Conduct shoeprint detection, can well realize the original function, to achieve the desired effect

kelp-full-master
................\.gitignore
................\LICENSE
................\README.md
................\pom.xml
................\src
................\...\main
................\...\....\java
................\...\....\....\it
................\...\....\....\..\uniroma2
................\...\....\....\..\........\sag
................\...\....\....\..\........\...\kelp
................\...\....\....\..\........\...\....\main
................\...\....\....\..\........\...\....\....\Classify.java
................\...\....\....\..\........\...\....\....\Learn.java
................\...\test
................\...\....\java
................\...\....\....\it
................\...\....\....\..\uniroma2
................\...\....\....\..\........\sag
................\...\....\....\..\........\...\kelp
................\...\....\....\..\........\...\....\algorithms
................\...\....\....\..\........\...\....\..........\binary
................\...\....\....\..\........\...\....\..........\......\BinaryCSVMTest.java
................\...\....\....\..\........\...\....\..........\......\BinaryNuSVMTest.java
................\...\....\....\..\........\...\....\..........\......\liblinear
................\...\....\....\..\........\...\....\..........\......\.........\LibLinearDenseVsSparseClassificationEvaluator.java
................\...\....\....\..\........\...\....\..........\oneclass
................\...\....\....\..\........\...\....\..........\........\OneClassSVMTest.java
................\...\....\....\..\........\...\....\..........\regression
................\...\....\....\..\........\...\....\..........\..........\EpsilonSVRTest.java
................\...\....\....\..\........\...\....\data
................\...\....\....\..\........\...\....\....\dataset
................\...\....\....\..\........\...\....\....\.......\LibsvmFormatReaderClassificationTest.java
................\...\....\....\..\........\...\....\....\.......\LibsvmFormatReaderRegressionTest.java
................\...\....\....\..\........\...\....\....\example
................\...\....\....\..\........\...\....\....\.......\ExamplePairSerializationTest.java
................\...\....\....\..\........\...\....\....\.......\SimpleExampleSerializationTest.java
................\...\....\....\..\........\...\....\....\representation
................\...\....\....\..\........\...\....\....\..............\vector
................\...\....\....\..\........\...\....\....\..............\......\test
................\...\....\....\..\........\...\....\....\..............\......\....\VectorStandardizationTest.java
................\...\....\....\..\........\...\....\....\..............\......\....\VectorsTest.java
................\...\....\....\..\........\...\....\evaluation
................\...\....\....\..\........\...\....\..........\EvaluatorTest.java
................\...\....\....\..\........\...\....\kernel
................\...\....\....\..\........\...\....\......\cache
................\...\....\....\..\........\...\....\......\.....\KernelCacheTest.java
................\...\....\resources
................\...\....\.........\svmTest
................\...\....\.........\.......\binary
................\...\....\.........\.......\......\binaryCSvm
................\...\....\.........\.......\......\..........\outScores_libsvm_c-svm.txt
................\...\....\.........\.......\......\binaryNuSvm
................\...\....\.........\.......\......\...........\outScores_libsvm_nu-svm.txt
................\...\....\.........\.......\......\binary_test.klp
................\...\....\.........\.......\......\binary_test_libsvm.txt
................\...\....\.........\.......\......\binary_train.klp
................\...\....\.........\.......\......\binary_train_libsvm.txt
................\...\....\.........\.......\......\liblinear
................\...\....\.........\.......\......\.........\polarity_sparse_dense_repr.txt.gz
................\...\....\.........\.......\libsvmFormat
................\...\....\.........\.......\............\classification
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