read_class_knnT_read_class_knnReadClassKnnReadClassKnnread_class_knn(算子)

名称

read_class_knnT_read_class_knnReadClassKnnReadClassKnnread_class_knn — 从文件中读取 k-NN 分类器。

签名

read_class_knn( : : FileName : KNNHandle)

Herror T_read_class_knn(const Htuple FileName, Htuple* KNNHandle)

void ReadClassKnn(const HTuple& FileName, HTuple* KNNHandle)

void HClassKnn::HClassKnn(const HString& FileName)

void HClassKnn::HClassKnn(const char* FileName)

void HClassKnn::HClassKnn(const wchar_t* FileName)   ( Windows only)

void HClassKnn::ReadClassKnn(const HString& FileName)

void HClassKnn::ReadClassKnn(const char* FileName)

void HClassKnn::ReadClassKnn(const wchar_t* FileName)   ( Windows only)

static void HOperatorSet.ReadClassKnn(HTuple fileName, out HTuple KNNHandle)

public HClassKnn(string fileName)

void HClassKnn.ReadClassKnn(string fileName)

def read_class_knn(file_name: str) -> HHandle

描述

read_class_knnread_class_knnReadClassKnnReadClassKnnReadClassKnnread_class_knn reads the saved classifier from the file FileNameFileNameFileNameFileNamefileNamefile_name (see write_class_knnwrite_class_knnWriteClassKnnWriteClassKnnWriteClassKnnwrite_class_knn). The values of the current classifier are overwritten. The default HALCON file extension for the k-NN classifier is 'gnc'.

执行信息

此算子返回一个句柄。请注意,即使该句柄被用作特定算子的输入参数,这些算子仍可能改变此句柄类型的实例状态。

参数

FileNameFileNameFileNameFileNamefileNamefile_name (输入控制)  filename.read HTuplestrHTupleHtuple (string) (string) (HString) (char*)

File name of the classifier.

文件扩展名: .gnc

KNNHandleKNNHandleKNNHandleKNNHandleKNNHandleknnhandle (输出控制)  class_knn HClassKnn, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)

k-NN 分类器的句柄。

结果

read_class_knnread_class_knnReadClassKnnReadClassKnnReadClassKnnread_class_knn 返回 2 (H_MSG_TRUE)。 An exception is raised if it was not possible to open the file FileNameFileNameFileNameFileNamefileNamefile_name or the file has the wrong format.

可能的后继

classify_class_knnclassify_class_knnClassifyClassKnnClassifyClassKnnClassifyClassKnnclassify_class_knn

另见

create_class_knncreate_class_knnCreateClassKnnCreateClassKnnCreateClassKnncreate_class_knn

参考文献

Marius Muja, David G. Lowe: “Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration”; International Conference on Computer Vision Theory and Applications (VISAPP 09); 2009.

模块

基础