#VSCode – Let’s do some #FaceRecognition with 20 lines in #Python (4/N)

Buy Me A Coffee


Quick post today. I’ll pickup yesterday demo, showing the facial features and adding Face Recognition on top of that. In other words, we’ll move from this

To this

With a couple of extra lines for face recognition

import face_recognition
import cv2
import numpy as np
def LoadFaces():
bruno_image = face_recognition.load_image_file("d:\Faces\Bruno1.jpg")
bruno_face_encoding = face_recognition.face_encodings(bruno_image)[0]
valentino_image = face_recognition.load_image_file("d:\Faces\Valen1.jpg")
valentino_face_encoding = face_recognition.face_encodings(valentino_image)[0]
known_face_encodings = [
known_face_names = [
return known_face_encodings, known_face_names;
video_capture = cv2.VideoCapture(0)
known_face_encodings, known_face_names = LoadFaces()
while True:
ret, frame = video_capture.read()
rgb_frame = frame[:, :, ::1]
face_landmarks_list = face_recognition.face_landmarks(rgb_frame)
for face_landmarks in face_landmarks_list:
for facial_feature in face_landmarks.keys():
pts = np.array([face_landmarks[facial_feature]], np.int32)
pts = pts.reshape((1,1,2))
cv2.polylines(frame, [pts], False, (0,255,0))
face_locations = face_recognition.face_locations(rgb_frame)
face_encodings = face_recognition.face_encodings(rgb_frame, face_locations)
for (top, right, bottom, left), face_encoding in zip(face_locations, face_encodings):
matches = face_recognition.compare_faces(known_face_encodings, face_encoding)
name = "Unknown"
face_distances = face_recognition.face_distance(known_face_encodings, face_encoding)
best_match_index = np.argmin(face_distances)
if matches[best_match_index]:
name = known_face_names[best_match_index]
#cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)
cv2.rectangle(frame, (left, bottom), (right, bottom), (0, 255, 0), cv2.FILLED)
cv2.putText(frame, name, (left + 6, bottom 6), font, 0.7, (255, 255, 255), 1)
cv2.imshow('Video', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):

There is some room for performance improvement, so I’ll focus on this in next posts.

The complete project is available here https://github.com/elbruno/Blog/tree/master/20190528%20Python%20FaceRecognition

Happy Coding!

Greetings @ Burlington

El Bruno


My Posts

  1. Detecting Faces with 20 lines in Python
  2. Face Recognition with 20 lines in Python
  3. Detecting Facial Features with 20 lines in Python

7 thoughts on “#VSCode – Let’s do some #FaceRecognition with 20 lines in #Python (4/N)

  1. I hate to break it to you Amigo, but this is closer to 40 lines 🤣🤣🤣.

    Neat stuff, we should get this into all the inno studios. See you in Milan next week.

    Liked by 1 person

  2. Hi Bruno,
    I am a student who is currently doing facial recognition for my project. And I have followed your guide from this website https://elbruno.com/2019/05/30/vscode-lets-do-some-facerecognition-with-20-lines-in-python-4-n/ However, there was some issues with the accuracy of the face recognition. I was wondering if there is a way to add more image to the data base instead using only one picture to increase the dataset ? Below is an example of the code i used to retrieve the image. May i know how do i retrieve a set of image instead of a single image for better accuracy ?

    JIMMY_image = face_recognition.load_image_file(r”/Users/jimmy/Desktop/Face/JIMMY/JIMMY.jpeg”)


Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.