De skimage import io erreur trace retour

Question

J'essaye dlib pour la reconnaissance de visage. Mais quand j'exécute le programme j'ai une erreur avec skimage. Quelqu'un peut-il m'aider? J'essayer de le résoudre, mais je ne peux pas

from skimage.io import imread 
import sys 
import os 
import dlib 
import glob 
import numpy 



if len(sys.argv) != 4: 
print(
    "Call this program like this:\n" 
    " ./face_recognition.py shape_predictor_68_face_landmarks.dat dlib_face_recognition_resnet_model_v1.dat ../examples/faces\n" 
    "You can download a trained facial shape predictor and recognition model from:\n" 
    " http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2\n" 
    " http://dlib.net/files/dlib_face_recognition_resnet_model_v1.dat.bz2") 
exit() 

predictor_path = sys.argv[1] 
face_rec_model_path = sys.argv[2] 
faces_folder_path = sys.argv[3] 


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() 


for f in glob.glob(os.path.join(faces_folder_path, "*.jpg")): 
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) 

    # Compute the 128D vector that describes the face in img identified by 
    # shape. In general, if two face descriptor vectors have a Euclidean 
    # distance between them less than 0.6 then they are from the same 
    # person, otherwise they are from different people. He we just print 
    # the vector to the screen. 
    face_descriptor = facerec.compute_face_descriptor(img, shape) 
    print(face_descriptor) 
    # It should also be noted that you can also call this function like this: 
    # face_descriptor = facerec.compute_face_descriptor(img, shape, 100) 
    # The version of the call without the 100 gets 99.13% accuracy on LFW 
    # while the version with 100 gets 99.38%. However, the 100 makes the 
    # call 100x slower to execute, so choose whatever version you like. To 
    # explain a little, the 3rd argument tells the code how many times to 
    # jitter/resample the image. When you set it to 100 it executes the 
    # face descriptor extraction 100 times on slightly modified versions of 
    # the face and returns the average result. You could also pick a more 
    # middle value, such as 10, which is only 10x slower but still gets an 
    # LFW accuracy of 99.3%. 


    dlib.hit_enter_to_continue() 

Et mon message d'erreur comme celui-ci

Traceback (most recent call last): 
File "C:/Users/Android/Downloads/Compressed/dlib-19.4/dlib-19.4/python_examples/face_recognition.py", line 48, in <module> 
from skimage.io import imread 
File "C:\Users\Android\AppData\Local\Programs\Python\Python35\lib\site-packages\skimage\io\__init__.py", line 11, in <module> 
from ._io import * 
File "C:\Users\Android\AppData\Local\Programs\Python\Python35\lib\site-packages\skimage\io\_io.py", line 7, in <module> 
from ..color import rgb2grey 
File "C:\Users\Android\AppData\Local\Programs\Python\Python35\lib\site-packages\skimage\color\__init__.py", line 1, in <module> 
from .colorconv import (convert_colorspace, 
File "C:\Users\Android\AppData\Local\Programs\Python\Python35\lib\site-packages\skimage\color\colorconv.py", line 59, in <module> 
from scipy import linalg 
File "C:\Users\Android\AppData\Local\Programs\Python\Python35\lib\site-packages\scipy\__init__.py", line 61, in <module> 
from numpy._distributor_init import NUMPY_MKL # requires numpy+mkl 
ImportError: cannot import name 'NUMPY_MKL' 

S'il vous plaît aidez-moi à mon problème. Merci avant

Answer 1

Imread est disponible à partir du package mahotas.

Exemple:

import mahotas as mh 
from mahotas.features import surf 
image = mh.imread('zipper.jpg', as_grey=True)