Real-Time Face Recognition with Python and OpenCV - A Step-by-Step Guide 🚀 

Does it still work? with current updates.. I'm asking cuz i'm gonna purchase it.

Yes brother still it works

I just uninstalled numpy 2.x.x, and then installed older version 1.26.4 (pip install numpy==1.26.4)

@@vlad_the_player Thank you bro

Unfortunately, most face recognition libraries don't officially support Windows. However, you can try this complete face recognition project that doesn't require a face recognition library: Real-time Face Recognition System using Python & OpenCV. It should work well for you! apycoder.com/product/real-time-face-recognition-system-using-python-opencv/

@@apycoder I somehow made it work but sometimes it is predicting wrong is it because of less entries in the dataset?

Send your error code

I also got the same error

Check face recognition library documentation. Is it compatible with your operating systems or not

@@apycoder IndentationError: unindent does not match any outer indentation level Help me

did u figure it out how?

​@@Atlantic025 yes brother you can get code for this , just msg me on WhatsApp

Ok yolo tutorial will come soon 🥰

for these error you will have to install cmaker in your device so that the pkg can be compilled inorder to be runned

What's app me and get source code. And check email you may have received an email, and there is download link 🔗

@@apycoder how can I get number

pip install face_recognition pip install opencv-python If you don't have Python installed, download and install it from the official Python website:

Please what's app me , I will help you in installation

Send me code on WhatsApp, you can find my what's app no on my website

Check my video there is specific for object detection, eye detection, blink counter, and driver drowsiness detection

Yes, you can use a Raspberry Pi for a face recognition project via SSH. You'll need to set up the necessary software and libraries on your Raspberry Pi, and then you can access and control it remotely using SSH. Make sure your Raspberry Pi has a camera module or a compatible USB camera for capturing images for face recognition.

Yes python face recognition library is based on CNN

​​@@apycodervai please give the source code

Go and visit again to get Source code , i have added link in the description

Join our WhatsApp group

Linux OS and visual studio code for this project

If you are using window os then give the complete image path

Send me code on WhatsApp

Re-check the name there must be a typo in your code, Here is the working code: import cv2 import face_recognition # Load known face encodings & names known_face_encodings = [] known_face_names = [] # Load known faces & their names known_person1_image = face_recognition.load_image_file("Photos/Dev.jpg") known_person2_image = face_recognition.load_image_file("Photos/Elon.jpg") known_person1_encoding = face_recognition.known_face_encodings(known_person1_image)[0] known_person2_encoding = face_recognition.known_face_encodings(known_person2_image)[0] known_face_encodings.append(known_person1_encoding) known_face_encodings.append(known_person2_encoding) known_face_name.append("Dev") known_face_name.append("Elon") # Initialize the webcam video_capture = cv2.VideoCapture(0) while True: # Capture frame by frame ret, frame = video_capture.read() # Find all face location in the current frame face_locations = face_recognition.face_location(frame) face_encodings = face_recognition.face_encoding(frame, face_location) # Loop through each frame found in the frame for (top, right, bottom, left), face_encoding in zip(face_location, face_encodings): # Check if face matches any known faces matches = face_recognition.compare_faces(known_face_encodings, face_encoding) name = "Unknown" if True in matches: first_match_index = matches.index(True) name = known_face_names[first_match_index] #Draw a box around the box & label the face_encoding cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2) cv2.putText(frame, name, (left, top - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 0, 255), 2) # Display the resulting frame cv2.imshow("Video", frame) if cv2.waitKey(1) & 0xFF == ord('q'): break # Release the webcam and close OpenCV video_capture.release() cv2.destroyAllWindows()

Try this: import cv2 import face_recognition # Load known face encodings & names known_face_encodings = [] known_face_names = [] # Load known faces & their names known_person1_image = face_recognition.load_image_file("Photos/Dev.jpg") known_person2_image = face_recognition.load_image_file("Photos/Elon.jpg") known_person1_encoding = face_recognition.face_encodings(known_person1_image)[0] known_person2_encoding = face_recognition.face_encodings(known_person2_image)[0] known_face_encodings.append(known_person1_encoding) known_face_encodings.append(known_person2_encoding) known_face_names.append("Dev") known_face_names.append("Elon") # Initialize the webcam video_capture = cv2.VideoCapture(0) while True: # Capture frame by frame ret, frame = video_capture.read() # Find all face location in the current frame face_locations = face_recognition.face_locations(frame) face_encodings = face_recognition.face_encodings(frame, face_locations) # Loop through each frame found in the frame for (top, right, bottom, left), face_encoding in zip(face_locations, face_encodings): # Check if face matches any known faces matches = face_recognition.compare_faces(known_face_encodings, face_encoding) name = "Unknown" if True in matches: first_match_index = matches.index(True) name = known_face_names[first_match_index] #Draw a box around the box & label the face_encoding cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2) cv2.putText(frame, name, (left, top - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 0, 255), 2) # Display the resulting frame cv2.imshow("Video", frame) if cv2.waitKey(1) & 0xFF == ord('q'): break # Release the webcam and close OpenCV video_capture.release() cv2.destroyAllWindows()

I am getting name error in code how to correct this?

Sure

Join our WhatsApp group and send me your code

8 hour hogaya error solve nahi horaha dimak ka dahi hogaya😒😒

Share code on WhatsApp I Will check and let you know what's the problem is

Keep all the images in the same working directory

This error occurred when python code is unable to find your images path, make sure to keep all the images in the same working directory

@@apycoder whatappps no. ?

There is a source code link in the description

import cv2 import face_recognition # Load known face encodings & names known_face_encodings = [] known_face_names = [] # Load known faces & their names known_person1_image = face_recognition.load_image_file("Photos/Dev.jpg") known_person2_image = face_recognition.load_image_file("Photos/Elon.jpg") known_person1_encoding = face_recognition.face_encodings(known_person1_image)[0] known_person2_encoding = face_recognition.face_encodings(known_person2_image)[0] known_face_encodings.append(known_person1_encoding) known_face_encodings.append(known_person2_encoding) known_face_names.append("Dev") known_face_names.append("Elon") # Initialize the webcam video_capture = cv2.VideoCapture(0) while True: # Capture frame by frame ret, frame = video_capture.read() # Find all face location in the current frame face_locations = face_recognition.face_locations(frame) face_encodings = face_recognition.face_encodings(frame, face_locations) # Loop through each frame found in the frame for (top, right, bottom, left), face_encoding in zip(face_locations, face_encodings): # Check if face matches any known faces matches = face_recognition.compare_faces(known_face_encodings, face_encoding) name = "Unknown" if True in matches: first_match_index = matches.index(True) name = known_face_names[first_match_index] #Draw a box around the box & label the face_encoding cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2) cv2.putText(frame, name, (left, top - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 0, 255), 2) # Display the resulting frame cv2.imshow("Video", frame) if cv2.waitKey(1) & 0xFF == ord('q'): break # Release the webcam and close OpenCV video_capture.release() cv2.destroyAllWindows()

I am using Kali Linux OS , and visual studio code for development

the camera never shows up @@apycoder

​@@apycoder it can run on windows or not?

Officially the face recognition library doesn't support windows. So it won't run

There is a separate video for face recognition based attendance system

@@apycoder watched it already