RuntimeError: Unsupported image type, must be 8bit gray or RGB image. #1573

s0m31-hub · 2024-06-22T06:00:36Z

face_recognition version: 1.2.2
Python version: 3.12.3
Operating System: Fedora 39

Description

Just trying to launch official example. The issue appears while reading jpg image, not camera input

What I Did

import face_recognition
import cv2
import numpy as np

# This is a demo of running face recognition on live video from your webcam. It's a little more complicated than the
# other example, but it includes some basic performance tweaks to make things run a lot faster:
#   1. Process each video frame at 1/4 resolution (though still display it at full resolution)
#   2. Only detect faces in every other frame of video.

# PLEASE NOTE: This example requires OpenCV (the `cv2` library) to be installed only to read from your webcam.
# OpenCV is *not* required to use the face_recognition library. It's only required if you want to run this
# specific demo. If you have trouble installing it, try any of the other demos that don't require it instead.

# Get a reference to webcam #0 (the default one)
video_capture = cv2.VideoCapture(0)

# Load a sample picture and learn how to recognize it.
obama_image = face_recognition.load_image_file("obama.jpg")
obama_face_encoding = face_recognition.face_encodings(obama_image)[0]

# Load a second sample picture and learn how to recognize it.
biden_image = face_recognition.load_image_file("biden.jpg")
biden_face_encoding = face_recognition.face_encodings(biden_image)[0]

# Create arrays of known face encodings and their names
known_face_encodings = [
    obama_face_encoding,
    biden_face_encoding
]
known_face_names = [
    "Barack Obama",
    "Joe Biden"
]

# Initialize some variables
face_locations = []
face_encodings = []
face_names = []
process_this_frame = True

while True:
    # Grab a single frame of video
    ret, frame = video_capture.read()

    # Only process every other frame of video to save time
    if process_this_frame:
        # Resize frame of video to 1/4 size for faster face recognition processing
        small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)

        # Convert the image from BGR color (which OpenCV uses) to RGB color (which face_recognition uses)
        rgb_small_frame = small_frame[:, :, ::-1]

        # Find all the faces and face encodings in the current frame of video
        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"

            # # If a match was found in known_face_encodings, just use the first one.
            # if True in matches:
            #     first_match_index = matches.index(True)
            #     name = known_face_names[first_match_index]

            # Or instead, use the known face with the smallest distance to the new face
            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

    # Display the results
    for (top, right, bottom, left), name in zip(face_locations, face_names):
        # Scale back up face locations since the frame we detected in was scaled to 1/4 size
        top *= 4
        right *= 4
        bottom *= 4
        left *= 4

        # Draw a box around the face
        cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)

        # Draw a label with a name below the face
        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)

    # Display the resulting image
    cv2.imshow('Video', frame)

    # Hit 'q' on the keyboard to quit!
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# Release handle to the webcam
video_capture.release()
cv2.destroyAllWindows()

Traceback (most recent call last):
  File "/home/admin/PycharmProjects/faces/main.py", line 19, in <module>
    obama_face_encoding = face_recognition.face_encodings(obama_image)[0]
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/admin/.local/lib/python3.12/site-packages/face_recognition/api.py", line 213, in face_encodings
    raw_landmarks = _raw_face_landmarks(face_image, known_face_locations, model)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/admin/.local/lib/python3.12/site-packages/face_recognition/api.py", line 156, in _raw_face_landmarks
    face_locations = _raw_face_locations(face_image)
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/admin/.local/lib/python3.12/site-packages/face_recognition/api.py", line 105, in _raw_face_locations
    return face_detector(img, number_of_times_to_upsample)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: Unsupported image type, must be 8bit gray or RGB image.

The text was updated successfully, but these errors were encountered:

realalley · 2024-06-23T09:49:16Z

same problem

harrrshall · 2024-06-23T12:18:46Z

is there any find solution?

Noor161 · 2024-06-23T19:48:07Z

the same problem wuth dlib face lanmarks
dlib.get_frontal_face_detector(gray,1)

ERROR:
hog_face_detector(gray,1)
^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: Unsupported image type, must be 8bit gray or RGB image.

a year ago, it was working neatly

Noor161 · 2024-06-23T20:31:26Z

for me,
I downgraded numpy to 1.4 and imported it
dlib is not working well with numpy 2.0 version

credit for: https://stackoverflow.com/a/78638053/17027049

JustinWingChungHui · 2024-06-23T20:49:19Z

Same issue, I downgraded numpy to version 1.26.4 and it worked again
Good spot @Noor161 !

Hamza-Zartaj · 2024-06-24T04:40:25Z

so i tried downgrading to numpy version 1.4 but it is giving me some error cant install it or something i also tried it installing manualy by downloading numpy1.4 file but still same error
need help
currently have these libraries installed

JustinWingChungHui · 2024-06-24T06:36:37Z

@Hamza-Zartaj have you tried numpy 1.26.4?

zoldaten · 2024-06-24T07:47:35Z

change this:
rgb_small_frame = small_frame[:, :, ::-1]
to
rgb_small_frame = cv2.cvtColor(small_frame, cv2.COLOR_BGR2RGB)

numpy==1.26.3
opencv-python==4.9.0.80

Hamza-Zartaj · 2024-06-25T04:52:37Z

@Hamza-Zartaj have you tried numpy 1.26.4?

it was not installing i tried installing it. it had some error with latest python 3.12.4 so i was wondering if i need to downgrade my python version to something like 3.11.8
should i change python version?

OgunSerifOnargan · 2024-06-25T12:23:05Z

same problem. It looks like old error rises from the grave

OgunSerifOnargan · 2024-06-25T15:04:44Z

I downgraded my numpy from 2.0.0 to 1.26.4 solved my problem.

Hamza-Zartaj · 2024-06-25T15:12:40Z

Which python version u using for numpy 1.26.4 I tried downgrading numpy but it give some error something to do with latest python version So should I downgrade to python 3.11 or more lower like 3.9

…

On Tue, 25 Jun 2024 at 8:05 PM, Ogun Serif Onargan ***@***.***> wrote: On 16th June, numpy v2.0.0 has been released. I downgraded my numpy from 2.0.0 to 1.26.4 solved my problem. — Reply to this email directly, view it on GitHub <#1573 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/BFFISJQI2XSJ6OSTPEY5TF3ZJGBKHAVCNFSM6AAAAABJXE775SVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCOBZGIYDMNBYGU> . You are receiving this because you were mentioned.Message ID: ***@***.***>

JustinWingChungHui · 2024-06-25T15:31:32Z

@Hamza-Zartaj I was using Python 3.10.5

n07kiran · 2024-06-26T01:38:17Z

change this: rgb_small_frame = small_frame[:, :, ::-1] to rgb_small_frame = cv2.cvtColor(small_frame, cv2.COLOR_BGR2RGB)

numpy==1.26.3 opencv-python==4.9.0.80

@zoldaten Thank you! it worked.

dwaipayanddg · 2024-06-26T08:34:38Z

I have moved to these versions numpy==1.26.3 opencv-python==4.9.0.80
but it is still throwing this error to me, kindly help
Error:
subjects = detect(gray)
^^^^^^^^^^^^
RuntimeError: Unsupported image type, must be 8bit gray or RGB image.

madhuribs111 · 2024-06-26T15:56:51Z

Yep, downgraded numpy to 1.26.4 and its working..

My question is what is the relation between numpy version and the error: "RuntimeError: Unsupported image type, must be 8bit gray or RGB image."?

It's probably because openCV array structures are converted to numpy arrays ?
But why didn't I get a better exception message?

dwaipayanddg · 2024-06-26T16:48:42Z

Can you tell me, whats your python version?

madhuribs111 · 2024-06-26T20:27:54Z

@dwaipayanddg
its 3.11.3

JBelmont72 · 2024-07-06T19:47:14Z

thank you so much. I changed my bumpy to 1.26.4 and reloaded my requirements.txt. Presto.

Boonyarit2442 · 2024-07-17T07:36:23Z

use numpy==1.26.4 can complete

DeveloperLevin · 2024-07-21T10:06:15Z

@Hamza-Zartaj have you tried numpy 1.26.4?

it was not installing i tried installing it. it had some error with latest python 3.12.4 so i was wondering if i need to downgrade my python version to something like 3.11.8 should i change python version?

yes downgrde your ython version, else dlib would not work

dannamado · 2024-07-23T10:59:17Z

j'utilise la version python 3.12.4 et j'ai installé face_recognition version 1.3.0 apres l'execution du script ,je reçois une erreur comme celle ci: RuntimeError: Unsupported image type, must be 8bit gray or RGB image.

dannamado · 2024-07-23T10:59:42Z

svp aidez moi

hamstah · 2024-07-23T23:03:44Z

Downgrading worked for me

pip uninstall numpy
pip install numpy==1.26.4

ajmcgrail · 2024-07-26T02:55:13Z

Downgrading worked for me, but is there a fix in the works for face recognition/dlib to work with numpy 2.0? Not sure which project would be responsible for this fix- I imagine it's face recognition?

ramprasathmk · 2024-08-17T09:53:11Z

change this: rgb_small_frame = small_frame[:, :, ::-1] to rgb_small_frame = cv2.cvtColor(small_frame, cv2.COLOR_BGR2RGB)

numpy==1.26.3 opencv-python==4.9.0.80

@zoldaten 100% worked bruh...
Thank you so much ❤️

Python version: 3.10.x

bryango · 2024-08-24T16:45:18Z

Related: davisking/dlib#1134

ramprasathmk · 2024-08-24T17:18:44Z

Related: davisking/dlib#1134

Use Python 3.10.X version with a virtual environment to solve this error.

