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我的代码有问题，这是我的代码列表

import os
os.getcwd()
from SimpleCV import EdgeHistogramFeatureExtractor, HueHistogramFeatureExtractor, MorphologyFeatureExtractor
from SimpleCV.MachineLearning import *
from SimpleCV.ImageClass import Image, ImageSet, ColorSpace
edgeExtractor = EdgeHistogramFeatureExtractor(20) 
hueExtractor = HueHistogramFeatureExtractor(10) 
morphoExtractor = MorphologyFeatureExtractor()
extractorsList = [edgeExtractor, hueExtractor, morphoExtractor]
svm = SVMClassifier(extractorsList)
tree = TreeClassifier(extractorsList, flavor='Boosted')
naiveBayes = NaiveBayesClassifier(extractorsList)
trainPaths = ['C:\\Users\\abi\\Documents\\program coba\\ImageTrain', 'C:\\Users\\abi\\Documents\\program coba\\ImageTest']
trainPaths = ['C:\\Users\\abi\\Documents\\program coba\\ImageTrain\\Positive1', 'C:\\Users\\abi\\Documents\\program coba\\ImageTrain\\Negative1']
classes = ['Negative', 'Positive']
svm.train(trainPaths, classes, savedata="mydata.txt", verbose=False)
testPaths = ['C:\\Users\\abi\\Documents\\program coba\\ImageTest\\Positive1', 'C:\\Users\\abi\\Documents\\program coba\\ImageTest\\Negative1']
print "SVM:", svm.test(testPaths, classes, verbose=False) # [good, bad, confusion]

edgeExtractor = EdgeHistogramFeatureExtractor(20)
svm = SVMClassifier(extractorsList)

listImages = ImageSet()
   for p in ['C:\\Users\\abi\\Documents\\program coba\\NewImages\\coba']: 
        listImages += ImageSet(p)

   for image in listImages:
        className = svm.classify(image)
        image.drawText(className,25,25,fontsize=60)       
listImages.show()

之后我遇到了这样的问题

Traceback (most recent call last):
  File "C:\Users\abi\Documents\program coba\imnew", line 28, in <module>
    className = svm.classify(image)
  File "C:\Python27\lib\site-packages\SimpleCV\MachineLearning\SVMClassifier.py", line 153, in classify
       featureVector.extend([self.mClassNames[0]])
IndexError: list index out of range

有IndexError按摩，但我不知道什么代码错了。现在我使用 Python 2.7.3。请帮帮我

4

1 回答 1

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svm被初始化两次。第二次，你跳过svm.train()，这就是为什么self.mClassNames[0]是空的。

mClassNames由以下classes参数填充：

svm.train(trainPaths, classes, savedata="mydata.txt", verbose=False)`

只需删除第二个svm = SVMClassifier(extractorsList)，这应该可以解决IndexError.

但是请注意，根据文档，您的classes订单与以下图像路径的顺序不一致trainPaths：

图像 - 路径或图像集的顺序必须与类类型的顺序相同。
- 注意所有图像类必须位于单独的目录中。
- 类名也必须与目录对齐。

这建议classes应更改为trainPaths：

trainPaths = ['C:\\Users\\abi\\Documents\\program coba\\ImageTrain\\Positive1', 
              'C:\\Users\\abi\\Documents\\program coba\\ImageTrain\\Negative1']
classes = ['Positive', 'Negative']

您可能还需要使classes字符串与图像目录字符串完全匹配。源代码中的注释有些模棱两可。trainPaths由于某种原因，您还定义了两次。

于 2017-10-26T06:53:04.830 回答