deserialize_ocr_class_knnT_deserialize_ocr_class_knnDeserializeOcrClassKnnDeserializeOcrClassKnndeserialize_ocr_class_knn反序列化光学字符识别类K-最近邻(算子)

名称

deserialize_ocr_class_knnT_deserialize_ocr_class_knnDeserializeOcrClassKnnDeserializeOcrClassKnndeserialize_ocr_class_knn — 反序列化基于 k-NN 的序列化 OCR 分类器。

签名

deserialize_ocr_class_knn( : : SerializedItemHandle : OCRHandle)

Herror T_deserialize_ocr_class_knn(const Htuple SerializedItemHandle, Htuple* OCRHandle)

void DeserializeOcrClassKnn(const HTuple& SerializedItemHandle, HTuple* OCRHandle)

void HOCRKnn::DeserializeOcrClassKnn(const HSerializedItem& SerializedItemHandle)

static void HOperatorSet.DeserializeOcrClassKnn(HTuple serializedItemHandle, out HTuple OCRHandle)

void HOCRKnn.DeserializeOcrClassKnn(HSerializedItem serializedItemHandle)

def deserialize_ocr_class_knn(serialized_item_handle: HHandle) -> HHandle

描述

deserialize_ocr_class_knndeserialize_ocr_class_knnDeserializeOcrClassKnnDeserializeOcrClassKnnDeserializeOcrClassKnndeserialize_ocr_class_knn 用于反序列化一个基于 k-NN 的 OCR 分类器,该分类器此前已由 serialize_ocr_class_knnserialize_ocr_class_knnSerializeOcrClassKnnSerializeOcrClassKnnSerializeOcrClassKnnserialize_ocr_class_knn 进行序列化(有关序列化基本原理的介绍,请参阅 fwrite_serialized_itemfwrite_serialized_itemFwriteSerializedItemFwriteSerializedItemFwriteSerializedItemfwrite_serialized_item)。序列化的 OCR 分类器由句柄 SerializedItemHandleSerializedItemHandleSerializedItemHandleSerializedItemHandleserializedItemHandleserialized_item_handle 定义。反序列化的值将存储在一个自动创建的 OCR 分类器中,其句柄为 OCRHandleOCRHandleOCRHandleOCRHandleOCRHandleocrhandle

执行信息

参数

SerializedItemHandleSerializedItemHandleSerializedItemHandleSerializedItemHandleserializedItemHandleserialized_item_handle (输入控制)  serialized_item HSerializedItem, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)

序列化项的句柄。

OCRHandleOCRHandleOCRHandleOCRHandleOCRHandleocrhandle (输出控制)  ocr_knn HOCRKnn, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)

OCR 分类器的句柄。

结果

如果参数有效,算子 deserialize_ocr_class_knndeserialize_ocr_class_knnDeserializeOcrClassKnnDeserializeOcrClassKnnDeserializeOcrClassKnndeserialize_ocr_class_knn 返回值 2 (H_MSG_TRUE)。如有必要,则抛出异常。

可能的前趋

fread_serialized_itemfread_serialized_itemFreadSerializedItemFreadSerializedItemFreadSerializedItemfread_serialized_item, receive_serialized_itemreceive_serialized_itemReceiveSerializedItemReceiveSerializedItemReceiveSerializedItemreceive_serialized_item, serialize_ocr_class_knnserialize_ocr_class_knnSerializeOcrClassKnnSerializeOcrClassKnnSerializeOcrClassKnnserialize_ocr_class_knn

可能的后继

classify_class_knnclassify_class_knnClassifyClassKnnClassifyClassKnnClassifyClassKnnclassify_class_knn

另见

create_ocr_class_knncreate_ocr_class_knnCreateOcrClassKnnCreateOcrClassKnnCreateOcrClassKnncreate_ocr_class_knn, serialize_ocr_class_knnserialize_ocr_class_knnSerializeOcrClassKnnSerializeOcrClassKnnSerializeOcrClassKnnserialize_ocr_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

光学字符识别/光学字符验证