Check out: https://github.com/ramprasathmk/Automatic-Attendance-System-for-Face-Recognition/blob/master/Installation.md

ramprasathmk · 2024-08-24T17:20:48Z

@dwaipayanddg
its 3.11.3

python3.10 works fine, ya

mohamedmokhtar-1 · 2024-10-28T20:19:53Z

Same issue, I downgraded numpy to version 1.26.4 and it worked again Good spot @Noor161 !

thanks alot

rjgrv · 2024-10-31T16:30:47Z

pip install numpy==1.26.3
It worked!

saidakbardev005 · 2024-11-04T14:57:22Z

import cv2
import face_recognition
import numpy as np
import mysql.connector
from datetime import datetime
from PIL import Image

Load and prepare images

image1_path = r"C:\Users\Saidakbar\Desktop\camera_loyiha\pythonProject\faces\Javohirbek.jpg"
image2_path = r"C:\Users\Saidakbar\Desktop\camera_loyiha\pythonProject\faces\Saidakbarxo'ja.jpg"

Load images with error handling

image1 = cv2.imread(image1_path)
image2 = cv2.imread(image2_path)

Agar tasvirlar yuklangan bo'lsa, ularni RGB formatga o'tkazamiz

if image1 is not None:
image1 = cv2.cvtColor(image1, cv2.COLOR_BGR2RGB)
else:
print("image1 yuklanmadi.")

if image2 is not None:
image2 = cv2.cvtColor(image2, cv2.COLOR_BGR2RGB)
else:
print("image2 yuklanmadi.")

MySQL connection function

def connect_database():
conn = mysql.connector.connect(
host="localhost",
user="root",
password="saidakbardev714",
database="db1"
)
return conn

Save image name to MySQL

def save_image_path_to_db(img_name):
conn = connect_database()
cursor = conn.cursor()
current_date = datetime.now().date()
current_time = datetime.now().time()
cursor.execute("INSERT INTO talaba_ma'lumot (rasm, kun, vaqt) VALUES (%s, %s, %s)", (img_name, current_date, current_time))
conn.commit()
print(f"Rasm nomi '{img_name}' bazaga muvaffaqiyatli saqlandi.")
cursor.close()
conn.close()

Mark attendance

def markAttendance(name):
with open('Attendance.csv', 'r+') as f:
myDataList = f.readlines()
nameList = [line.split(',')[0] for line in myDataList]
if name not in nameList:
now = datetime.now()
dtString = now.strftime('%Y-%m-%d %H:%M:%S')
f.writelines(f'\n{name},{dtString}')

Encode images

def findEncodings(images):
encodeList = []
for img in images:
if img is None:
print("Tasvir yuklanmadi.")
continue
# Tasvirlarni RGB formatda ekanligiga ishonch hosil qilamiz
if img.dtype != np.uint8:
img = img.astype(np.uint8)
rgb_img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
encode = face_recognition.face_encodings(rgb_img)
if encode:
encodeList.append(encode[0])
else:
print("Yuz topilmadi.")
return encodeList

Tasvirlarni va ularning nomlarini ro'yxatga qo'shish

images = []
classNames = []
if image1 is not None:
images.append(image1)
classNames.append("Javohirbek")

if image2 is not None:
images.append(image2)
classNames.append("Saidakbarxo'ja")

Encode known faces

encodeListKnown = findEncodings(images)
print('Encodings Complete')

Start the camera

cap = cv2.VideoCapture(0)

while True:
success, img = cap.read()
imgS = cv2.resize(img, (0, 0), None, 0.25, 0.25)
imgS = cv2.cvtColor(imgS, cv2.COLOR_BGR2RGB)

# Detect faces and encode them
facesCurFrame = face_recognition.face_locations(imgS)
encodesCurFrame = face_recognition.face_encodings(imgS, facesCurFrame)

