face_recognition only works with obama.

[hexisXz]

• face_recognition version: 1.2.2
• Python version: Python 3.10.12
• Operating System: Linux mint

Description

I copied the [Recognize faces in live video using your webcam - Simple / Slower Version to a file changed obama & biden to the faces I want irl and I just get this error (IndexError: list index out of range) but when I use the defaults it works fine....

here is the code that I added my own pictures in

import face_recognition
import cv2
import numpy as np


video_capture = cv2.VideoCapture(2)

#obama_image = face_recognition.load_image_file("obama.jpg")
#obama_face_encoding = face_recognition.face_encodings(obama_image)[0]


MY FACE_image = face_recognition.load_image_file("MY FACE.jpg")
MY FACE_face_encoding = face_recognition.face_encodings(MY FACE_image)[0]



#biden_image = face_recognition.load_image_file("biden.jpg")
#biden_face_encoding = face_recognition.face_encodings(biden_image)[0]

known_face_encodings = [
    MY FACE_face_encoding
]
known_face_names = [
     "My face"

face_locations = []
face_encodings = []
face_names = []
process_this_frame = True

while True:
    ret, frame = video_capture.read()

    if process_this_frame:
        small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)

        rgb_small_frame = small_frame[:, :, ::-1]
        

        face_locations = face_recognition.face_locations(rgb_small_frame)
        face_encodings = face_recognition.face_encodings(rgb_small_frame, face_locations)

        face_names = []
        for face_encoding in face_encodings:
            # See if the face is a match for the known face(s)
            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]

            face_names.append(name)

    process_this_frame = not process_this_frame


    for (top, right, bottom, left), name in zip(face_locations, face_names):
        top *= 4
        right *= 4
        bottom *= 4
        left *= 4

        cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)

        cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 0, 255), cv2.FILLED)
        font = cv2.FONT_HERSHEY_DUPLEX
        cv2.putText(frame, name, (left + 6, bottom - 6), font, 1.0, (255, 255, 255), 1)

    cv2.imshow('Video', frame)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break


video_capture.release()
cv2.destroyAllWindows()

[AbdurNawaz]

you're most probably getting the error while calculating face_encodings - I had the same issue, it got resolved after I removed extra information from my image (metadata). This library seems to not work when your image has metadata.

[DiaosWang]

@AbdurNawaz hello，how to remove extra information from my image(metadata) ?

[DiaosWang]

Maybe we can try cv2.imread to load imgs, as blow:

import cv2  
import face_recognition
import os 

root = './imgs/known_peoples/'

for name in os.listdir(root):
    img_path = os.path.join(root, name )
    img = cv2.imread(img_path)[:,:,::-1]
    num_face = len(face_recognition.face_encodings(img))
    print(name,  num_face)

The above code can correctly face_encodings face from personal face. The reason is, as @AbdurNawaz , that `cv2.imread' gets only the image data.