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⨍ Functions 531◇ Types & classes 121

↓ 1 callersMethoddo_cross_validation

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_train.java:54

↓ 1 callersMethoddo_shrinking

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:792

↓ 1 callersMethoddot

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:294

↓ 1 callersFunctionevaluations_scipy

evaluations_scipy(ty, pv) -> (ACC, MSE, SCC) ty, pv: ndarray Calculate accuracy, mean squared error and squared correlation coefficient using th

code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/commonutil.py:58

↓ 1 callersFunctionexit_with_help

code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:465

↓ 1 callersFunctionexit_with_help

code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/libsvmread.c:21

↓ 1 callersFunctionfake_answer

code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/libsvmwrite.c:19

↓ 1 callersFunctionfeaturize

featurize each image and save into a dictionary Args: images: image paths transform: test transform net: pretrained model

code/第四章-深度学习/faceRecognitionCASIA/test.py:28

↓ 1 callersFunctionfind_parameters

(dataset_pathname, options='')

code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:339

↓ 1 callersFunctiongenerate_bounding_box_tf

code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/tensorflow_mtcnn.cpp:75

↓ 1 callersFunctiongenerate_bounding_box_tf

code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/main.cc:134

↓ 1 callersMethodget_QD

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1291

↓ 1 callersMethodget_QD

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1176

↓ 1 callersMethodget_nr_sv

code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svm.py:381

↓ 1 callersMethodget_svm_type

code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svm.py:360

↓ 1 callersMethodget_svr_probability

code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svm.py:366

↓ 1 callersMethodget_unique_name

Returns an index-suffixed unique name for the given prefix. This is used for auto-generating layer names based on the type-prefix.

code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:116

↓ 1 callersMethodinit

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_toy.java:46

↓ 1 callersMethodis_probability_model

code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svm.py:384

↓ 1 callersFunctionletterbox_image

resize image with unchanged aspect ratio using padding

code/第四章-深度学习/YoloV3/util.py:187

↓ 1 callersFunctionlibsvmwrite

code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/libsvmwrite.c:26

↓ 1 callersFunctionload_data

(conf, training=True)

code/第四章-深度学习/faceRecognitionCASIA/dataset.py:7

↓ 1 callersFunctionload_file

code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/tensorflow_mtcnn.cpp:14

↓ 1 callersFunctionmain

code/第四章-深度学习/faceDetectionMTCNN/facedetect_mtcnn.py:45

↓ 1 callersFunctionmain

code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/checkdata.py:28

↓ 1 callersFunctionmain

(argv=sys.argv)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/subset.py:89

↓ 1 callersFunctionmatlab_matrix_to_model

code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/svm_model_matlab.c:211

↓ 1 callersFunctionmodel_to_matlab_structure

code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/svm_model_matlab.c:31

↓ 1 callersFunctionmtcnn_detect

code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/main.cc:526

↓ 1 callersFunctionmulticlass_probability

Method 2 from the multiclass_prob paper by Wu, Lin, and Weng

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1829

↓ 1 callersMethodmulticlass_probability

(int k, double[][] r, double[] p)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1682

↓ 1 callersMethodnext_batch

Return the next `batch_size` examples from this data set.

code/第四章-深度学习/LENET/tensorflow/nnMnist/input_data.py:184

↓ 1 callersFunctionoutput_target

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-scale.c:358

↓ 1 callersMethodoutput_target

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_scale.java:42

↓ 1 callersFunctionpadding

code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/comm_lib.cpp:111

↓ 1 callersFunctionpadding

code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/comm_lib.cpp:111

↓ 1 callersFunctionparse_cfg

Takes a configuration file Returns a list of blocks. Each blocks describes a block in the neural network to be built. Block is represent

code/第四章-深度学习/YoloV3/darknet.py:21

↓ 1 callersFunctionparse_command_line

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-train.c:161

↓ 1 callersFunctionparse_command_line

nrhs should be 3

code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/svmtrain.c:108

↓ 1 callersMethodparse_command_line

(String argv[])

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_train.java:137

↓ 1 callersMethodparse_options

(self, options)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:40

↓ 1 callersMethodparse_options

(self, options)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svm.py:269

↓ 1 callersFunctionpredict

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-predict.c:45

↓ 1 callersFunctionpredict

code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/svmpredict.c:49

↓ 1 callersMethodpredict

(BufferedReader input, DataOutputStream output, svm_model model, int predict_probability)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_predict.java:36

↓ 1 callersFunctionpredict_transform

(prediction, inp_dim, anchors, num_classes, CUDA = True)

code/第四章-深度学习/YoloV3/util.py:47

↓ 1 callersFunctionprep_image

Prepare image for inputting to the neural network. Returns a Variable

code/第四章-深度学习/YoloV3/util.py:201

↓ 1 callersFunctionprocess_options

code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/subset.py:25

↓ 1 callersFunctionrandom_selection

(dataset, subset_size)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/subset.py:56

