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ageitgey / face_recognition

The world's simplest facial recognition api for Python and the command line
MIT License
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ValueError: operands could not be broadcast together with shapes (1,0) (128,) #1299

Open shubhamtechgeek opened 3 years ago

shubhamtechgeek commented 3 years ago

Description

I am trying to do basic face recognition I keep on getting an error ValueError: operands could not be broadcast together with shapes (1,0) (128,) IMPORTANT: If your issue is related to a specific picture, include it so others can reproduce the issue.

What I Did

import numpy as np import face_recognition as fr import cv2

video_capture = cv2.VideoCapture(0, cv2.CAP_DSHOW)

test_image = fr.load_image_file("test.jpg") test_face_encoding = fr.face_encodings(test_image) if(len(test_face_encoding) > 0): test_face_encoding = test_face_encodings[0] known_face_encodings = [test_face_encoding] known_face_names = ["Shubham"]

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

rgb_frame = frame[:, :, ::-1]

face_locations = fr.face_locations(rgb_frame)
face_encodings = fr.face_encodings(rgb_frame, face_locations)

for (top, right, bottom, left), face_encoding in zip(face_locations, face_encodings):

    matches = fr.compare_faces(known_face_encodings, face_encoding)

    name = "Unknown"

    face_distances = fr.face_distance(known_face_encoding, 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 -35), (right, bottom), (0, 0, 255), cv2.FILLED)
    font = cv2.FONT_HERSHEY_SIMPLEX
    cv2.putText(frame, name, (left + 6, bottom - 6), font, 1.0, (255, 255, 255), 1)

cv2.imshow('Webcam_facerecognition', frame)

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

video_capture.release() cv2.destroyAllWindows()

output: Traceback (most recent call last): File "c:\Users\shubh\facerecognition\face_recognition_webcam.py", line 24, in matches = fr.compare_faces(known_face_encodings, face_encoding) File "C:\Users\shubh\facerecognition\venv\lib\site-packages\face_recognition\api.py", line 226, in compare_faces return list(face_distance(known_face_encodings, face_encoding_to_check) <= tolerance) File "C:\Users\shubh\facerecognition\venv\lib\site-packages\face_recognition\api.py", line 75, in face_distance return np.linalg.norm(face_encodings - face_to_compare, axis=1) ValueError: operands could not be broadcast together with shapes (1,0) (128,)

Fanthers commented 3 years ago 
* face_recognition version:

* Python version:

* Operating System:

Description

I am trying to do basic face recognition I keep on getting an error ValueError: operands could not be broadcast together with shapes (1,0) (128,) IMPORTANT: If your issue is related to a specific picture, include it so others can reproduce the issue.

What I Did

import numpy as np import face_recognition as fr import cv2

video_capture = cv2.VideoCapture(0, cv2.CAP_DSHOW)

test_image = fr.load_image_file("test.jpg") test_face_encoding = fr.face_encodings(test_image) if(len(test_face_encoding) > 0): test_face_encoding = test_face_encodings[0] known_face_encodings = [test_face_encoding] known_face_names = ["Shubham"]

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

rgb_frame = frame[:, :, ::-1]

face_locations = fr.face_locations(rgb_frame)
face_encodings = fr.face_encodings(rgb_frame, face_locations)

for (top, right, bottom, left), face_encoding in zip(face_locations, face_encodings):

    matches = fr.compare_faces(known_face_encodings, face_encoding)

    name = "Unknown"

    face_distances = fr.face_distance(known_face_encoding, 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 -35), (right, bottom), (0, 0, 255), cv2.FILLED)
    font = cv2.FONT_HERSHEY_SIMPLEX
    cv2.putText(frame, name, (left + 6, bottom - 6), font, 1.0, (255, 255, 255), 1)

cv2.imshow('Webcam_facerecognition', frame)

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

video_capture.release() cv2.destroyAllWindows()

output: Traceback (most recent call last): File "c:\Users\shubh\facerecognition\face_recognition_webcam.py", line 24, in matches = fr.compare_faces(known_face_encodings, face_encoding) File "C:\Users\shubh\facerecognition\venv\lib\site-packages\face_recognition\api.py", line 226, in compare_faces return list(face_distance(known_face_encodings, face_encoding_to_check) <= tolerance) File "C:\Users\shubh\facerecognition\venv\lib\site-packages\face_recognition\api.py", line 75, in face_distance return np.linalg.norm(face_encodings - face_to_compare, axis=1) ValueError: operands could not be broadcast together with shapes (1,0) (128,)

i have the same issue, how did you solve it

shubhamtechgeek commented 3 years ago 
* face_recognition version:

* Python version:

* Operating System:

Description

I am trying to do basic face recognition I keep on getting an error ValueError: operands could not be broadcast together with shapes (1,0) (128,) IMPORTANT: If your issue is related to a specific picture, include it so others can reproduce the issue.

What I Did

import numpy as np import face_recognition as fr import cv2 video_capture = cv2.VideoCapture(0, cv2.CAP_DSHOW) test_image = fr.load_image_file("test.jpg") test_face_encoding = fr.face_encodings(test_image) if(len(test_face_encoding) > 0): test_face_encoding = test_face_encodings[0] known_face_encodings = [test_face_encoding] known_face_names = ["Shubham"] while True: ret, frame = video_capture.read()

rgb_frame = frame[:, :, ::-1]

face_locations = fr.face_locations(rgb_frame)
face_encodings = fr.face_encodings(rgb_frame, face_locations)

for (top, right, bottom, left), face_encoding in zip(face_locations, face_encodings):

    matches = fr.compare_faces(known_face_encodings, face_encoding)

    name = "Unknown"

    face_distances = fr.face_distance(known_face_encoding, 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 -35), (right, bottom), (0, 0, 255), cv2.FILLED)
    font = cv2.FONT_HERSHEY_SIMPLEX
    cv2.putText(frame, name, (left + 6, bottom - 6), font, 1.0, (255, 255, 255), 1)

cv2.imshow('Webcam_facerecognition', frame)

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

video_capture.release() cv2.destroyAllWindows() output: Traceback (most recent call last): File "c:\Users\shubh\facerecognition\face_recognition_webcam.py", line 24, in matches = fr.compare_faces(known_face_encodings, face_encoding) File "C:\Users\shubh\facerecognition\venv\lib\site-packages\face_recognition\api.py", line 226, in compare_faces return list(face_distance(known_face_encodings, face_encoding_to_check) <= tolerance) File "C:\Users\shubh\facerecognition\venv\lib\site-packages\face_recognition\api.py", line 75, in face_distance return np.linalg.norm(face_encodings - face_to_compare, axis=1) ValueError: operands could not be broadcast together with shapes (1,0) (128,)

i have the same issue, how did you solve it

No I was not able to solve it :(