path, others_dir)):
match = match_encoding(imgfile_to_img(os.path.join(base_path, others_dir, file))["image"], known_images)
if match["valid"]:
print("Registered face", match["name"])
else:
print("Unregistered face", match["name"])
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