↓ 1 callersFunctionread_model_header

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:2773

↓ 1 callersMethodread_model_header

(BufferedReader fp, svm_model model)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:2554

↓ 1 callersFunctionread_problem

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-train.c:278

↓ 1 callersFunctionread_problem

read in a problem (in libsvm format)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/libsvmread.c:57

↓ 1 callersMethodread_problem

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_train.java:262

↓ 1 callersFunctionread_problem_sparse

code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/svmtrain.c:302

↓ 1 callersFunctionread_sparse_instance

code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/svmpredict.c:20

↓ 1 callersFunctionreadline

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-predict.c:21

↓ 1 callersFunctionremove_dirty_image

(webface_directory, cleaned_list)

code/第四章-深度学习/faceRecognitionCASIA/utils.py:53

↓ 1 callersMethodrun

(String argv[])

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_train.java:92

↓ 1 callersMethodrun

(String []argv)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_scale.java:86

↓ 1 callersFunctionrun_ONet

code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/tensorflow_mtcnn.cpp:345

↓ 1 callersFunctionrun_ONet

code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/main.cc:409

↓ 1 callersFunctionrun_PNet

code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/tensorflow_mtcnn.cpp:140

↓ 1 callersFunctionrun_PNet

code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/main.cc:196

↓ 1 callersFunctionrun_RNet

code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/tensorflow_mtcnn.cpp:234

↓ 1 callersFunctionrun_RNet

code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/main.cc:299

↓ 1 callersMethodrun_one

code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:302

↓ 1 callersMethodset_to_default_values

code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svm.py:249

↓ 1 callersMethodsetup

Construct the network.

code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:75

↓ 1 callersFunctionsigmoid_predict

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1818

↓ 1 callersMethodsigmoid_predict

(double decision_value, double A, double B)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1672

↓ 1 callersFunctionsigmoid_train

Platt's binary SVM Probablistic Output: an improvement from Lin et al.

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1705

↓ 1 callersMethodsigmoid_train

(int l, double[] dec_values, double[] labels, double[] probAB)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1559

↓ 1 callersFunctionsolve_c_svc

construct and solve various formulations

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1440

↓ 1 callersMethodsolve_c_svc

(svm_problem prob, svm_parameter param, double[] alpha, Solver.SolutionInfo si, double Cp, double Cn

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1315

↓ 1 callersFunctionsolve_epsilon_svr

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1562

↓ 1 callersMethodsolve_epsilon_svr

(svm_problem prob, svm_parameter param, double[] alpha, Solver.SolutionInfo si)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1426

↓ 1 callersFunctionsolve_nu_svc

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1475

↓ 1 callersMethodsolve_nu_svc

(svm_problem prob, svm_parameter param, double[] alpha, Solver.SolutionInfo si)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1347

↓ 1 callersFunctionsolve_nu_svr

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1600

↓ 1 callersMethodsolve_nu_svr

(svm_problem prob, svm_parameter param, double[] alpha, Solver.SolutionInfo si)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1459

↓ 1 callersFunctionsolve_one_class

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1530

↓ 1 callersMethodsolve_one_class

(svm_problem prob, svm_parameter param, double[] alpha, Solver.SolutionInfo si)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1398

↓ 1 callersFunctionsquare_boxes

code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/comm_lib.cpp:94

↓ 1 callersFunctionsquare_boxes

code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/comm_lib.cpp:94

↓ 1 callersFunctionstratified_selection

(dataset, subset_size)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/subset.py:60

↓ 1 callersFunctionsvm_binary_svc_probability

Cross-validation decision values for probability estimates

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1893

↓ 1 callersMethodsvm_binary_svc_probability

(svm_problem prob, svm_parameter param, double Cp, double Cn, double[] probAB)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1742

↓ 1 callersFunctionsvm_free_model_content

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:2995

↓ 1 callersFunctionsvm_get_labels

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:2470

↓ 1 callersMethodsvm_get_nr_sv

(svm_model model)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:2306

↓ 1 callersMethodsvm_get_sv_indices

(svm_model model, int[] indices)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:2299

↓ 1 callersFunctionsvm_load_model

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:2887

↓ 1 callersFunctionsvm_save_model

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:2647

↓ 1 callersFunctionsvm_svr_probability

Return parameter of a Laplace distribution

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1980

↓ 1 callersMethodsvm_svr_probability

(svm_problem prob, svm_parameter param)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1823

↓ 1 callersMethodswap_index

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:350

↓ 1 callersFunctiontest

code/第四章-深度学习/LENET/testPytorchLenet/main.py:66

↓ 1 callersFunctiontest

code/第四章-深度学习/faceRecognitionCASIA/test.py:87

↓ 1 callersFunctiontrain

code/第四章-深度学习/LENET/testPytorchLenet/main.py:31

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