Error code 3221225477 when I import mediapipe in my project

[Exclaver]

OS Platform and Distribution

Windows 11

Compiler version

No response

Programming Language and version

Python Python 3.11.6

Installed using virtualenv? pip? Conda?(if python)

pip

MediaPipe version

mediapipe v 0.10.5

Bazel version

No response

XCode and Tulsi versions (if iOS)

No response

Android SDK and NDK versions (if android)

No response

Android AAR (if android)

None

OpenCV version (if running on desktop)

4.9.0.80

Describe the problem

error code=3221225477 while running the script

Complete Logs

Hey so i was following the face recognition tutorial of pysource form youtube https://www.youtube.com/watch?v=5yPeKQzCPdI&t=1377s. further i want to use mediapipe library on the same project but the moment i import mediapipe library in the project the program throws me an error code code=3221225477.Im using open cv 4.9.0.80,mediapipe 0.10.5,face-recognition 1.3.0,numpy 1.26.2
this is my code 

import cv2
import mediapipe
from simple_facerec import SimpleFacerec

sfr = SimpleFacerec()
sfr.load_encoding_images("images/")
# Load Camera
cap = cv2.VideoCapture(0)
while True:
    ret, frame = cap.read()
    # Detect Faces
    face_locations, face_names = sfr.detect_known_faces(frame)
    for face_loc, name in zip(face_locations, face_names):
        y1, x2, y2, x1 = face_loc[0], face_loc[1], face_loc[2], face_loc[3]
        cv2.putText(frame, name,(x1, y1 - 10), cv2.FONT_HERSHEY_DUPLEX, 1, (0, 0, 200), 2)
        cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 0, 200), 4)
    cv2.imshow("Frame", frame)
    key = cv2.waitKey(1)
    if key == 27:
        break
cap.release()
cv2.destroyAllWindows()

And the simple_facerec.py-

import face_recognition
import cv2
import os
import glob
import numpy as np

class SimpleFacerec:
    def __init__(self):
        self.known_face_encodings = []
        self.known_face_names = []

        # Resize frame for a faster speed
        self.frame_resizing = 0.25

    def load_encoding_images(self, images_path):
        """
        Load encoding images from path
        :param images_path:
        :return:
        """
        # Load Images
        images_path = glob.glob(os.path.join(images_path, "*.*"))

        print("{} encoding images found.".format(len(images_path)))

        # Store image encoding and names
        for img_path in images_path:
            img = cv2.imread(img_path)
            rgb_img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)

            # Get the filename only from the initial file path.
            basename = os.path.basename(img_path)
            (filename, ext) = os.path.splitext(basename)
            # Get encoding
            img_encoding = face_recognition.face_encodings(rgb_img)[0]

            # Store file name and file encoding
            self.known_face_encodings.append(img_encoding)
            self.known_face_names.append(filename)
        print("Encoding images loaded")

    def detect_known_faces(self, frame):
        small_frame = cv2.resize(frame, (0, 0), fx=self.frame_resizing, fy=self.frame_resizing)
        # Find all the faces and face encodings in the current frame of video
        # Convert the image from BGR color (which OpenCV uses) to RGB color (which face_recognition uses)
        rgb_small_frame = cv2.cvtColor(small_frame, cv2.COLOR_BGR2RGB)
        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(self.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(self.known_face_encodings, face_encoding)
            best_match_index = np.argmin(face_distances)
            if matches[best_match_index]:
                name = self.known_face_names[best_match_index]
            face_names.append(name)

        # Convert to numpy array to adjust coordinates with frame resizing quickly
        face_locations = np.array(face_locations)
        face_locations = face_locations / self.frame_resizing
        return face_locations.astype(int), face_names

the program runs as usual without the import of mediapipe library.
Solutions I tried-
1.Updated all the libraries
2.Reinstalled python
3.Reinstalled windows

[kuaashish]

Hi @Exclaver,

It appears to be a Windows OS issue. The error code 3221225477 points to NTSTATUS STATUS_ACCESS_VIOLATION, signaling invalid memory access.

Alternatively, Visual Studio can help identify the problematic module. To address this, follow the recommendations in the thread: clean up module installations and update to the latest versions. Could you please try the suggestions outlined there?

Thank you!

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