Question

我一直在尝试使用SimpleCV的SVMClassifier进行简单的二进制分类。这是我尝试过的，然后是错误：

svm = SVMClassifier([HueHistogramFeatureExtractor])
svm.train([train_airplanes, train_leaves], ['Airplanes', 'Leaves'])

错误：

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-31-50d09bd20b62> in <module>()
      1 svm = SVMClassifier([HueHistogramFeatureExtractor])
----> 2 svm.train([train_airplanes, train_leaves], ['Airplanes', 'Leaves'])

/usr/local/lib/python2.7/dist-packages/SimpleCV/MachineLearning/SVMClassifier.pyc in train(self, paths, classNames, disp, subset, savedata, verbose)
    229         colNames = []
    230         for extractor in self.mFeatureExtractors:
--> 231             colNames.extend(extractor.getFieldNames())
    232 
    233         if(count <= 0):

TypeError: unbound method getFieldNames() must be called with HueHistogramFeatureExtractor instance as first argument (got nothing instead)

文档很稀疏，所以我不确定我应该做些什么。

Answer 1

我知道这个答案在你的案子中可能为时已晚，但也许它会对其他人有所帮助：

你必须给出FeatureExtractors的分类器实例，而不是类，所以你应该这样做：

svm = SVMClassifier([HueHistogramFeatureExtractor()])

我怎么能在SimpleCV的SVMClassifier中使用featureExtractors？

1 个答案: