when I import face_recognition module Python stop working.

[ridarafisyed]

I dont know what is the isssue. I reinstall my window and only install Visual studio 2019. then miniconda3. In env i install opencv, Cmake and then pip --no-cache-dir install face_recognition everything goes well. but when I import face_recognition python stop working error pop up.

[taily-khucnaykhongquantrong]

Me too, when I press enter, it auto exit python console

[MrShafqatNadeem]

Same issue i'm having with my laptop... re installed my windows, and every software that is required. like python, Miniconda, even created new environment but the problem remained same, ... alas

[ridarafisyed]

Finally, i'have solved my issue by installing newer version of windows 10, it seems some kind of compatibility issue and it fails to compile dlib properly and when we import face_recognition python stop working.

[Raj9417]

Im having the same issue in PyCharm IDE, when i use import face_recognition im getting this code:

C:\Users\User.conda\envs\opencv-env\python.exe C:/Users/User/Desktop/CsvTrial/face_recognizer.py

Process finished with exit code -1073741795 (0xC000001D)

================================================
Below is my code that i use to run in windows 10 all updated ,pycharm also updated

import face_recognition
import cv2
import sys
import os

The output video

#fourcc = cv2.VideoWriter_fourcc(0)
#output_movie = cv2.VideoWriter('tbbt_output.avi', fourcc, 30, (1280, 720))
print("Hiu") # this line was to test whether the code coming through this line or not.

Open the input movie file

input_movie = cv2.VideoCapture(0)
length = int(input_movie.get(cv2.CAP_PROP_FRAME_COUNT))

Load some sample pictures and learn how to recognize them.

lmm_image = face_recognition.load_image_file("C:/Users/User/Desktop/CsvTrial/vimalraj.jpg")
lmm_face_encoding = face_recognition.face_encodings(lmm_image)[0]

al_image = face_recognition.load_image_file("C:/Users/User/Desktop/CsvTrial/kirpal.jpg")
al_face_encoding = face_recognition.face_encodings(al_image)[0]

known_faces = [
lmm_face_encoding,
al_face_encoding
]

Initialize some variables

face_locations = []
face_encodings = []
face_names = []
frame_number = 0

current_path = "C:/Users/User/Desktop/CsvTrial"
print(current_path)

counter = 0
counter1 = 0

while True:
# Grab a single frame of video
ret, frame = input_movie.read()
frame_number += 1

# Quit when the input video file ends
if not ret:
    break

# Find all the faces and face encodings in the current frame of video
face_locations = face_recognition.face_locations(frame)
face_encodings = face_recognition.face_encodings(frame, face_locations)

face_names = []
for face_encoding in face_encodings:
    # See if the face is a match for the known face(s)
    match = face_recognition.compare_faces(known_faces, face_encoding, tolerance=0.50)

    # If you had more than 2 faces, you could make this logic a lot prettier
    # but I kept it simple for the demo
    name = None
    if match[0]:
        name = "Vimalraj"
    elif match[1]:
        name = "Kirpal"

    face_names.append(name)

# Label the results
for (top, right, bottom, left), name in zip(face_locations, face_names):
    if not name:
        continue

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

    crop_img = frame[top:bottom, left:right]
    if(name == "Vimalraj"):
        cv2.imwrite(current_path + "/face_database/Vimalraj/" + "vimalraj"+str(counter)+".png",crop_img)
        counter = counter + 1
    elif(name == "Kirpal"):
        cv2.imwrite(current_path + "/face_database/Kirpal/" + "kirpal"+str(counter1)+".png",crop_img)
        counter1 = counter1 + 1

    # 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)

# Write the resulting image to the output video file
input_movie.write(frame)
print("Writing frame {} / {}".format(frame_number, length))

cv2.imshow('face_recog_crop', frame)
# Hit 'q' on the keyboard to quit!
if cv2.waitKey(10) & 0xFF == ord('q'):
    break

All done!

input_movie.release()
cv2.destroyAllWindows()
create_csv.CreateCsv(current_path + "/face_database/")

=============================================
Please help ...

