Python: wie löse ich AttributeError auf: 'Modul' Objekt hat kein Attribut 'Gesicht_Akognition_Modell_v1'

Question

Ich habe die Datei heruntergeladen und in das gleiche Verzeichnis von wo ich meinen Code ausgeführt habe. Aber hier facerec = dlib.face_recognition_model_v1(face_rec_model_path) Ich bekomme immer noch diese Atribute Fehler. Ich habe das volle gegeben, wo es ist, aber immer noch Fehler.
dies ist mein Code, ich kann nicht identifizieren, wo das Problem liegt?

import sys 
import os 
import dlib 
import glob 
from skimage import io 

predictor_path = '/home/irum/Desktop/DLIB-recognition/shape_predictor_68_face_landmarks.dat' 
face_rec_model_path = '/home/irum/Desktop/DLIB-recognition/dlib_face_recognition_resnet_model_v1.dat' 
faces_folder_path = '/home/irum/Desktop/DLIB-recognition/att_faces/ERSHIAN' 

# Load all the models we need: a detector to find the faces, a shape predictor 
# to find face landmarks so we can precisely localize the face, and finally the 

# face recognition model. 
detector = dlib.get_frontal_face_detector() 
sp = dlib.shape_predictor(predictor_path) 
facerec = dlib.face_recognition_model_v1(face_rec_model_path) 

win = dlib.image_window() 

# Now process all the images 
for f in glob.glob(os.path.join(faces_folder_path, "*.png")): 
    print("Processing file: {}".format(f)) 
    img = io.imread(f) 

    win.clear_overlay() 
    win.set_image(img) 

    # Ask the detector to find the bounding boxes of each face. The 1 in the 
    # second argument indicates that we should upsample the image 1 time. This 
    # will make everything bigger and allow us to detect more faces. 
    dets = detector(img, 1) 
    print("Number of faces detected: {}".format(len(dets))) 

    # Now process each face we found. 
    for k, d in enumerate(dets): 
     print("Detection {}: Left: {} Top: {} Right: {} Bottom: {}".format(
      k, d.left(), d.top(), d.right(), d.bottom())) 
     # Get the landmarks/parts for the face in box d. 
     shape = sp(img, d) 
     # Draw the face landmarks on the screen so we can see what face is currently being processed. 
     win.clear_overlay() 
     win.add_overlay(d) 
     win.add_overlay(shape) 


     face_descriptor = facerec.compute_face_descriptor(img, shape) 
     print(face_descriptor) 

     dlib.hit_enter_to_continue() 

Answer 1

Aktualisierung dlib. Führen Sie folgenden Befehl aus: pip install dlib==19.4.0

Answer 2

Sie müssen dlib installieren. Run pip install dlib