PYME.Analysis.svmSegment module¶
- PYME.Analysis.svmSegment.extractFeatures(im)¶
- PYME.Analysis.svmSegment.extractFeatures2(im)¶
- PYME.Analysis.svmSegment.normalizeFeatures(fv, normalization=None)¶
- PYME.Analysis.svmSegment.performClassification(clf, fv)¶
- PYME.Analysis.svmSegment.prob_predict(clf, fv)¶
- class PYME.Analysis.svmSegment.svmClassifier(clf=None, filename=None)¶
Bases:
object- classify(im)¶
- loadFile(filename)¶
- probabilities(im)¶
- save(filename)¶
- train(im, labels, newInstance=False)¶
- trainAndClassify(im, labels)¶
- PYME.Analysis.svmSegment.trainClassifier(features, labels)¶