[Raj9417]

Im having the same issue in PyCharm IDE, when i use import face_recognition im getting this code:

C:\Users\User.conda\envs\opencv-env\python.exe C:/Users/User/Desktop/CsvTrial/face_recognizer.py

Process finished with exit code -1073741795 (0xC000001D)

================================================

Below is my code that i use to run in windows 10 all updated ,pycharm also updated
import face_recognition
import cv2
import sys
import os

The output video

#fourcc = cv2.VideoWriter_fourcc(0)
#output_movie = cv2.VideoWriter('tbbt_output.avi', fourcc, 30, (1280, 720))
print("Hiu") # this line was to test whether the code coming through this line or not.

Open the input movie file

input_movie = cv2.VideoCapture(0)
length = int(input_movie.get(cv2.CAP_PROP_FRAME_COUNT))

Load some sample pictures and learn how to recognize them.

lmm_image = face_recognition.load_image_file("C:/Users/User/Desktop/CsvTrial/vimalraj.jpg")
lmm_face_encoding = face_recognition.face_encodings(lmm_image)[0]

al_image = face_recognition.load_image_file("C:/Users/User/Desktop/CsvTrial/kirpal.jpg")
al_face_encoding = face_recognition.face_encodings(al_image)[0]

known_faces = [
lmm_face_encoding,
al_face_encoding
]

Initialize some variables

face_locations = []
face_encodings = []
face_names = []
frame_number = 0

current_path = "C:/Users/User/Desktop/CsvTrial"
print(current_path)

counter = 0
counter1 = 0

while True:

Grab a single frame of video

ret, frame = input_movie.read()
frame_number += 1

# Quit when the input video file ends
if not ret:
    break

# Find all the faces and face encodings in the current frame of video
face_locations = face_recognition.face_locations(frame)
face_encodings = face_recognition.face_encodings(frame, face_locations)

face_names = []
for face_encoding in face_encodings:
    # See if the face is a match for the known face(s)
    match = face_recognition.compare_faces(known_faces, face_encoding, tolerance=0.50)

    # If you had more than 2 faces, you could make this logic a lot prettier
    # but I kept it simple for the demo
    name = None
    if match[0]:
        name = "Vimalraj"
    elif match[1]:
        name = "Kirpal"

    face_names.append(name)

# Label the results
for (top, right, bottom, left), name in zip(face_locations, face_names):
    if not name:
        continue

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

    crop_img = frame[top:bottom, left:right]
    if(name == "Vimalraj"):
        cv2.imwrite(current_path + "/face_database/Vimalraj/" + "vimalraj"+str(counter)+".png",crop_img)
        counter = counter + 1
    elif(name == "Kirpal"):
        cv2.imwrite(current_path + "/face_database/Kirpal/" + "kirpal"+str(counter1)+".png",crop_img)
        counter1 = counter1 + 1

    # 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)

# Write the resulting image to the output video file
input_movie.write(frame)
print("Writing frame {} / {}".format(frame_number, length))

cv2.imshow('face_recog_crop', frame)
# Hit 'q' on the keyboard to quit!
if cv2.waitKey(10) & 0xFF == ord('q'):
    break

All done!

input_movie.release()
cv2.destroyAllWindows()
create_csv.CreateCsv(current_path + "/face_database/")

=============================================
Please help ...

Solve it by reinstalling all on same version, previously python version was 3.7 and the dlib,face_recognition was for python3.6.

Then i watch a video on this link:
https://www.youtube.com/watch?v=HqjcqpCNiZg

where the way the person install dlib was perfect for windows and i install all libraries such as numpy,argparse,imutils and etc same like in video and solve the error.

[ridarafisyed]

Issue solved by reinstalling every thing!