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⨍ Functions 531◇ Types & classes 121

↓ 3 callersFunctionsvm_cross_validation

Stratified cross validation

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:2339

↓ 3 callersMethodsvm_cross_validation

(svm_problem prob, svm_parameter param, int nr_fold, double[] target)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:2172

↓ 3 callersFunctionsvm_get_nr_class

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:2465

↓ 3 callersMethodsvm_get_nr_class

(svm_model model)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:2287

↓ 3 callersFunctionsvm_predict_probability

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:2592

↓ 3 callersMethodsvm_predict_probability

(svm_model model, svm_node[] x, double[] prob_estimates)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:2410

↓ 3 callersMethodsvm_set_print_string_function

(svm_print_interface print_func)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:2853

↓ 3 callersMethodupdate_alpha_status

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:328

↓ 2 callersMethodSolve

(int l, QMatrix Q, double[] p, byte[] y, double[] alpha, double Cp, double Cn, double eps, SolutionI

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:901

↓ 2 callersMethod__init__

code/第四章-深度学习/ResNet/testResNet18.py:50

↓ 2 callersMethod__init__

(self, cfgfile)

code/第四章-深度学习/YoloV3/darknet.py:168

↓ 2 callersMethod__init__

(self,name,job_queue,result_queue,options)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:245

↓ 2 callersFunction_extract_images

Extract the images into a 4D uint8 numpy array [index, y, x, depth]. Args: f: A file object that can be passed into a gzip reader. Returns:

code/第四章-深度学习/LENET/tensorflow/nnMnist/input_data.py:48

↓ 2 callersFunction_extract_labels

Extract the labels into a 1D uint8 numpy array [index]. Args: f: A file object that can be passed into a gzip reader. one_hot: Does one hot

code/第四章-深度学习/LENET/tensorflow/nnMnist/input_data.py:83

↓ 2 callersMethodatof

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_predict.java:26

↓ 2 callersMethodatoi

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_predict.java:31

↓ 2 callersMethodbe_shrunk

(int i, double Gmax1, double Gmax2)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:772

↓ 2 callersMethodbe_shrunk

(int i, double Gmax1, double Gmax2, double Gmax3, double Gmax4)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1022

↓ 2 callersMethodbutton_run_clicked

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_toy.java:159

↓ 2 callersFunctionchoose_brush

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-toy/windows/svm-toy.cpp:150

↓ 2 callersFunctionconv2d

(x, W, argument)

code/第四章-深度学习/LENET/tensorflow/nnMnist/nnMnist.py:24

↓ 2 callersFunctioncopy_one_patch

code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/tensorflow_mtcnn.cpp:215

↓ 2 callersFunctioncopy_one_patch

code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/main.cc:280

↓ 2 callersFunctioncosin_metric

code/第四章-深度学习/faceRecognitionCASIA/test.py:47

↓ 2 callersMethoddraw_all_points

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_toy.java:136

↓ 2 callersMethoddraw_point

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_toy.java:114

↓ 2 callersFunctionevaluations

evaluations(ty, pv, useScipy) -> (ACC, MSE, SCC) ty, pv: list, tuple or ndarray useScipy: convert ty, pv to ndarray, and use scipy functions for t

code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/commonutil.py:85

↓ 2 callersFunctionexit_with_help

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-scale.c:7

↓ 2 callersFunctionexit_with_help

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-predict.c:159

↓ 2 callersFunctionexit_with_help

code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/subset.py:9

↓ 2 callersFunctionexit_with_help

code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/libsvmwrite.c:12

↓ 2 callersMethodexit_with_help

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_scale.java:22

↓ 2 callersFunctiongenerateBoundingBox

(imap, reg, scale, t)

code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:657

↓ 2 callersFunctionget_cur_time

code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/utils.cpp:12

↓ 2 callersMethodget_nr_class

code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svm.py:363

↓ 2 callersFunctiongetfilename

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-toy/windows/svm-toy.cpp:128

↓ 2 callersMethodk_function

(svm_node[] x, svm_node[] y, svm_parameter param)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:226

↓ 2 callersFunctionload_graph

code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/tensorflow_mtcnn.cpp:39

↓ 2 callersMethodload_weights

(self, weightfile)

code/第四章-深度学习/YoloV3/darknet.py:230

↓ 2 callersFunctionmax_pool_2x2

code/第四章-深度学习/LENET/tensorflow/nnMnist/nnMnist.py:27

↓ 2 callersFunctionmtcnn_detect

code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/tensorflow_mtcnn.cpp:464

↓ 2 callersFunctionpermute_sequence

code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:171

↓ 2 callersFunctionpowi

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:26

↓ 2 callersMethodpowi

(double base, int times)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:155

↓ 2 callersFunctionprocess_boxes

code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/comm_lib.cpp:123

↓ 2 callersFunctionprocess_boxes

code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/comm_lib.cpp:123

↓ 2 callersFunctionrange_f

(begin,end,step)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:161

↓ 2 callersFunctionread_problem_dense

read in a problem (in svmlight format)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/svmtrain.c:222

↓ 2 callersFunctionreadline

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-train.c:65

↓ 2 callersFunctionreadline

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:2747

↓ 2 callersFunctionreadline

code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/libsvmread.c:38

↓ 2 callersFunctionredraw

(db,best_param,gnuplot,options,tofile=False)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:105

