set_deep_ocr_paramT_set_deep_ocr_paramSetDeepOcrParamSetDeepOcrParamset_deep_ocr_param设置深度光学字符识别参数（算子）

名称

set_deep_ocr_paramT_set_deep_ocr_paramSetDeepOcrParamSetDeepOcrParamset_deep_ocr_param — 设置深度 OCR 模型的参数。

签名

set_deep_ocr_param( : : DeepOcrHandle, GenParamName, GenParamValue : )

描述

set_deep_ocr_paramset_deep_ocr_paramSetDeepOcrParamSetDeepOcrParamSetDeepOcrParamset_deep_ocr_param 将深度 OCR 模型 DeepOcrHandleDeepOcrHandleDeepOcrHandleDeepOcrHandledeepOcrHandledeep_ocr_handle 的参数 GenParamNameGenParamNameGenParamNameGenParamNamegenParamNamegen_param_name 设置为值 GenParamValueGenParamValueGenParamValueGenParamValuegenParamValuegen_param_value。

可能的参数已在 get_deep_ocr_paramget_deep_ocr_paramGetDeepOcrParamGetDeepOcrParamGetDeepOcrParamget_deep_ocr_param 中列出并描述。深度 OCR 工作流程的概述详见 OCR / 深度 OCR。

注意

系统要求：要成功设置 'gpu'"gpu""gpu""gpu""gpu""gpu" 参数，需要安装 cuDNN 和 cuBLAS，即需将参数 GenParamNameGenParamNameGenParamNameGenParamNamegenParamNamegen_param_name 'device'"device""device""device""device""device" 设置为 GPU 设备。更多详细信息，请参阅 “安装指南” 中的“深度学习及基于深度学习方法的要求”一章。

执行信息

多线程类型：可重入（与非独占算子并行运行）。
多线程作用域：全局（可从任何线程调用）。
未采用并行化处理。

参数

DeepOcrHandleDeepOcrHandleDeepOcrHandleDeepOcrHandledeepOcrHandledeep_ocr_handle (输入控制) deep_ocr → (handle)

深度 OCR 模型的句柄。

GenParamNameGenParamNameGenParamNameGenParamNamegenParamNamegen_param_name (输入控制) attribute.name → (string)

通用参数的名称。

默认值： 'detection_image_width' "detection_image_width" "detection_image_width" "detection_image_width" "detection_image_width" "detection_image_width"

值列表： 'detection_device'"detection_device""detection_device""detection_device""detection_device""detection_device", 'detection_image_height'"detection_image_height""detection_image_height""detection_image_height""detection_image_height""detection_image_height", 'detection_image_size'"detection_image_size""detection_image_size""detection_image_size""detection_image_size""detection_image_size", 'detection_image_width'"detection_image_width""detection_image_width""detection_image_width""detection_image_width""detection_image_width", 'detection_min_character_score'"detection_min_character_score""detection_min_character_score""detection_min_character_score""detection_min_character_score""detection_min_character_score", 'detection_min_link_score'"detection_min_link_score""detection_min_link_score""detection_min_link_score""detection_min_link_score""detection_min_link_score", 'detection_min_word_area'"detection_min_word_area""detection_min_word_area""detection_min_word_area""detection_min_word_area""detection_min_word_area", 'detection_min_word_score'"detection_min_word_score""detection_min_word_score""detection_min_word_score""detection_min_word_score""detection_min_word_score", 'detection_model'"detection_model""detection_model""detection_model""detection_model""detection_model", 'detection_orientation'"detection_orientation""detection_orientation""detection_orientation""detection_orientation""detection_orientation", 'detection_sort_by_line'"detection_sort_by_line""detection_sort_by_line""detection_sort_by_line""detection_sort_by_line""detection_sort_by_line", 'detection_tiling'"detection_tiling""detection_tiling""detection_tiling""detection_tiling""detection_tiling", 'detection_tiling_overlap'"detection_tiling_overlap""detection_tiling_overlap""detection_tiling_overlap""detection_tiling_overlap""detection_tiling_overlap", 'device'"device""device""device""device""device", 'recognition_alphabet_internal'"recognition_alphabet_internal""recognition_alphabet_internal""recognition_alphabet_internal""recognition_alphabet_internal""recognition_alphabet_internal", 'recognition_alphabet_mapping'"recognition_alphabet_mapping""recognition_alphabet_mapping""recognition_alphabet_mapping""recognition_alphabet_mapping""recognition_alphabet_mapping", 'recognition_batch_size'"recognition_batch_size""recognition_batch_size""recognition_batch_size""recognition_batch_size""recognition_batch_size", 'recognition_device'"recognition_device""recognition_device""recognition_device""recognition_device""recognition_device", 'recognition_image_width'"recognition_image_width""recognition_image_width""recognition_image_width""recognition_image_width""recognition_image_width", 'recognition_model'"recognition_model""recognition_model""recognition_model""recognition_model""recognition_model", 'recognition_num_char_candidates'"recognition_num_char_candidates""recognition_num_char_candidates""recognition_num_char_candidates""recognition_num_char_candidates""recognition_num_char_candidates"

GenParamValueGenParamValueGenParamValueGenParamValuegenParamValuegen_param_value (输入控制) attribute.value(-array) → (real / string / integer / handle)

通用参数的值。

默认值： 1024

建议值： 0, 10, 50, 100, 200, 512, 768, 1024, 1280, 0.3, 0.4, 0.5, 0.6, 0.7, 'true'"true""true""true""true""true", 'false'"false""false""false""false""false", 'auto'"auto""auto""auto""auto""auto", 'compact'"compact""compact""compact""compact""compact", 'default'"default""default""default""default""default", 'pretrained_deep_ocr_detection.hdl'"pretrained_deep_ocr_detection.hdl""pretrained_deep_ocr_detection.hdl""pretrained_deep_ocr_detection.hdl""pretrained_deep_ocr_detection.hdl""pretrained_deep_ocr_detection.hdl", 'pretrained_deep_ocr_detection_compact.hdl', 'pretrained_deep_ocr_recognition.hdl'"pretrained_deep_ocr_recognition.hdl""pretrained_deep_ocr_recognition.hdl""pretrained_deep_ocr_recognition.hdl""pretrained_deep_ocr_recognition.hdl""pretrained_deep_ocr_recognition.hdl"

结果

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

可能的前趋

create_deep_ocrcreate_deep_ocrCreateDeepOcrCreateDeepOcrCreateDeepOcrcreate_deep_ocr, get_deep_ocr_paramget_deep_ocr_paramGetDeepOcrParamGetDeepOcrParamGetDeepOcrParamget_deep_ocr_param

可能的后继

get_deep_ocr_paramget_deep_ocr_paramGetDeepOcrParamGetDeepOcrParamGetDeepOcrParamget_deep_ocr_param, apply_deep_ocrapply_deep_ocrApplyDeepOcrApplyDeepOcrApplyDeepOcrapply_deep_ocr

另见

get_deep_ocr_paramget_deep_ocr_paramGetDeepOcrParamGetDeepOcrParamGetDeepOcrParamget_deep_ocr_param

模块

光学字符识别/光学字符验证

算子