TypeError: __init__() takes exactly 1 argument (2 given)

这段代码摘自Philipp博客(http://bytefish.de/blog/fisherfaces/;https://github.com/bytefish/facerec) 如下为 fisherfaces_example.py #!/usr/bin/env python # -*- coding: utf-8 -*- # Copyright (c) Philipp Wagner. All rights reserved. # Licensed under the BSD license. See LICENSE file in the project root for full license information. import sys import os # append facerec to module search path sys.path.append("../..") # import facerec stuff from facerec.dataset import NumericDataSet from facerec.feature import Fisherfaces from facerec.distance import EuclideanDistance, CosineDistance from facerec.classifier import NearestNeighbor from facerec.classifier import SVM from facerec.model import PredictableModel from facerec.validation import KFoldCrossValidation from facerec.visual import subplot from facerec.util import minmax_normalize # import numpy import numpy as np # import matplotlib colormaps import matplotlib.cm as cm # import for logging import logging import sys # set up a handler for logging handler = logging.StreamHandler(sys.stdout) formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') handler.setFormatter(formatter) # add handler to facerec modules logger = logging.getLogger("facerec") logger.addHandler(handler) logger.setLevel(logging.DEBUG) # load a dataset (e.g. AT&T Facedatabase) dataSet = NumericDataSet("C:\Users\WT\Desktop\jpg")#"/home/philipp/facerec/data/yalefaces_recognition" #os.path.join('C:\Users\WT\Desktop\jpg\s1', '1.pgm') # define Fisherfaces as feature extraction method feature = Fisherfaces() # define a 1-NN classifier with Euclidean Distance classifier = NearestNeighbor(dist_metric=EuclideanDistance(), k=1) # define the model as the combination model = PredictableModel(feature=feature, classifier=classifier) # show fisherfaces model.compute(dataSet.data, dataSet.labels) # turn the first (at most) 16 eigenvectors into grayscale # images (note: eigenvectors are stored by column!) E = [] for i in xrange(min(model.feature.eigenvectors.shape[1], 16)): e = model.feature.eigenvectors[:, i].reshape(dataSet.data[0].shape) E.append(minmax_normalize(e, 0, 255, dtype=np.uint8)) # plot them and store the plot to "python_fisherfaces_fisherfaces.pdf" subplot(title="Fisherfaces", images=E, rows=4, cols=4, sptitle="Fisherface", colormap=cm.jet, filename="fisherfaces.pdf") # perform a 10-fold cross validation cv = KFoldCrossValidation(model, k=10) cv.validate(dataSet.data, dataSet.labels) cv.print_results() 运行报错：C:\Python\python.exe I:/facerec-master/py/apps/scripts/fisherfaces_example.py Traceback (most recent call last):   File "I:/facerec-master/py/apps/scripts/fisherfaces_example.py", line 37, in <module>     dataSet = NumericDataSet("C:\Users\WT\Desktop\jpg") TypeError: __init__() takes exactly 1 argument (2 given) Process finished with exit code 1 新手初出茅庐，请多多指教！