↓ 2 callersFunctionregress_boxes

code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/comm_lib.cpp:77

↓ 2 callersFunctionregress_boxes

code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/comm_lib.cpp:77

↓ 2 callersMethodselect_working_set

(int[] working_set)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:673

↓ 2 callersMethodsetSize

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_toy.java:472

↓ 2 callersFunctionsvm_check_parameter

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:3046

↓ 2 callersMethodsvm_check_parameter

(svm_problem prob, svm_parameter param)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:2722

↓ 2 callersMethodsvm_get_labels

(svm_model model, int[] label)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:2292

↓ 2 callersFunctionsvm_get_svm_type

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:2460

↓ 2 callersMethodsvm_get_svm_type

(svm_model model)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:2282

↓ 2 callersFunctionsvm_get_svr_probability

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:2489

↓ 2 callersMethodsvm_get_svr_probability

(svm_model model)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:2311

↓ 2 callersFunctionsvm_group_classes

label: label name, start: begin of each class, count: #data of classes, perm: indices to the original data perm, length l, must be allocated before ca

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:2014

↓ 2 callersMethodsvm_group_classes

(svm_problem prob, int[] nr_class_ret, int[][] label_ret, int[][] start_ret, int[][] count_ret, int[] perm)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1854

↓ 2 callersMethodsvm_load_model

(String model_file_name)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:2672

↓ 2 callersMethodsvm_save_model

(String model_file_name, svm_model model)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:2459

↓ 2 callersFunctionsvm_set_print_string_function

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:3175

↓ 2 callersFunctionsvm_train_one

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1647

↓ 2 callersMethodsvm_train_one

( svm_problem prob, svm_parameter param, double Cp, double Cn)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1501

↓ 2 callersMethodswap_index

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:156

↓ 2 callersFunctionthreshold_search

(y_score, y_true)

code/第四章-深度学习/faceRecognitionCASIA/test.py:51

↓ 2 callersFunctiontoPyModel

toPyModel(model_ptr) -> svm_model Convert a ctypes POINTER(svm_model) to a Python svm_model

code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svm.py:406

↓ 2 callersFunctionupdate_param

(c,g,rate,best_c,best_g,best_rate,worker,resumed)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:341

↓ 2 callersMethodvalidate_padding

Verifies that the padding is one of the supported ones.

code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:127

↓ 2 callersFunctionwrite_results

(prediction, confidence, num_classes, nms_conf = 0.4)

code/第四章-深度学习/YoloV3/util.py:96

↓ 1 callersFunctionLoadGraph

Reads a model graph definition from disk, and creates a session object you can use to run it.

code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/main.cc:78

↓ 1 callersMethod__init__

code/第四章-深度学习/GAN/testDCGAN.py:22

↓ 1 callersMethod__init__

code/第四章-深度学习/GAN/trainDCGAN.py:327

↓ 1 callersMethod__init__

ArcFace formula: cos(m + theta) = cos(m)cos(theta) - sin(m)sin(theta) Note that: 0 <= m + theta <= Pi So if (

code/第四章-深度学习/faceRecognitionCASIA/model/metric.py:11

↓ 1 callersFunction_dense_to_one_hot

Convert class labels from scalars to one-hot vectors.

code/第四章-深度学习/LENET/tensorflow/nnMnist/input_data.py:73

↓ 1 callersFunction_preprocess

(images: list, transform)

code/第四章-深度学习/faceRecognitionCASIA/test.py:17

↓ 1 callersFunctionarg_parse

Parse arguements to the detect module

code/第四章-深度学习/YoloV3/detect.py:18

↓ 1 callersFunctionarg_parse

Parse arguements to the detect module

code/第四章-深度学习/YoloV3/video.py:17

↓ 1 callersFunctionbbox_iou

Returns the IoU of two bounding boxes

code/第四章-深度学习/YoloV3/util.py:20

↓ 1 callersMethodbutton_change_clicked

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_toy.java:143

↓ 1 callersMethodbutton_clear_clicked

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

↓ 1 callersMethodbutton_load_clicked

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_toy.java:409

↓ 1 callersMethodbutton_save_clicked

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_toy.java:371

↓ 1 callersFunctioncal_pyramid_list

code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/comm_lib.cpp:209

↓ 1 callersFunctioncal_pyramid_list

code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/comm_lib.cpp:209

↓ 1 callersFunctioncalculate_jobs

code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:159

↓ 1 callersMethodcalculate_rho

code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:852

↓ 1 callersFunctionconvert_dataset

code/第四章-深度学习/LENET/caffe/mnistNew/convert_mnist_data.cpp:43

↓ 1 callersFunctioncreate_modules

code/第四章-深度学习/YoloV3/darknet.py:65

↓ 1 callersFunctioncsr_to_problem

(x, prob, isKernel)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svm.py:154

↓ 1 callersFunctioncsr_to_problem_jit

(l, x_val, x_ind, x_rowptr, prob_val, prob_ind, prob_rowptr, indx_start)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svm.py:140

↓ 1 callersFunctioncsr_to_problem_nojit

(l, x_val, x_ind, x_rowptr, prob_val, prob_ind, prob_rowptr, indx_start)

code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svm.py:147

↓ 1 callersFunctiondo_cross_validation

code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-train.c:122

↓ 1 callersFunctiondo_cross_validation

code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/svmtrain.c:64

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