Python:如何解决 AttributeError: 'module' 对象没有属性 'face_recognition_model_v1'

Question

我已下载该文件并将其放置在运行代码的同一目录中。但在这里 facerec = dlib.face_recognition_model_v1(face_rec_model_path) 我仍然收到此属性错误。我已经给出了完整的位置，但仍然错误。
这是我的代码，我无法确定问题出在哪里？

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

更新 dlib。运行此命令:pip install dlib==19.4.0