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https://github.com/PaddlePaddle/FastDeploy.git
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7c4e0d7ba0
* add batch_predict and initialized api for c * add batch_predict and result str in C api * modify visualization function * add micro to add models batchify * refactor and add models for ppdet others * add base define * add results api * add headers * add ppocr models * add codes for implementing api * add code * add ppocr apis * fix code * add codes * fix codes * add demo
96 lines
4.5 KiB
C
96 lines
4.5 KiB
C
// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include "fastdeploy_capi/fd_common.h"
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#include "fastdeploy_capi/fd_type.h"
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#include "fastdeploy_capi/vision/result.h"
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#ifdef __cplusplus
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extern "C" {
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#endif
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/** \brief Show the visualized results for detection models
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*
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* \param[in] im the input image data, comes from cv::imread(), is a 3-D array with layout HWC, BGR format
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* \param[in] result the result produced by model
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* \param[in] score_threshold threshold for result scores, the bounding box will not be shown if the score is less than score_threshold
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* \param[in] line_size line size for bounding boxes
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* \param[in] font_size font size for text
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* \return cv::Mat type stores the visualized results
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*/
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FASTDEPLOY_CAPI_EXPORT extern __fd_give FD_C_Mat
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FD_C_VisDetection(FD_C_Mat im, FD_C_DetectionResult* fd_detection_result,
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float score_threshold, int line_size, float font_size);
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/** \brief Show the visualized results with custom labels for detection models
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*
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* \param[in] im the input image data, comes from cv::imread(), is a 3-D array with layout HWC, BGR format
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* \param[in] result the result produced by model
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* \param[in] labels the visualized result will show the bounding box contain class label
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* \param[in] score_threshold threshold for result scores, the bounding box will not be shown if the score is less than score_threshold
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* \param[in] line_size line size for bounding boxes
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* \param[in] font_size font size for text
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* \return cv::Mat type stores the visualized results
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*/
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FASTDEPLOY_CAPI_EXPORT extern __fd_give FD_C_Mat FD_C_VisDetectionWithLabel(
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FD_C_Mat im,
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FD_C_DetectionResult* fd_detection_result,
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FD_C_OneDimArrayCstr* labels,
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float score_threshold,
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int line_size, float font_size);
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/** \brief Show the visualized results for classification models
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*
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* \param[in] im the input image data, comes from cv::imread(), is a 3-D array with layout HWC, BGR format
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* \param[in] result the result produced by model
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* \param[in] top_k the length of return values, e.g., if topk==2, the result will include the 2 most possible class label for input image.
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* \param[in] score_threshold threshold for top_k scores, the class will not be shown if the score is less than score_threshold
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* \param[in] font_size font size
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* \return cv::Mat type stores the visualized results
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*/
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FASTDEPLOY_CAPI_EXPORT extern __fd_give FD_C_Mat FD_C_VisClassification(
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FD_C_Mat im, FD_C_ClassifyResult* result, int top_k,
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float score_threshold, float font_size);
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/** \brief Show the visualized results with custom labels for classification models
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*
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* \param[in] im the input image data, comes from cv::imread(), is a 3-D array with layout HWC, BGR format
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* \param[in] result the result produced by model
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* \param[in] labels custom labels for user, the visualized result will show the corresponding custom labels
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* \param[in] top_k the length of return values, e.g., if topk==2, the result will include the 2 most possible class label for input image.
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* \param[in] score_threshold threshold for top_k scores, the class will not be shown if the score is less than score_threshold
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* \param[in] font_size font size
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* \return cv::Mat type stores the visualized results
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*/
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FASTDEPLOY_CAPI_EXPORT extern __fd_give FD_C_Mat FD_C_VisClassificationWithLabel(
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FD_C_Mat im, FD_C_ClassifyResult* result,
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FD_C_OneDimArrayCstr* labels, int top_k,
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float score_threshold, float font_size);
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/** \brief Show the visualized results for Ocr models
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*
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* \param[in] im the input image data, comes from cv::imread(), is a 3-D array with layout HWC, BGR format
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* \param[in] result the result produced by model
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* \return cv::Mat type stores the visualized results
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*/
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FASTDEPLOY_CAPI_EXPORT extern __fd_give FD_C_Mat FD_C_VisOcr(FD_C_Mat im, FD_C_OCRResult* ocr_result);
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#ifdef __cplusplus
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} // extern "C"
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#endif
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