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36124f6205
* check in cmake * move backend_ops to csrc/backend_ops * check in preprocess, model, some codebase and their c-apis * check in CMakeLists.txt * check in parts of test_csrc * commit everything else * add readme * update core's BUILD_INTERFACE directory * skip codespell on third_party * update trt_net and ort_net's CMakeLists * ignore clion's build directory * check in pybind11 * add onnx.proto. Remove MMDeploy's dependency on ncnn's source code * export MMDeployTargets only when MMDEPLOY_BUILD_SDK is ON * remove useless message * target include directory is wrong * change target name from mmdeploy_ppl_net to mmdeploy_pplnn_net * skip install directory * update project's cmake * remove useless code * set CMAKE_BUILD_TYPE to Release by force if it isn't set by user * update custom ops CMakeLists * pass object target's source lists * fix lint end-of-file * fix lint: trailing whitespace * fix codespell hook * remove bicubic_interpolate to csrc/backend_ops/ * set MMDEPLOY_BUILD_SDK OFF * change custom ops build command * add spdlog installation command * update docs on how to checkout pybind11 * move bicubic_interpolate to backend_ops/tensorrt directory * remove useless code * correct cmake * fix typo * fix typo * fix install directory * correct sdk's readme * set cub dir when cuda version < 11.0 * change directory where clang-format will apply to * fix build command * add .clang-format * change clang-format style from google to file * reformat csrc/backend_ops * format sdk's code * turn off clang-format for some files * add -Xcompiler=-fno-gnu-unique * fix trt topk initialize * check in config for sdk demo * update cmake script and csrc's readme * correct config's path * add cuda include directory, otherwise compile failed in case of tensorrt8.2 * clang-format onnx2ncnn.cpp Co-authored-by: zhangli <lzhang329@gmail.com> Co-authored-by: grimoire <yaoqian@sensetime.com>
81 lines
3.4 KiB
C
81 lines
3.4 KiB
C
// Copyright (c) OpenMMLab. All rights reserved.
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/**
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* @file text_recognizer.h
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* @brief Interface to MMOCR text recognition task
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*/
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#ifndef MMDEPLOY_SRC_APIS_C_TEXT_RECOGNIZER_H_
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#define MMDEPLOY_SRC_APIS_C_TEXT_RECOGNIZER_H_
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#include "common.h"
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#include "text_detector.h"
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typedef struct mm_text_recognize_t {
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char* text;
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float* score;
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int length;
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} mm_text_recognize_t;
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MM_SDK_API int mmdeploy_text_recognizer_create(mm_model_t model, const char* device_name,
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int device_id, mm_handle_t* handle);
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/**
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* @brief Create a text recognizer instance
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* @param[in] model_path path to text recognition model
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* @param[in] device_name name of device, such as "cpu", "cuda" and etc.
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* @param[in] device_id id of device.
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* @param[out] handle handle of the created text recognizer, which must be destroyed
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* by \ref mmdeploy_text_recognizer_destroy
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* @return status code of the operation
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*/
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MM_SDK_API int mmdeploy_text_recognizer_create_by_path(const char* model_path,
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const char* device_name, int device_id,
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mm_handle_t* handle);
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/**
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* @brief Apply text recognizer to a batch of text images
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* @param[in] handle text recognizer's handle created by \ref
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* mmdeploy_text_recognizer_create_by_path
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* @param[in] images a batch of text images
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* @param[in] count number of images in the batch
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* @param[out] results a linear buffer contains the recognized text, must be release
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* by \ref mmdeploy_text_recognizer_release_result
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* @return status code of the operation
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*/
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MM_SDK_API int mmdeploy_text_recognizer_apply(mm_handle_t handle, const mm_mat_t* images, int count,
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mm_text_recognize_t** results);
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/**
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* @brief Apply text recognizer to a batch of images supplied with text bboxes
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* @param[in] handle text recognizer's handle created by \ref
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* mmdeploy_text_recognizer_create_by_path
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* @param[in] images a batch of text images
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* @param[in] image_count number of images in the batch
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* @param[in] bboxes bounding boxes detected by text detector
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* @param[in] bbox_count number of bboxes of each \p images, must be same length as \p images
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* @param[out] results a linear buffer contains the recognized text, which has the same length as \p
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* bboxes, must be release by \ref mmdeploy_text_recognizer_release_result
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* @return status code of the operation
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*/
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MM_SDK_API int mmdeploy_text_recognizer_apply_bbox(mm_handle_t handle, const mm_mat_t* images,
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int image_count, const mm_text_detect_t* bboxes,
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const int* bbox_count,
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mm_text_recognize_t** results);
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/** @brief Release result buffer returned by \ref mmdeploy_text_recognizer_apply or \ref
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* mmdeploy_text_recognizer_apply_bbox
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* @param[in] results result buffer by text recognizer
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* @param[in] count length of \p result
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*/
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MM_SDK_API void mmdeploy_text_recognizer_release_result(mm_text_recognize_t* results, int count);
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/**
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* @brief destroy text recognizer
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* @param[in] handle handle of text recognizer created by \ref
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* mmdeploy_text_recognizer_create_by_path
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*/
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MM_SDK_API void mmdeploy_text_recognizer_destroy(mm_handle_t handle);
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#endif // MMDEPLOY_SRC_APIS_C_TEXT_RECOGNIZER_H_
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