# Compare faces and save to database
for encodeFace, faceLoc in zip(encodesCurFrame, facesCurFrame):
    matches = face_recognition.compare_faces(encodeListKnown, encodeFace)
    faceDis = face_recognition.face_distance(encodeListKnown, encodeFace)
    matchIndex = np.argmin(faceDis)

    if matches[matchIndex]:
        name = classNames[matchIndex].upper()
        print(name)

        save_image_path_to_db(name)
        markAttendance(name)

        y1, x2, y2, x1 = faceLoc
        y1, x2, y2, x1 = y1 * 4, x2 * 4, y2 * 4, x1 * 4
        cv2.rectangle(img, (x1, y1), (x2, y2), (0, 255, 0), 2)
        cv2.putText(img, name, (x1 + 6, y2 - 6), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 2)

cv2.imshow('Webcam', img)

# 'q' tugmasi bosilsa, chiqish
if cv2.waitKey(1) & 0xFF == ord('q'):
    break

cap.release()
cv2.destroyAllWindows()
ushbu koddagi File "C:\Users\Saidakbar\Desktop\camera_loyiha\pythonProject.venv\lib\site-packages\face_recognition\api.py", line 121, in face_locations
return [_trim_css_to_bounds(_rect_to_css(face), img.shape) for face in _raw_face_locations(img, number_of_times_to_upsample, model)]
File "C:\Users\Saidakbar\Desktop\camera_loyiha\pythonProject.venv\lib\site-packages\face_recognition\api.py", line 105, in _raw_face_locations
return face_detector(img, number_of_times_to_upsample)
RuntimeError: Unsupported image type, must be 8bit gray or RGB image.
ushbu hatolarni tog'irlab berilar

Aanchal33Rana · 2024-11-20T15:12:56Z

I am able to print the names on terminal but its not updated on the .csv and the .csv is not converting into excel...help pls

SumitDhivar · 2024-11-25T13:11:29Z

change this: rgb_small_frame = small_frame[:, :, ::-1] to rgb_small_frame = cv2.cvtColor(small_frame, cv2.COLOR_BGR2RGB)

numpy==1.26.3 opencv-python==4.9.0.80

thanks it's work for me

Raymo111 mentioned this issue Jul 12, 2024

Switch to deepface from face_recognition boltgolt/howdy#937

Open

qiqi0308 mentioned this issue Nov 25, 2024

RuntimeError: Unsupported image type, must be 8bit gray or RGB image. #1618

Open

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RuntimeError: Unsupported image type, must be 8bit gray or RGB image. #1573

RuntimeError: Unsupported image type, must be 8bit gray or RGB image. #1573

s0m31-hub commented Jun 22, 2024

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RuntimeError: Unsupported image type, must be 8bit gray or RGB image. #1573

RuntimeError: Unsupported image type, must be 8bit gray or RGB image. #1573

Comments

s0m31-hub commented Jun 22, 2024

Description

What I Did

realalley commented Jun 23, 2024

harrrshall commented Jun 23, 2024

Noor161 commented Jun 23, 2024

Noor161 commented Jun 23, 2024 • edited Loading

JustinWingChungHui commented Jun 23, 2024 • edited Loading

Hamza-Zartaj commented Jun 24, 2024 • edited Loading

JustinWingChungHui commented Jun 24, 2024

zoldaten commented Jun 24, 2024

Hamza-Zartaj commented Jun 25, 2024

OgunSerifOnargan commented Jun 25, 2024

OgunSerifOnargan commented Jun 25, 2024 • edited Loading

Hamza-Zartaj commented Jun 25, 2024 via email

JustinWingChungHui commented Jun 25, 2024

n07kiran commented Jun 26, 2024

dwaipayanddg commented Jun 26, 2024

madhuribs111 commented Jun 26, 2024 • edited Loading

dwaipayanddg commented Jun 26, 2024

madhuribs111 commented Jun 26, 2024

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Boonyarit2442 commented Jul 17, 2024

DeveloperLevin commented Jul 21, 2024

dannamado commented Jul 23, 2024

dannamado commented Jul 23, 2024

hamstah commented Jul 23, 2024

ajmcgrail commented Jul 26, 2024

ramprasathmk commented Aug 17, 2024

bryango commented Aug 24, 2024

ramprasathmk commented Aug 24, 2024 • edited Loading

ramprasathmk commented Aug 24, 2024

mohamedmokhtar-1 commented Oct 28, 2024

rjgrv commented Oct 31, 2024

saidakbardev005 commented Nov 4, 2024

Load and prepare images

Load images with error handling

Agar tasvirlar yuklangan bo'lsa, ularni RGB formatga o'tkazamiz

MySQL connection function

Save image name to MySQL

Mark attendance

Encode images

Tasvirlarni va ularning nomlarini ro'yxatga qo'shish

Encode known faces

Start the camera

Aanchal33Rana commented Nov 20, 2024

SumitDhivar commented Nov 25, 2024

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OgunSerifOnargan commented Jun 25, 2024 •

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ramprasathmk commented Aug 24, 2024 •

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